Deepgram | Voximplant Voice AI

List of Deepgram ASR models. Can be passed via the ASRParameters.model parameter. Add the following line to your scenario code to use the enum:

require(Modules.ASR);

Constants

Name	Type	Description
`DEFAULT`	`ASRModel`	The default General model.
`general`	`ASRModel`	Optimized for everyday audio processing.
`general_enhanced`	`ASRModel`	Optimized for everyday audio processing. Applies the newest ASR module with higher accuracy.
`meeting`	`ASRModel`	Optimized for conference room settings, which include multiple speakers with a single microphone.
`meeting_enhanced`	`ASRModel`	Optimized for conference room settings, which include multiple speakers with a single microphone. Applies the newest ASR module with higher accuracy.
`phonecall`	`ASRModel`	Optimized for low-bandwidth audio phone calls.
`phonecall_enhanced`	`ASRModel`	Optimized for low-bandwidth audio phone calls. Applies the newest ASR module with higher accuracy.
`voicemail`	`ASRModel`	Optimized for low-bandwidth audio clips with a single speaker. Derived from the phonecall model.
`finance`	`ASRModel`	Optimized for multiple speakers with varying audio quality, such as might be found on a typical earnings call. Vocabulary is heavily finance oriented.
`finance_enhanced`	`ASRModel`	Optimized for multiple speakers with varying audio quality, such as might be found on a typical earnings call. Vocabulary is heavily finance oriented. Applies the newest ASR module with higher accuracy.
`conversational`	`ASRModel`	Optimized to allow artificial intelligence technologies, such as chatbots, to interact with people in a human-like way.
`video`	`ASRModel`	Optimized for audio sourced from videos.
`nova_general`	`ASRModel`	Optimized for everyday audio processing.
`nova_phonecall`	`ASRModel`	Optimized for low-bandwidth audio phone calls.
`nova2_general`	`ASRModel`	Optimized for everyday audio processing.
`nova2_meeting`	`ASRModel`	Optimized for conference room settings, which include multiple speakers with a single microphone.
`nova2_phonecall`	`ASRModel`	Optimized for low-bandwidth audio phone calls.
`nova2_voicemail`	`ASRModel`	Optimized for low-bandwidth audio clips with a single speaker. Derived from the phonecall model.
`nova2_finance`	`ASRModel`	Optimized for multiple speakers with varying audio quality, such as might be found on a typical earnings call. Vocabulary is heavily finance oriented.
`nova2_conversationalai`	`ASRModel`	Optimized for use cases in which a human is talking to an automated bot, such as IVR, a voice assistant, or an automated kiosk.
`nova2_video`	`ASRModel`	Optimized for audio sourced from videos.
`nova2_medical`	`ASRModel`	Optimized for audio with medical oriented vocabulary.
`nova2_drivethru`	`ASRModel`	Optimized for audio sources from drivethrus.
`nova2_automotive`	`ASRModel`	Optimized for audio with automative oriented vocabulary.
`nova2_atc`	`ASRModel`	Optimized for audio from air traffic control.
`nova3_general`	`ASRModel`	Optimized for everyday audio processing.
`nova3_medical`	`ASRModel`	Optimized for audio with medical oriented vocabulary.