|  | 
| string | contentUri  [get, set] | 
|  | Publicly facing uri Format: uri  More... 
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|  | 
| string | encoding  [get, set] | 
|  | The encoding of the original audio Required Example: Wav Enum: Mpeg, Mp4, Wav, Webm, Webp, Aac, Avi, Ogg  More... 
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|  | 
| string | languageCode  [get, set] | 
|  | Language spoken in the audio file. Required Example: en-US  More... 
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|  | 
| string | source  [get, set] | 
|  | Source of the audio file eg: Phone, RingCentral, GoogleMeet, Zoom etc Example: RingCentral  More... 
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|  | 
| string | audioType  [get, set] | 
|  | Type of the audio Example: CallCenter Enum: CallCenter, Meeting, EarningsCalls, Interview, PressConference, Voicemail  More... 
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|  | 
| bool? | separateSpeakerPerChannel  [get, set] | 
|  | Set to True if the input audio is multi-channel and each channel has a separate speaker.  More... 
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|  | 
| long? | speakerCount  [get, set] | 
|  | Number of speakers in the file, omit parameter if unknown Format: int32 Example: 2  More... 
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|  | 
| string[] | speakerIds  [get, set] | 
|  | Optional set of speakers to be identified from the call. Example: speakerId1,speakerId2  More... 
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|  | 
| bool? | enableVoiceActivityDetection  [get, set] | 
|  | Apply voice activity detection.  More... 
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|  | 
| string[] | insights  [get, set] | 
|  | Enum: All, KeyPhrases, Emotion, AbstractiveSummaryLong, AbstractiveSummaryShort, ExtractiveSummary, Topics, TalkToListenRatio, Energy, Pace, QuestionsAsked  More... 
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|  | 
| SpeechContextPhrasesInput[] | speechContexts  [get, set] | 
|  | Indicates the words/phrases that will be used for boosting the transcript. This can help to boost accuracy for cases like Person Names, Company names etc.  More... 
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|  | 
  
  | 
        
          | string RingCentral.InteractionInput.encoding |  | getset | 
 
The encoding of the original audio Required Example: Wav Enum: Mpeg, Mp4, Wav, Webm, Webp, Aac, Avi, Ogg 
 
 
  
  | 
        
          | string [] RingCentral.InteractionInput.insights |  | getset | 
 
Enum: All, KeyPhrases, Emotion, AbstractiveSummaryLong, AbstractiveSummaryShort, ExtractiveSummary, Topics, TalkToListenRatio, Energy, Pace, QuestionsAsked