{"info":{"_postman_id":"e56edc8d-cade-2ffe-7091-da99324c4f08","name":"Voxbone Analytics Metadata API","description":"API for retrieving analytics output data on speech analytics performed on telephony calls. The response contains;\n\n- Basic CDR data such as start time, connect time, callerId, etc.\n- Recorded file data such as format, file name, download link, etc.\n- Speech Analytics data output such as :\n  - *Transcription* : Speech-to-text analysis of the conversation as words with timestamps for each participant in the call. Available on all supported languages\n\n  - *Talk Time* : Proportion of how much of the call each participant spoke as a percentage of the whole call. Includes talk time per participant and how much each participant (if ever) interrupted one another during the call. Available on all supported languages.\n\n  - *Sentiment* : Sentiment analysis based on the meaning and context of each sentence. Presented as scores between -1 and 1. Limited availability based on language. Available for : English, French, German, Italian, Japanese, Korean, Portuguese, Spanish, Chinese(Simplified), Chinese(Traditional).\n\n\n# Object Structures\n  \n## CDRs\n\nCDR object contains basic details about the call.\n\n```\nCdr:\n    type: object\n    properties:\n      requestUri:\n        type: string\n        example: 'sip:fikrippi@ippi.fr'\n      relatedVoxboneCallId:\n        type: string\n        example: NFHP7QXJ5VBNRGNG5TEDRK4Y6Y@81.201.82.106\n      callingNumber:\n        type: string\n        example: anonymous\n      calledNumber:\n        type: string\n        example: '883510080983'\n        description: Called Voxbone DID\n      startTime:\n        type: string\n        format: date-time\n        example: '2017-11-17T13:38:00.000Z'\n      connectTime:\n        type: string\n        format: date-time\n        example: '2017-11-17T13:38:01.000Z'\n      endTime:\n        type: string\n        format: date-time\n        example: '2017-11-17T13:40:56.000Z'\n      duration:\n        type: integer\n        format: int32\n        description: Duration of the call in seconds\n        example: '55'\n    ```\n## Recordings\nContains recorded file information related to a specific call along with links to the file you can use to download or play the recording.\n\n ```\n type: object\n    properties:\n      id:\n        type: integer\n        format: int64\n      callId:\n        type: string\n        description: Internal call ID generated by the recording system\n        example: 86456775-5b7c-47c0-8e7c-3089f1186c2f\n      downloadLink:\n        type: string\n        description: Download link for your recording\n        example: >-\n          https://www.googleapis.com/download/storage/v1/b/voxbone-workshop-speech-analytics/o/callee-NFHP7QXJ5VBNRGNG5TED4Y6Y@81.201.82.106.flac?generation=1510925968503714&alt=media\n      format:\n        type: string\n        description: Recording file format\n        example: flac\n      recorder:\n        type: string\n        description: Recording system used\n        example: drachtio-recording-service\n      codec:\n        type: string\n        example: PCMA\n      duration:\n        type: integer\n        format: int32\n        description: Recording duration in seconds\n        example: '55'\n      channels:\n        type: integer\n        format: int32\n        description: Number of channels in the recording\n        example: '1'\n      createdAt:\n        type: string\n        format: date-time\n        example: '2017-11-17T13:38:00.000Z'\n      endedAt:\n        type: string\n        format: date-time\n        example: '2017-11-17T13:40:56.000Z'\n      participantDescription:\n        type: string\n        enum:\n          - caller\n          - callee\n      completion:\n        type: string\n        enum:\n          - normal\n          - failed\n      recordingProfileId:\n        type: string\n        description: Voxbone customer name\n        example: voxbone_developers\n      updatedAt:\n        type: string\n        format: date-time\n        ```\n\n## Analytics\n\nAnalytics object contains all results from speech analytics performed on the call leg such as transcription, talk time analysis and sentiment scores.\n\n#### Talk Time Analysis\nShows the ratio of talk time of participant vs. the full duration of the call. Also shows how much the participant talked over the other participant (overtalk). Has value between 0 and 1.\n\n```\n  talkTimeAnalysis:\n    type: object\n    properties:\n      overTalk:\n        type: number\n        format: double\n        description: >-\n          Overtalk amount for this participant over the other. Ranges from 0 to\n          1\n        example: '0.05'\n      talkTime:\n        type: number\n        format: double\n        description: Portion of the call where this participant spoke\n        example: '0.64'\n      failureReason:\n        type: string\n        description: 'If the computation failed, reason for the failure'\n        example: Second call leg missing\n    ```\n#### Transcription\nContains speech to text transcription of the recorded participant in words with timestamps in miliseconds.\n\n```\n  speechToText:\n    type: object\n    properties:\n      transcript:\n        type: array\n        description: Array that groups sentences together for the full transcription\n        items:\n          type: array\n          description: Array that groups word objects together into a sentence\n          items:\n            type: object\n            properties:\n              startTimestamp:\n                type: integer\n                format: int32\n                description: 'Start timestamp for this word, in miliseconds'\n              endTimestamp:\n                type: integer\n                format: int32\n                description: 'End timestamp for this word, in miliseconds'\n              word:\n                type: string\n                description: Transcribed word\n      plainTranscription:\n        type: object\n        description: Transcription in plain text for this call leg. Searchable field\n        properties:\n          def:\n            type: string\n            description: >-\n              Contains plain transcription for his call leg, for languages\n              different than english or spanish\n            example: Merhaba nasılsın?\n          en:\n            type: string\n            description: >-\n              Contains plain transcription for his call leg, for language\n              english\n            example: 'Hello, how are you?'\n          es:\n            type: string\n            description: >-\n              Contains plain transcription for his call leg, for language\n              spanish\n            example: 'Hola, como estás?'\n      lang:\n        type: string\n        example: en-US\n        description: >-\n          Language selected for this transcription. If present, overwrites the\n          global language for this service, selected in Analytics settings. This\n          is the language selected per DID basis\n      mediaId:\n        type: string\n        example: '5846209630285946610'\n        description: >-\n          Unique identifier returned by the speech to text partner for this\n          request. Format varies depending on the partner\n      failureReason:\n        type: string\n        example: Unsupported language\n        description: Failure reason for the speech to text api call\n        ```\n#### Sentiment\nShows sentiment score per sentence for the recorded participants. Values range between -1 and 1, showing negative and positive sentiments. Subject to availability based on language.\n\n```\n  sentimentAnalysis:\n    type: object\n    properties:\n      score:\n        type: number\n        format: double\n        description: >-\n          Sentiment score between -1.0 (negative sentiment) and 1.0 (positive\n          sentiment) for the whole document\n      magnitude:\n        type: number\n        format: double\n        description: >-\n          A non-negative number in the [0, +inf) range, which represents the\n          absolute magnitude of sentiment regardless of score (positive or\n          negative) for the whole document\n      language:\n        type: string\n        example: en\n        description: Autodetected language by the sentiment analysis engine\n      failureReason:\n        type: string\n        example: Unsupported language\n        description: Description of failure\n      sentences:\n        type: array\n        description: >-\n          Array that groups sentences together for the full sentiment analysis\n          document\n        items:\n          type: object\n          properties:\n            sentiment:\n              type: object\n              properties:\n                score:\n                  type: number\n                  format: double\n                  description: >-\n                    Sentiment score between -1.0 (negative sentiment) and 1.0\n                    (positive sentiment) for this sentence\n                magnitude:\n                  type: number\n                  format: double\n                  description: >-\n                    A non-negative number in the [0, +inf) range, which\n                    represents the absolute magnitude of sentiment regardless of\n                    score (positive or negative) for this sentence\n            text:\n              type: object\n              description: Represents an output piece of text\n              properties:\n                content:\n                  type: string\n                  example: Thank you for calling us\n                  description: The content of the output text\n                beginOffset:\n                  type: integer\n                  format: int32\n                  example: '0'\n                  description: >-\n                    The API calculates the beginning offset of the content in\n                    the original document according to the EncodingType\n                    specified in the API request\n                    ```\n                    \n \n        \n# API Endpoints","schema":"https://schema.getpostman.com/json/collection/v2.0.0/collection.json"},"item":[{"name":"GET Most Recent CDRs","id":"99e8a20d-64bf-40aa-3530-6d5d3b3ce10e","request":{"auth":{"type":"basic","basic":{"password":"Something123","username":"email-demo-user","showPassword":false}},"method":"GET","header":[],"body":{"mode":"formdata","formdata":[]},"url":"https://metadata-api.voxboneworkshop.com/v1/cdrs/","description":"GET the 10 most recently generated CDRs"},"response":[{"id":"fa5ab2ba-f879-808b-566a-c67bf938fc0d","name":"GET Most Recent CDRs","originalRequest":{"method":"GET","header":[],"body":{"mode":"formdata","formdata":[]},"url":"https://metadata-api.voxboneworkshop.com/v1/cdrs"},"status":"OK","code":200,"_postman_previewlanguage":"json","header":[{"key":"Connection","value":"keep-alive","name":"Connection","description":""},{"key":"Content-Length","value":"108811","name":"Content-Length","description":""},{"key":"Content-Type","value":"application/json; charset=utf-8","name":"Content-Type","description":""},{"key":"Date","value":"Mon, 18 Dec 2017 12:19:39 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welcome to voxbone AI voxbone demonstration site for its latest speech recognition and artificial intelligence features.\",\"beginOffset\":0}}],\"failureReason\":null},\"speechToText\":{\"transcript\":[[{\"endTimestamp\":800,\"word\":\"hello\",\"startTimestamp\":200},{\"endTimestamp\":1900,\"word\":\"welcome\",\"startTimestamp\":900},{\"endTimestamp\":2100,\"word\":\"to\",\"startTimestamp\":1900},{\"endTimestamp\":2200,\"word\":\"voxbone\",\"startTimestamp\":2100},{\"endTimestamp\":3100,\"word\":\"AI\",\"startTimestamp\":2200},{\"endTimestamp\":3800,\"word\":\"voxbone\",\"startTimestamp\":3100},{\"endTimestamp\":5000,\"word\":\"demonstration\",\"startTimestamp\":4000},{\"endTimestamp\":5500,\"word\":\"site\",\"startTimestamp\":5000},{\"endTimestamp\":5700,\"word\":\"for\",\"startTimestamp\":5500},{\"endTimestamp\":5800,\"word\":\"its\",\"startTimestamp\":5700},{\"endTimestamp\":6300,\"word\":\"latest\",\"startTimestamp\":5800},{\"endTimestamp\":6800,\"word\":\"speech\",\"startTimestamp\":6300},{\"endTimestamp\":7200,\"word\":\"recognition\",\"startTimestamp\":6800},{\"endTimestamp\":7900,\"word\":\"and\",\"startTimestamp\":7200},{\"endTimestamp\":8200,\"word\":\"artificial\",\"startTimestamp\":7900},{\"endTimestamp\":9100,\"word\":\"intelligence\",\"startTimestamp\":8200},{\"endTimestamp\":9600,\"word\":\"features\",\"startTimestamp\":9100}]],\"plainTranscription\":{\"en\":\"hello welcome to voxbone AI voxbone demonstration site for its latest speech recognition and artificial intelligence features. \"},\"keywords\":null,\"failureReason\":null}}]},{\"callId\":\"3bcb1b18-43c0-42a4-87ab-349f59b8ba13\",\"participantDescription\":\"caller\",\"completion\":\"normal\",\"fileName\":\"caller-DEEAKKCAQ5BWNEA6D6PAP7G5A4@81.201.82.107.flac\",\"recorder\":\"drachtio-recording-service\",\"format\":\"flac\",\"duration\":\"11\",\"codec\":\"PCMU\",\"createdAt\":\"2017-12-13T17:53:20.000Z\",\"channels\":1,\"downloadLink\":\"https://www.googleapis.com/download/storage/v1/b/voxbone-workshop-speech-analytics/o/caller-DEEAKKCAQ5BWNEA6D6PAP7G5A4@81.201.82.107.flac?generation=1513187629895183&alt=media\",\"endedAt\":\"2017-12-13T17:53:31.000Z\",\"id\":2,\"recordingProfileId\":\"98cd31ee-dc13-4690-b0c1-5c2f0b17ad90\",\"updatedAt\":\"2017-12-13T17:53:20.000Z\",\"analytics\":[{\"talkTimeAnalysis\":{\"talkTime\":0,\"failureReason\":null,\"overTalk\":0},\"sentimentAnalysis\":{\"score\":0,\"sentences\":[],\"failureReason\":null,\"magnitude\":0,\"language\":\"en\"},\"speechToText\":{\"transcript\":null,\"keywords\":null,\"failureReason\":null,\"plainTranscription\":{\"en\":\"\"}}}]}]},\"sort\":[1513187600000]},{\"_index\":\"cdrs\",\"_type\":\"cdr\",\"_id\":\"SZWH7VCV7VDOLHAA6LH3HI23GA\",\"_score\":null,\"_source\":{\"requestUri\":\"sip:sentiment-demo-lori-EN-US@ast.voxboneworkshop.com\",\"calledNumber\":\"543415122195\",\"relatedVoxboneCallId\":\"SZWH7VCV7VDOLHAA6LH3HI23GA@81.201.82.106\",\"startTime\":\"2017-12-12T23:27:28.000Z\",\"connectTime\":\"2017-12-12T23:27:28.000Z\",\"endTime\":\"2017-12-12T23:29:30.000Z\",\"duration\":\"122\",\"callingNumber\":\"Voxboneai_webCaller\",\"recordings\":[{\"callId\":\"39019cdd-3c42-47db-9ffa-4dbb5b64f69d\",\"participantDescription\":\"caller\",\"completion\":\"normal\",\"fileName\":\"caller-SZWH7VCV7VDOLHAA6LH3HI23GA@81.201.82.106.flac\",\"recorder\":\"drachtio-recording-service\",\"format\":\"flac\",\"duration\":\"122\",\"codec\":\"PCMU\",\"createdAt\":\"2017-12-12T23:27:28.000Z\",\"channels\":1,\"downloadLink\":\"https://www.googleapis.com/download/storage/v1/b/voxbone-workshop-speech-analytics/o/caller-SZWH7VCV7VDOLHAA6LH3HI23GA@81.201.82.106.flac?generation=1513121389382529&alt=media\",\"endedAt\":\"2017-12-12T23:29:30.000Z\",\"id\":1,\"recordingProfileId\":\"98cd31ee-dc13-4690-b0c1-5c2f0b17ad90\",\"updatedAt\":\"2017-12-12T23:27:28.000Z\",\"analytics\":[{\"talkTimeAnalysis\":{\"overTalk\":0,\"talkTime\":0.07,\"failureReason\":null},\"sentimentAnalysis\":{\"score\":0,\"magnitude\":0.7,\"language\":\"en\",\"sentences\":[{\"sentiment\":{\"score\":0,\"magnitude\":0},\"text\":{\"content\":\"Norway.\",\"beginOffset\":0}},{\"sentiment\":{\"score\":0,\"magnitude\":0},\"text\":{\"content\":\"no. orange color.\",\"beginOffset\":8}},{\"sentiment\":{\"score\":-0.2,\"magnitude\":0.2},\"text\":{\"content\":\"don't like it.\",\"beginOffset\":26}},{\"sentiment\":{\"score\":0.1,\"magnitude\":0.1},\"text\":{\"content\":\"Santa.\",\"beginOffset\":41}},{\"sentiment\":{\"score\":-0.1,\"magnitude\":0.1},\"text\":{\"content\":\"yes God damn it.\",\"beginOffset\":48}},{\"sentiment\":{\"score\":0,\"magnitude\":0},\"text\":{\"content\":\"yes very much.\",\"beginOffset\":65}}],\"failureReason\":null},\"speechToText\":{\"transcript\":[[{\"endTimestamp\":41800,\"word\":\"Norway\",\"startTimestamp\":41100}],[{\"endTimestamp\":45900,\"word\":\"no\",\"startTimestamp\":45400}],[{\"endTimestamp\":54300,\"word\":\"orange\",\"startTimestamp\":53300},{\"endTimestamp\":54600,\"word\":\"color\",\"startTimestamp\":54300}],[{\"endTimestamp\":62000,\"word\":\"don't\",\"startTimestamp\":61000},{\"endTimestamp\":62200,\"word\":\"like\",\"startTimestamp\":62000},{\"endTimestamp\":62400,\"word\":\"it\",\"startTimestamp\":62200}],[{\"endTimestamp\":71700,\"word\":\"Santa\",\"startTimestamp\":71000}],[{\"endTimestamp\":80000,\"word\":\"yes\",\"startTimestamp\":79400},{\"endTimestamp\":80300,\"word\":\"God\",\"startTimestamp\":80000},{\"endTimestamp\":80600,\"word\":\"damn\",\"startTimestamp\":80300},{\"endTimestamp\":80800,\"word\":\"it\",\"startTimestamp\":80600}],[{\"endTimestamp\":90900,\"word\":\"yes\",\"startTimestamp\":90300},{\"endTimestamp\":91300,\"word\":\"very\",\"startTimestamp\":90900},{\"endTimestamp\":91600,\"word\":\"much\",\"startTimestamp\":91300}]],\"plainTranscription\":{\"en\":\"Norway. no. orange color. don't like it. Santa. yes God damn it. yes very much. \"},\"keywords\":null,\"failureReason\":null}}]},{\"callId\":\"39019cdd-3c42-47db-9ffa-4dbb5b64f69d\",\"participantDescription\":\"callee\",\"completion\":\"normal\",\"fileName\":\"callee-SZWH7VCV7VDOLHAA6LH3HI23GA@81.201.82.106.flac\",\"recorder\":\"drachtio-recording-service\",\"format\":\"flac\",\"duration\":\"122\",\"codec\":\"PCMU\",\"createdAt\":\"2017-12-12T23:27:28.000Z\",\"channels\":1,\"downloadLink\":\"https://www.googleapis.com/download/storage/v1/b/voxbone-workshop-speech-analytics/o/callee-SZWH7VCV7VDOLHAA6LH3HI23GA@81.201.82.106.flac?generation=1513121392198743&alt=media\",\"endedAt\":\"2017-12-12T23:29:30.000Z\",\"id\":2,\"recordingProfileId\":\"98cd31ee-dc13-4690-b0c1-5c2f0b17ad90\",\"updatedAt\":\"2017-12-12T23:27:28.000Z\",\"analytics\":[{\"talkTimeAnalysis\":{\"overTalk\":0,\"talkTime\":0.67,\"failureReason\":null},\"sentimentAnalysis\":{\"score\":0.1,\"magnitude\":2.2,\"language\":\"en\",\"sentences\":[{\"sentiment\":{\"score\":-0.2,\"magnitude\":0.2},\"text\":{\"content\":\"hello welcome to voxbone AI voxbone demonstration site for its latest speech recognition and artificial intelligence features this is a very basic ivr demo to help generate some speech content so that you can see how sentiment analysis could work on your calls I will ask your opinion on several items please respond anyway you like and you will see how your sentiment is measured you can press pound or hash or remain silent to move to the next question.\",\"beginOffset\":0}},{\"sentiment\":{\"score\":0.2,\"magnitude\":0.2},\"text\":{\"content\":\"hi I am voxbone AI can I get your name.\",\"beginOffset\":456}},{\"sentiment\":{\"score\":0,\"magnitude\":0},\"text\":{\"content\":\"where are you calling from.\",\"beginOffset\":496}},{\"sentiment\":{\"score\":0.1,\"magnitude\":0.1},\"text\":{\"content\":\"do you like it there.\",\"beginOffset\":524}},{\"sentiment\":{\"score\":0.1,\"magnitude\":0.1},\"text\":{\"content\":\"compared to Blue what do you think about red.\",\"beginOffset\":546}},{\"sentiment\":{\"score\":-0.1,\"magnitude\":0.1},\"text\":{\"content\":\"do you like brussel sprouts please explain why or why not.\",\"beginOffset\":592}},{\"sentiment\":{\"score\":0.5,\"magnitude\":0.5},\"text\":{\"content\":\"what is your favorite television program.\",\"beginOffset\":651}},{\"sentiment\":{\"score\":0.3,\"magnitude\":0.3},\"text\":{\"content\":\"do you mind if I put you on hold for a few minutes I have a more important customer to talk to.\",\"beginOffset\":693}},{\"sentiment\":{\"score\":0,\"magnitude\":0},\"text\":{\"content\":\"just kidding you are an important customer do you see value and using sentiment analysis on your calls.\",\"beginOffset\":789}},{\"sentiment\":{\"score\":0.3,\"magnitude\":0.3},\"text\":{\"content\":\"that is the end of this sentiment analysis demo ivr script the results will be available shortly after the call finishes please make sure to contact us at workshop at voxbone Com if you have any questions feel free to say anything else on your mind after this to continue with the transcription test thank 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welcome to voxbone AI voxbone demonstration site for its latest speech recognition and artificial intelligence features this is a very basic ivr demo to help generate some speech content so that you can see how sentiment analysis could work on your calls I will ask your opinion on several items please respond anyway you like and you will see how your sentiment is measured you can press pound or hash or remain silent to move to the next question. hi I am voxbone AI can I get your name. where are you calling from. do you like it there. compared to Blue what do you think about red. do you like brussel sprouts please explain why or why not. what is your favorite television program. do you mind if I put you on hold for a few minutes I have a more important customer to talk to. just kidding you are an important customer do you see value and using sentiment analysis on your calls. that is the end of this sentiment analysis demo ivr script the results will be available shortly after the call finishes please make sure to contact us at workshop at voxbone Com if you have any questions feel free to say anything else on your mind after this to continue with the transcription test thank you. 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welcome to voxbone AI voxbone demonstration site for its latest speech recognition and artificial intelligence features this is a very basic ivr demo help generate some speech content so that you can see how sentiment analysis could work on your calls I will ask your opinion on several items please respond anyway you like and you will see how your sentiment is measured you can press pound or hash or remain silent to move to the next question.\",\"beginOffset\":0}},{\"sentiment\":{\"score\":0.2,\"magnitude\":0.2},\"text\":{\"content\":\"hi I am voxbone AI can I get your name.\",\"beginOffset\":453}},{\"sentiment\":{\"score\":0,\"magnitude\":0},\"text\":{\"content\":\"where are you calling from.\",\"beginOffset\":493}},{\"sentiment\":{\"score\":0.1,\"magnitude\":0.1},\"text\":{\"content\":\"do you like it there.\",\"beginOffset\":521}},{\"sentiment\":{\"score\":0.1,\"magnitude\":0.1},\"text\":{\"content\":\"compared to Blue what do you think about 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welcome to voxbone AI voxbone demonstration site for its latest speech recognition and artificial intelligence features this is a very basic ivr demo help generate some speech content so that you can see how sentiment analysis could work on your calls I will ask your opinion on several items please respond anyway you like and you will see how your sentiment is measured you can press pound or hash or remain silent to move to the next question. hi I am voxbone AI can I get your name. where are you calling from. do you like it there. compared to Blue what do you think about red. do you like brussel sprouts please explain why or why not. what is your favorite television program. do you mind if I put you on hold for a few minutes. \"},\"keywords\":null,\"failureReason\":null}}]},{\"callId\":\"2fd69313-81f7-4e30-bfde-6987af876037\",\"participantDescription\":\"caller\",\"completion\":\"normal\",\"fileName\":\"caller-TDGQYIVDBJEURECI22QJW5FMLY@81.201.82.107.flac\",\"recorder\":\"drachtio-recording-service\",\"format\":\"flac\",\"duration\":\"85\",\"codec\":\"PCMU\",\"createdAt\":\"2017-12-12T11:07:22.000Z\",\"channels\":1,\"downloadLink\":\"https://www.googleapis.com/download/storage/v1/b/voxbone-workshop-speech-analytics/o/caller-TDGQYIVDBJEURECI22QJW5FMLY@81.201.82.107.flac?generation=1513076951135833&alt=media\",\"endedAt\":\"2017-12-12T11:08:47.000Z\",\"id\":2,\"recordingProfileId\":\"98cd31ee-dc13-4690-b0c1-5c2f0b17ad90\",\"updatedAt\":\"2017-12-12T11:07:22.000Z\",\"analytics\":[{\"talkTimeAnalysis\":{\"talkTime\":0.2,\"failureReason\":null,\"overTalk\":0.01},\"sentimentAnalysis\":{\"score\":0.1,\"sentences\":[{\"sentiment\":{\"score\":-0.1,\"magnitude\":0.1},\"text\":{\"content\":\"no you can't.\",\"beginOffset\":0}},{\"sentiment\":{\"score\":-0.2,\"magnitude\":0.2},\"text\":{\"content\":\"I don't want to soon.\",\"beginOffset\":14}},{\"sentiment\":{\"score\":0,\"magnitude\":0},\"text\":{\"content\":\"I only share why do you care.\",\"beginOffset\":36}},{\"sentiment\":{\"score\":0.1,\"magnitude\":0.1},\"text\":{\"content\":\"knowing you.\",\"beginOffset\":66}},{\"sentiment\":{\"score\":0.6,\"magnitude\":0.6},\"text\":{\"content\":\"red is better warmer more fun.\",\"beginOffset\":79}},{\"sentiment\":{\"score\":0.5,\"magnitude\":0.5},\"text\":{\"content\":\"me too because they are strange and delicious.\",\"beginOffset\":110}},{\"sentiment\":{\"score\":0,\"magnitude\":0},\"text\":{\"content\":\"I want to tell you.\",\"beginOffset\":157}},{\"sentiment\":{\"score\":0,\"magnitude\":0},\"text\":{\"content\":\"goodbye.\",\"beginOffset\":177}}],\"failureReason\":null,\"magnitude\":1.8,\"language\":\"en\"},\"speechToText\":{\"transcript\":[[{\"endTimestamp\":39000,\"word\":\"no\",\"startTimestamp\":37600},{\"endTimestamp\":39100,\"word\":\"you\",\"startTimestamp\":39000},{\"endTimestamp\":39600,\"word\":\"can't\",\"startTimestamp\":39100}],[{\"endTimestamp\":43600,\"word\":\"I\",\"startTimestamp\":43300},{\"endTimestamp\":43800,\"word\":\"don't\",\"startTimestamp\":43600},{\"endTimestamp\":44000,\"word\":\"want\",\"startTimestamp\":43800},{\"endTimestamp\":44100,\"word\":\"to\",\"startTimestamp\":44000},{\"endTimestamp\":44400,\"word\":\"soon\",\"startTimestamp\":44100}],[{\"endTimestamp\":46400,\"word\":\"I\",\"startTimestamp\":46100},{\"endTimestamp\":46800,\"word\":\"only\",\"startTimestamp\":46400},{\"endTimestamp\":47200,\"word\":\"share\",\"startTimestamp\":46800},{\"endTimestamp\":47600,\"word\":\"why\",\"startTimestamp\":47200},{\"endTimestamp\":47800,\"word\":\"do\",\"startTimestamp\":47600},{\"endTimestamp\":47900,\"word\":\"you\",\"startTimestamp\":47800},{\"endTimestamp\":48200,\"word\":\"care\",\"startTimestamp\":47900}],[{\"endTimestamp\":53600,\"word\":\"knowing\",\"startTimestamp\":52600},{\"endTimestamp\":53800,\"word\":\"you\",\"startTimestamp\":53600}],[{\"endTimestamp\":59800,\"word\":\"red\",\"startTimestamp\":59100},{\"endTimestamp\":60000,\"word\":\"is\",\"startTimestamp\":59800},{\"endTimestamp\":60300,\"word\":\"better\",\"startTimestamp\":60000},{\"endTimestamp\":61800,\"word\":\"warmer\",\"startTimestamp\":60300},{\"endTimestamp\":62900,\"word\":\"more\",\"startTimestamp\":61800},{\"endTimestamp\":63200,\"word\":\"fun\",\"startTimestamp\":62900}],[{\"endTimestamp\":71200,\"word\":\"me\",\"startTimestamp\":70800},{\"endTimestamp\":71500,\"word\":\"too\",\"startTimestamp\":71200},{\"endTimestamp\":72200,\"word\":\"because\",\"startTimestamp\":71500},{\"endTimestamp\":72900,\"word\":\"they\",\"startTimestamp\":72200},{\"endTimestamp\":73400,\"word\":\"are\",\"startTimestamp\":72900},{\"endTimestamp\":74300,\"word\":\"strange\",\"startTimestamp\":73400},{\"endTimestamp\":74500,\"word\":\"and\",\"startTimestamp\":74300},{\"endTimestamp\":75000,\"word\":\"delicious\",\"startTimestamp\":74500}],[{\"endTimestamp\":78500,\"word\":\"I\",\"startTimestamp\":78100},{\"endTimestamp\":78800,\"word\":\"want\",\"startTimestamp\":78500},{\"endTimestamp\":78900,\"word\":\"to\",\"startTimestamp\":78800},{\"endTimestamp\":79100,\"word\":\"tell\",\"startTimestamp\":78900},{\"endTimestamp\":79400,\"word\":\"you\",\"startTimestamp\":79100}],[{\"endTimestamp\":82300,\"word\":\"goodbye\",\"startTimestamp\":81700}]],\"keywords\":null,\"failureReason\":null,\"plainTranscription\":{\"en\":\"no you can't. I don't want to soon. I only share why do you care. knowing you. red is better warmer more fun. me too because they are strange and delicious. I want to tell you. goodbye. \"}}}]}]},\"sort\":[1513076842000]},{\"_index\":\"cdrs\",\"_type\":\"cdr\",\"_id\":\"IOVMMGD3KBFFTOYTB7TKTM3LZY\",\"_score\":null,\"_source\":{\"requestUri\":\"sip:sentiment-demo-lori-EN-US@ast.voxboneworkshop.com\",\"calledNumber\":\"14842681425\",\"relatedVoxboneCallId\":\"IOVMMGD3KBFFTOYTB7TKTM3LZY@81.201.82.107\",\"startTime\":\"2017-12-12T11:01:51.000Z\",\"connectTime\":\"2017-12-12T11:01:51.000Z\",\"endTime\":\"2017-12-12T11:04:07.000Z\",\"duration\":\"136\",\"callingNumber\":\"+3225883229\",\"recordings\":[{\"callId\":\"a40cc7f1-0f17-4a93-9758-7e51cbe29f0f\",\"participantDescription\":\"caller\",\"completion\":\"normal\",\"fileName\":\"caller-IOVMMGD3KBFFTOYTB7TKTM3LZY@81.201.82.107.flac\",\"recorder\":\"drachtio-recording-service\",\"format\":\"flac\",\"duration\":\"136\",\"codec\":\"PCMU\",\"createdAt\":\"2017-12-12T11:01:51.000Z\",\"channels\":1,\"downloadLink\":\"https://www.googleapis.com/download/storage/v1/b/voxbone-workshop-speech-analytics/o/caller-IOVMMGD3KBFFTOYTB7TKTM3LZY@81.201.82.107.flac?generation=1513076677952683&alt=media\",\"endedAt\":\"2017-12-12T11:04:07.000Z\",\"id\":1,\"recordingProfileId\":\"98cd31ee-dc13-4690-b0c1-5c2f0b17ad90\",\"updatedAt\":\"2017-12-12T11:01:51.000Z\",\"analytics\":[{\"talkTimeAnalysis\":{\"talkTime\":0.16,\"failureReason\":null,\"overTalk\":0.02},\"sentimentAnalysis\":{\"score\":0,\"sentences\":[{\"sentiment\":{\"score\":0,\"magnitude\":0},\"text\":{\"content\":\"Brussels 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this.\",\"beginOffset\":164}}],\"failureReason\":null,\"magnitude\":1.9,\"language\":\"en\"},\"speechToText\":{\"transcript\":[[{\"endTimestamp\":46600,\"word\":\"Brussels\",\"startTimestamp\":43100},{\"endTimestamp\":47000,\"word\":\"Belgium\",\"startTimestamp\":46600}],[{\"endTimestamp\":51600,\"word\":\"so\",\"startTimestamp\":51100},{\"endTimestamp\":51900,\"word\":\"far\",\"startTimestamp\":51600},{\"endTimestamp\":52100,\"word\":\"so\",\"startTimestamp\":51900},{\"endTimestamp\":52200,\"word\":\"good\",\"startTimestamp\":52100}],[{\"endTimestamp\":60800,\"word\":\"I'm\",\"startTimestamp\":59600},{\"endTimestamp\":61000,\"word\":\"not\",\"startTimestamp\":60800},{\"endTimestamp\":61500,\"word\":\"sure\",\"startTimestamp\":61000},{\"endTimestamp\":62600,\"word\":\"what\",\"startTimestamp\":61500},{\"endTimestamp\":62800,\"word\":\"is\",\"startTimestamp\":62600},{\"endTimestamp\":63100,\"word\":\"better\",\"startTimestamp\":62800}],[{\"endTimestamp\":69900,\"word\":\"of\",\"startTimestamp\":69500},{\"endTimestamp\":70300,\"word\":\"course\",\"startTimestamp\":69900},{\"endTimestamp\":70500,\"word\":\"I\",\"startTimestamp\":70300},{\"endTimestamp\":70900,\"word\":\"do\",\"startTimestamp\":70500},{\"endTimestamp\":71800,\"word\":\"because\",\"startTimestamp\":70900},{\"endTimestamp\":72300,\"word\":\"they're\",\"startTimestamp\":71800},{\"endTimestamp\":72900,\"word\":\"strange\",\"startTimestamp\":72300},{\"endTimestamp\":73400,\"word\":\"I\",\"startTimestamp\":72900},{\"endTimestamp\":73700,\"word\":\"like\",\"startTimestamp\":73400},{\"endTimestamp\":74000,\"word\":\"strange\",\"startTimestamp\":73700},{\"endTimestamp\":74800,\"word\":\"things\",\"startTimestamp\":74000}],[{\"endTimestamp\":79500,\"word\":\"stranger\",\"startTimestamp\":78800},{\"endTimestamp\":80100,\"word\":\"things\",\"startTimestamp\":79500}],[{\"endTimestamp\":96500,\"word\":\"III\",\"startTimestamp\":95600},{\"endTimestamp\":96900,\"word\":\"mind\",\"startTimestamp\":96500},{\"endTimestamp\":97800,\"word\":\"okay\",\"startTimestamp\":96900}],[{\"endTimestamp\":104400,\"word\":\"Maybe\",\"startTimestamp\":103700}],[{\"endTimestamp\":129000,\"word\":\"okay\",\"startTimestamp\":128500},{\"endTimestamp\":129400,\"word\":\"thank\",\"startTimestamp\":129000},{\"endTimestamp\":129600,\"word\":\"you\",\"startTimestamp\":129400},{\"endTimestamp\":130300.00000000001,\"word\":\"let's\",\"startTimestamp\":129600},{\"endTimestamp\":130500,\"word\":\"see\",\"startTimestamp\":130300.00000000001},{\"endTimestamp\":130800.00000000001,\"word\":\"if\",\"startTimestamp\":130500},{\"endTimestamp\":130900,\"word\":\"I\",\"startTimestamp\":130800.00000000001},{\"endTimestamp\":131300,\"word\":\"can\",\"startTimestamp\":130900},{\"endTimestamp\":132000,\"word\":\"say\",\"startTimestamp\":131300},{\"endTimestamp\":132200,\"word\":\"this\",\"startTimestamp\":132000}]],\"keywords\":null,\"failureReason\":null,\"plainTranscription\":{\"en\":\"Brussels Belgium. so far so good. I'm not sure what is better. of course I do because they're strange I like strange things. stranger things. III mind okay. Maybe. okay thank you let's see if I can say this. \"}}}]},{\"callId\":\"a40cc7f1-0f17-4a93-9758-7e51cbe29f0f\",\"participantDescription\":\"callee\",\"completion\":\"normal\",\"fileName\":\"callee-IOVMMGD3KBFFTOYTB7TKTM3LZY@81.201.82.107.flac\",\"recorder\":\"drachtio-recording-service\",\"format\":\"flac\",\"duration\":\"136\",\"codec\":\"PCMU\",\"createdAt\":\"2017-12-12T11:01:51.000Z\",\"channels\":1,\"downloadLink\":\"https://www.googleapis.com/download/storage/v1/b/voxbone-workshop-speech-analytics/o/callee-IOVMMGD3KBFFTOYTB7TKTM3LZY@81.201.82.107.flac?generation=1513076681284170&alt=media\",\"endedAt\":\"2017-12-12T11:04:07.000Z\",\"id\":2,\"recordingProfileId\":\"98cd31ee-dc13-4690-b0c1-5c2f0b17ad90\",\"updatedAt\":\"2017-12-12T11:01:51.000Z\",\"analytics\":[{\"talkTimeAnalysis\":{\"talkTime\":0.57,\"failureReason\":null,\"overTalk\":0},\"sentimentAnalysis\":{\"score\":0.1,\"sentences\":[{\"sentiment\":{\"score\":-0.2,\"magnitude\":0.2},\"text\":{\"content\":\"hello welcome to voxbone AI voxbone demonstration site for its latest speech recognition and artificial intelligence features this is a very basic ivr demo to help generate some speech content so that you can see how sentiment analysis could work on your calls I will ask your opinion on several items please respond anyway you like and you will see how your sentiment is measured you can press pound or hash or remain silent to move to the next question.\",\"beginOffset\":0}},{\"sentiment\":{\"score\":0.2,\"magnitude\":0.2},\"text\":{\"content\":\"hi I am voxbone AI can I get your name.\",\"beginOffset\":456}},{\"sentiment\":{\"score\":0,\"magnitude\":0},\"text\":{\"content\":\"where are you calling from.\",\"beginOffset\":496}},{\"sentiment\":{\"score\":0.1,\"magnitude\":0.1},\"text\":{\"content\":\"do you like it there.\",\"beginOffset\":524}},{\"sentiment\":{\"score\":0.1,\"magnitude\":0.1},\"text\":{\"content\":\"compared to Blue what do you think about 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free to say anything else on your mind after this to continue with the transcription test thank 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welcome to voxbone AI voxbone demonstration site for its latest speech recognition and artificial intelligence features this is a very basic ivr demo to help generate some speech content so that you can see how sentiment analysis could work on your calls I will ask your opinion on several items please respond anyway you like and you will see how your sentiment is measured you can press pound or hash or remain silent to move to the next question. hi I am voxbone AI can I get your name. where are you calling from. do you like it there. compared to Blue what do you think about red. do you like brussel sprouts please explain why or why not. what is your favorite television program. do you mind if I put you on hold for a few minutes I have a more important customer to talk to. just kidding you are an important customer do you see value and using sentiment analysis on your calls. that is the end of this sentiment analysis demo ivr script the results will be available shortly after the call finishes please make sure to contact us at workshop at voxbone Com if you have any questions feel free to say anything else on your mind after this to continue with the transcription test thank you. 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welcome to voxbone AI voxbone demonstration site for its latest speech recognition and artificial intelligence features this is a very basic ivr demo to help generate some speech content so that you can see how sentiment analysis could work on your calls I will ask your opinion on several items please respond anyway you like and you will see how your sentiment is measured you can press pound or hash or remain silent to move to the next question. hi I am voxbone AI can I get your name. where are you calling from. do you like it there. compared to Blue what do you think about red. do you like brussel sprouts please explain why or why not. what is your favorite television program. do you mind if I put you on hold for a few minutes I have a more important customer to talk to. just kidding you are an important customer do you see value and using sentiment analysis on your calls. that is the end of this sentiment analysis demo ivr script the results will be available shortly after the call finishes please make sure to contact us at work shop at bucks bonecom if you have any questions feel free to say anything else on your mind after this to continue with the transcription test thank you. 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welcome to voxbone AI voxbone demonstration site for its latest speech recognition and artificial intelligence features this is a very basic ivr demo to help generate some speech content so that you can see how sentiment analysis could work on your calls I will ask your opinion on several items please respond anyway you like and you will see how your sentiment is measured you can press pound or hash or remain silent to move to the next question. hi I am voxbone AI can I get your name. where are you calling from. do you like it there. compared to Blue what do you think about red. do you like brussel sprouts please explain why or why not. what is your favorite television program. do you mind if I put you on hold for a few minutes I have a more important customer to talk to. just kidding you are an important customer do you see value and using sentiment analysis on your calls. that is the end of this sentiment analysis demo ivr script the results will be available shortly after the call finishes please make sure to contact us at workshop at voxbone Com if you have any questions feel free to say anything else on your mind after this to continue with the transcription test thank you. 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welcome to voxbone AI voxbone demonstration site for its latest speech recognition and artificial intelligence features this is a very basic ivr demo help generate some speech content so that you can see how sentiment analysis could work on your calls I will ask your opinion on several items please respond anyway you like and you will see how your sentiment is measured you can press pound or hash or remain silent to move to the next question.\",\"beginOffset\":0}},{\"sentiment\":{\"score\":0.2,\"magnitude\":0.2},\"text\":{\"content\":\"hi I am voxbone AI can I get your name.\",\"beginOffset\":453}},{\"sentiment\":{\"score\":0,\"magnitude\":0},\"text\":{\"content\":\"where are you calling from.\",\"beginOffset\":493}},{\"sentiment\":{\"score\":0.1,\"magnitude\":0.1},\"text\":{\"content\":\"do you like it there.\",\"beginOffset\":521}},{\"sentiment\":{\"score\":0.1,\"magnitude\":0.1},\"text\":{\"content\":\"compared to Blue what do you think about 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welcome to voxbone AI voxbone demonstration site for its latest speech recognition and artificial intelligence features this is a very basic ivr demo help generate some speech content so that you can see how sentiment analysis could work on your calls I will ask your opinion on several items please respond anyway you like and you will see how your sentiment is measured you can press pound or hash or remain silent to move to the next question. hi I am voxbone AI can I get your name. where are you calling from. do you like it there. compared to Blue what do you think about red. do you like brussel sprouts please explain why or why not. what is your favorite television program. do you mind if I put you on hold for a few minutes. \"},\"keywords\":null,\"failureReason\":null}}]},{\"callId\":\"2fd69313-81f7-4e30-bfde-6987af876037\",\"participantDescription\":\"caller\",\"completion\":\"normal\",\"fileName\":\"caller-TDGQYIVDBJEURECI22QJW5FMLY@81.201.82.107.flac\",\"recorder\":\"drachtio-recording-service\",\"format\":\"flac\",\"duration\":\"85\",\"codec\":\"PCMU\",\"createdAt\":\"2017-12-12T11:07:22.000Z\",\"channels\":1,\"downloadLink\":\"https://www.googleapis.com/download/storage/v1/b/voxbone-workshop-speech-analytics/o/caller-TDGQYIVDBJEURECI22QJW5FMLY@81.201.82.107.flac?generation=1513076951135833&alt=media\",\"endedAt\":\"2017-12-12T11:08:47.000Z\",\"id\":2,\"recordingProfileId\":\"98cd31ee-dc13-4690-b0c1-5c2f0b17ad90\",\"updatedAt\":\"2017-12-12T11:07:22.000Z\",\"analytics\":[{\"talkTimeAnalysis\":{\"talkTime\":0.2,\"failureReason\":null,\"overTalk\":0.01},\"sentimentAnalysis\":{\"score\":0.1,\"sentences\":[{\"sentiment\":{\"score\":-0.1,\"magnitude\":0.1},\"text\":{\"content\":\"no you can't.\",\"beginOffset\":0}},{\"sentiment\":{\"score\":-0.2,\"magnitude\":0.2},\"text\":{\"content\":\"I don't want to soon.\",\"beginOffset\":14}},{\"sentiment\":{\"score\":0,\"magnitude\":0},\"text\":{\"content\":\"I only share why do you care.\",\"beginOffset\":36}},{\"sentiment\":{\"score\":0.1,\"magnitude\":0.1},\"text\":{\"content\":\"knowing you.\",\"beginOffset\":66}},{\"sentiment\":{\"score\":0.6,\"magnitude\":0.6},\"text\":{\"content\":\"red is better warmer more fun.\",\"beginOffset\":79}},{\"sentiment\":{\"score\":0.5,\"magnitude\":0.5},\"text\":{\"content\":\"me too because they are strange and delicious.\",\"beginOffset\":110}},{\"sentiment\":{\"score\":0,\"magnitude\":0},\"text\":{\"content\":\"I want to tell you.\",\"beginOffset\":157}},{\"sentiment\":{\"score\":0,\"magnitude\":0},\"text\":{\"content\":\"goodbye.\",\"beginOffset\":177}}],\"failureReason\":null,\"magnitude\":1.8,\"language\":\"en\"},\"speechToText\":{\"transcript\":[[{\"endTimestamp\":39000,\"word\":\"no\",\"startTimestamp\":37600},{\"endTimestamp\":39100,\"word\":\"you\",\"startTimestamp\":39000},{\"endTimestamp\":39600,\"word\":\"can't\",\"startTimestamp\":39100}],[{\"endTimestamp\":43600,\"word\":\"I\",\"startTimestamp\":43300},{\"endTimestamp\":43800,\"word\":\"don't\",\"startTimestamp\":43600},{\"endTimestamp\":44000,\"word\":\"want\",\"startTimestamp\":43800},{\"endTimestamp\":44100,\"word\":\"to\",\"startTimestamp\":44000},{\"endTimestamp\":44400,\"word\":\"soon\",\"startTimestamp\":44100}],[{\"endTimestamp\":46400,\"word\":\"I\",\"startTimestamp\":46100},{\"endTimestamp\":46800,\"word\":\"only\",\"startTimestamp\":46400},{\"endTimestamp\":47200,\"word\":\"share\",\"startTimestamp\":46800},{\"endTimestamp\":47600,\"word\":\"why\",\"startTimestamp\":47200},{\"endTimestamp\":47800,\"word\":\"do\",\"startTimestamp\":47600},{\"endTimestamp\":47900,\"word\":\"you\",\"startTimestamp\":47800},{\"endTimestamp\":48200,\"word\":\"care\",\"startTimestamp\":47900}],[{\"endTimestamp\":53600,\"word\":\"knowing\",\"startTimestamp\":52600},{\"endTimestamp\":53800,\"word\":\"you\",\"startTimestamp\":53600}],[{\"endTimestamp\":59800,\"word\":\"red\",\"startTimestamp\":59100},{\"endTimestamp\":60000,\"word\":\"is\",\"startTimestamp\":59800},{\"endTimestamp\":60300,\"word\":\"better\",\"startTimestamp\":60000},{\"endTimestamp\":61800,\"word\":\"warmer\",\"startTimestamp\":60300},{\"endTimestamp\":62900,\"word\":\"more\",\"startTimestamp\":61800},{\"endTimestamp\":63200,\"word\":\"fun\",\"startTimestamp\":62900}],[{\"endTimestamp\":71200,\"word\":\"me\",\"startTimestamp\":70800},{\"endTimestamp\":71500,\"word\":\"too\",\"startTimestamp\":71200},{\"endTimestamp\":72200,\"word\":\"because\",\"startTimestamp\":71500},{\"endTimestamp\":72900,\"word\":\"they\",\"startTimestamp\":72200},{\"endTimestamp\":73400,\"word\":\"are\",\"startTimestamp\":72900},{\"endTimestamp\":74300,\"word\":\"strange\",\"startTimestamp\":73400},{\"endTimestamp\":74500,\"word\":\"and\",\"startTimestamp\":74300},{\"endTimestamp\":75000,\"word\":\"delicious\",\"startTimestamp\":74500}],[{\"endTimestamp\":78500,\"word\":\"I\",\"startTimestamp\":78100},{\"endTimestamp\":78800,\"word\":\"want\",\"startTimestamp\":78500},{\"endTimestamp\":78900,\"word\":\"to\",\"startTimestamp\":78800},{\"endTimestamp\":79100,\"word\":\"tell\",\"startTimestamp\":78900},{\"endTimestamp\":79400,\"word\":\"you\",\"startTimestamp\":79100}],[{\"endTimestamp\":82300,\"word\":\"goodbye\",\"startTimestamp\":81700}]],\"keywords\":null,\"failureReason\":null,\"plainTranscription\":{\"en\":\"no you can't. I don't want to soon. I only share why do you care. knowing you. red is better warmer more fun. me too because they are strange and delicious. I want to tell you. goodbye. \"}}}]}]},\"sort\":[1513076842000]},{\"_index\":\"cdrs\",\"_type\":\"cdr\",\"_id\":\"IOVMMGD3KBFFTOYTB7TKTM3LZY\",\"_score\":null,\"_source\":{\"requestUri\":\"sip:sentiment-demo-lori-EN-US@ast.voxboneworkshop.com\",\"calledNumber\":\"14842681425\",\"relatedVoxboneCallId\":\"IOVMMGD3KBFFTOYTB7TKTM3LZY@81.201.82.107\",\"startTime\":\"2017-12-12T11:01:51.000Z\",\"connectTime\":\"2017-12-12T11:01:51.000Z\",\"endTime\":\"2017-12-12T11:04:07.000Z\",\"duration\":\"136\",\"callingNumber\":\"+3225883229\",\"recordings\":[{\"callId\":\"a40cc7f1-0f17-4a93-9758-7e51cbe29f0f\",\"participantDescription\":\"caller\",\"completion\":\"normal\",\"fileName\":\"caller-IOVMMGD3KBFFTOYTB7TKTM3LZY@81.201.82.107.flac\",\"recorder\":\"drachtio-recording-service\",\"format\":\"flac\",\"duration\":\"136\",\"codec\":\"PCMU\",\"createdAt\":\"2017-12-12T11:01:51.000Z\",\"channels\":1,\"downloadLink\":\"https://www.googleapis.com/download/storage/v1/b/voxbone-workshop-speech-analytics/o/caller-IOVMMGD3KBFFTOYTB7TKTM3LZY@81.201.82.107.flac?generation=1513076677952683&alt=media\",\"endedAt\":\"2017-12-12T11:04:07.000Z\",\"id\":1,\"recordingProfileId\":\"98cd31ee-dc13-4690-b0c1-5c2f0b17ad90\",\"updatedAt\":\"2017-12-12T11:01:51.000Z\",\"analytics\":[{\"talkTimeAnalysis\":{\"talkTime\":0.16,\"failureReason\":null,\"overTalk\":0.02},\"sentimentAnalysis\":{\"score\":0,\"sentences\":[{\"sentiment\":{\"score\":0,\"magnitude\":0},\"text\":{\"content\":\"Brussels 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this.\",\"beginOffset\":164}}],\"failureReason\":null,\"magnitude\":1.9,\"language\":\"en\"},\"speechToText\":{\"transcript\":[[{\"endTimestamp\":46600,\"word\":\"Brussels\",\"startTimestamp\":43100},{\"endTimestamp\":47000,\"word\":\"Belgium\",\"startTimestamp\":46600}],[{\"endTimestamp\":51600,\"word\":\"so\",\"startTimestamp\":51100},{\"endTimestamp\":51900,\"word\":\"far\",\"startTimestamp\":51600},{\"endTimestamp\":52100,\"word\":\"so\",\"startTimestamp\":51900},{\"endTimestamp\":52200,\"word\":\"good\",\"startTimestamp\":52100}],[{\"endTimestamp\":60800,\"word\":\"I'm\",\"startTimestamp\":59600},{\"endTimestamp\":61000,\"word\":\"not\",\"startTimestamp\":60800},{\"endTimestamp\":61500,\"word\":\"sure\",\"startTimestamp\":61000},{\"endTimestamp\":62600,\"word\":\"what\",\"startTimestamp\":61500},{\"endTimestamp\":62800,\"word\":\"is\",\"startTimestamp\":62600},{\"endTimestamp\":63100,\"word\":\"better\",\"startTimestamp\":62800}],[{\"endTimestamp\":69900,\"word\":\"of\",\"startTimestamp\":69500},{\"endTimestamp\":70300,\"word\":\"course\",\"startTimestamp\":69900},{\"endTimestamp\":70500,\"word\":\"I\",\"startTimestamp\":70300},{\"endTimestamp\":70900,\"word\":\"do\",\"startTimestamp\":70500},{\"endTimestamp\":71800,\"word\":\"because\",\"startTimestamp\":70900},{\"endTimestamp\":72300,\"word\":\"they're\",\"startTimestamp\":71800},{\"endTimestamp\":72900,\"word\":\"strange\",\"startTimestamp\":72300},{\"endTimestamp\":73400,\"word\":\"I\",\"startTimestamp\":72900},{\"endTimestamp\":73700,\"word\":\"like\",\"startTimestamp\":73400},{\"endTimestamp\":74000,\"word\":\"strange\",\"startTimestamp\":73700},{\"endTimestamp\":74800,\"word\":\"things\",\"startTimestamp\":74000}],[{\"endTimestamp\":79500,\"word\":\"stranger\",\"startTimestamp\":78800},{\"endTimestamp\":80100,\"word\":\"things\",\"startTimestamp\":79500}],[{\"endTimestamp\":96500,\"word\":\"III\",\"startTimestamp\":95600},{\"endTimestamp\":96900,\"word\":\"mind\",\"startTimestamp\":96500},{\"endTimestamp\":97800,\"word\":\"okay\",\"startTimestamp\":96900}],[{\"endTimestamp\":104400,\"word\":\"Maybe\",\"startTimestamp\":103700}],[{\"endTimestamp\":129000,\"word\":\"okay\",\"startTimestamp\":128500},{\"endTimestamp\":129400,\"word\":\"thank\",\"startTimestamp\":129000},{\"endTimestamp\":129600,\"word\":\"you\",\"startTimestamp\":129400},{\"endTimestamp\":130300.00000000001,\"word\":\"let's\",\"startTimestamp\":129600},{\"endTimestamp\":130500,\"word\":\"see\",\"startTimestamp\":130300.00000000001},{\"endTimestamp\":130800.00000000001,\"word\":\"if\",\"startTimestamp\":130500},{\"endTimestamp\":130900,\"word\":\"I\",\"startTimestamp\":130800.00000000001},{\"endTimestamp\":131300,\"word\":\"can\",\"startTimestamp\":130900},{\"endTimestamp\":132000,\"word\":\"say\",\"startTimestamp\":131300},{\"endTimestamp\":132200,\"word\":\"this\",\"startTimestamp\":132000}]],\"keywords\":null,\"failureReason\":null,\"plainTranscription\":{\"en\":\"Brussels Belgium. so far so good. I'm not sure what is better. of course I do because they're strange I like strange things. stranger things. III mind okay. Maybe. okay thank you let's see if I can say this. \"}}}]},{\"callId\":\"a40cc7f1-0f17-4a93-9758-7e51cbe29f0f\",\"participantDescription\":\"callee\",\"completion\":\"normal\",\"fileName\":\"callee-IOVMMGD3KBFFTOYTB7TKTM3LZY@81.201.82.107.flac\",\"recorder\":\"drachtio-recording-service\",\"format\":\"flac\",\"duration\":\"136\",\"codec\":\"PCMU\",\"createdAt\":\"2017-12-12T11:01:51.000Z\",\"channels\":1,\"downloadLink\":\"https://www.googleapis.com/download/storage/v1/b/voxbone-workshop-speech-analytics/o/callee-IOVMMGD3KBFFTOYTB7TKTM3LZY@81.201.82.107.flac?generation=1513076681284170&alt=media\",\"endedAt\":\"2017-12-12T11:04:07.000Z\",\"id\":2,\"recordingProfileId\":\"98cd31ee-dc13-4690-b0c1-5c2f0b17ad90\",\"updatedAt\":\"2017-12-12T11:01:51.000Z\",\"analytics\":[{\"talkTimeAnalysis\":{\"talkTime\":0.57,\"failureReason\":null,\"overTalk\":0},\"sentimentAnalysis\":{\"score\":0.1,\"sentences\":[{\"sentiment\":{\"score\":-0.2,\"magnitude\":0.2},\"text\":{\"content\":\"hello welcome to voxbone AI voxbone demonstration site for its latest speech recognition and artificial intelligence features this is a very basic ivr demo to help generate some speech content so that you can see how sentiment analysis could work on your calls I will ask your opinion on several items please respond anyway you like and you will see how your sentiment is measured you can press pound or hash or remain silent to move to the next question.\",\"beginOffset\":0}},{\"sentiment\":{\"score\":0.2,\"magnitude\":0.2},\"text\":{\"content\":\"hi I am voxbone AI can I get your name.\",\"beginOffset\":456}},{\"sentiment\":{\"score\":0,\"magnitude\":0},\"text\":{\"content\":\"where are you calling from.\",\"beginOffset\":496}},{\"sentiment\":{\"score\":0.1,\"magnitude\":0.1},\"text\":{\"content\":\"do you like it there.\",\"beginOffset\":524}},{\"sentiment\":{\"score\":0.1,\"magnitude\":0.1},\"text\":{\"content\":\"compared to Blue what do you think about 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free to say anything else on your mind after this to continue with the transcription test thank 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welcome to voxbone AI voxbone demonstration site for its latest speech recognition and artificial intelligence features this is a very basic ivr demo to help generate some speech content so that you can see how sentiment analysis could work on your calls I will ask your opinion on several items please respond anyway you like and you will see how your sentiment is measured you can press pound or hash or remain silent to move to the next question. hi I am voxbone AI can I get your name. where are you calling from. do you like it there. compared to Blue what do you think about red. do you like brussel sprouts please explain why or why not. what is your favorite television program. do you mind if I put you on hold for a few minutes I have a more important customer to talk to. just kidding you are an important customer do you see value and using sentiment analysis on your calls. that is the end of this sentiment analysis demo ivr script the results will be available shortly after the call finishes please make sure to contact us at workshop at voxbone Com if you have any questions feel free to say anything else on your mind after this to continue with the transcription test thank you. 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welcome to voxbone AI voxbone demonstration site for its latest speech recognition and artificial intelligence features this is a very basic ivr demo to help generate some speech content so that you can see how sentiment analysis could work on your calls I will ask your opinion on several items please respond anyway you like and you will see how your sentiment is measured you can press pound or hash or remain silent to move to the next question. hi I am voxbone AI can I get your name. where are you calling from. do you like it there. compared to Blue what do you think about red. do you like brussel sprouts please explain why or why not. what is your favorite television program. do you mind if I put you on hold for a few minutes I have a more important customer to talk to. just kidding you are an important customer do you see value and using sentiment analysis on your calls. that is the end of this sentiment analysis demo ivr script the results will be available shortly after the call finishes please make sure to contact us at work shop at bucks bonecom if you have any questions feel free to say anything else on your mind after this to continue with the transcription test thank you. 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