nova-2

This documentation is valid for the following list of our models:

• #g1_nova-2-automotive

• #g1_nova-2-conversationalai

• #g1_nova-2-drivethru

• #g1_nova-2-finance

• #g1_nova-2-general

• #g1_nova-2-medical

• #g1_nova-2-meeting

• #g1_nova-2-phonecall

• #g1_nova-2-video

• #g1_nova-2-voicemail

Model Overview

"Nova-2 builds on the advancements of Nova-1 with speech-specific optimizations to its Transformer architecture, refined data curation techniques, and a multi-stage training approach. These improvements result in a lower word error rate (WER) and better entity recognition (including proper nouns and alphanumeric sequences), as well as enhanced punctuation and capitalization.

Nova-2 offers the following model options:

• automotive: Optimized for audio with automotive oriented vocabulary.

• conversationalai: Optimized for use cases in which a human is talking to an automated bot, such as IVR, a voice assistant, or an automated kiosk.

• drivethru: Optimized for audio sources from drivethrus.

• finance: Optimized for multiple speakers with varying audio quality, such as might be found on a typical earnings call. Vocabulary is heavily finance oriented.

• general: Optimized for everyday audio processing.

• medical: Optimized for audio with medical oriented vocabulary.

• meeting: Optimized for conference room settings, which include multiple speakers with a single microphone.

• phonecall: Optimized for low-bandwidth audio phone calls.

• video: Optimized for audio sourced from videos.

• voicemail: Optimized for low-bandwidth audio clips with a single speaker. Derived from the phonecall model."

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API Schema

post

/v1/stt/create

Authorizations

Body

detect_languageboolean

detect_entitiesboolean

detect_topicsboolean

diarizeboolean

dictationboolean

diarize_versionstring

extrastring

filler_wordsboolean

intentsboolean

keywordsstring

languagestring

measurementsboolean

multi_channelboolean

numeralsboolean

paragraphsboolean

profanity_filterboolean

punctuateboolean

searchstring

sentimentboolean

smart_formatboolean

summarizestring

topicsboolean

utterancesboolean

utt_splitnumber

modelundefined · enumrequired

Options: #g1_nova-2-automotive, #g1_nova-2-conversationalai, #g1_nova-2-drivethru, #g1_nova-2-finance, #g1_nova-2-general, #g1_nova-2-medical, #g1_nova-2-meeting, #g1_nova-2-phonecall, #g1_nova-2-video, #g1_nova-2-voicemail

custom_intent_modestring · enum

Options: strict, extended

custom_topic_modestring · enum

Options: strict, extended

tagstring[]

custom_intentany of

custom_topicany of

Responses

application/json

cURL

JavaScript

Python

HTTP

cURL

curl -L \
  --request POST \
  --url 'https://api.aimlapi.com/v1/stt/create' \
  --header 'Authorization: Bearer JWT' \
  --header 'Content-Type: application/json' \
  --data '{
    "detect_language": true,
    "detect_entities": true,
    "detect_topics": true,
    "diarize": true,
    "dictation": true,
    "diarize_version": "text",
    "extra": "text",
    "filler_words": true,
    "intents": true,
    "keywords": "text",
    "language": "text",
    "measurements": true,
    "multi_channel": true,
    "numerals": true,
    "paragraphs": true,
    "profanity_filter": true,
    "punctuate": true,
    "search": "text",
    "sentiment": true,
    "smart_format": true,
    "summarize": "text",
    "topics": true,
    "utterances": true,
    "utt_split": 1,
    "model": "#g1_nova-2-automotive",
    "custom_intent_mode": "strict",
    "custom_topic_mode": "strict",
    "tag": [
      "text"
    ],
    "custom_intent": "text",
    "custom_topic": "text"
  }'

201

201

{
  "generation_id": "123e4567-e89b-12d3-a456-426614174000"
}