awesome-genmedia Whisper Diarization
Transcribe audio files with speaker diarization, identifying and labeling different speakers in the audio. Supports speaker grouping, translation, and vocabulary prompts for improved accuracy.
Quick Start
Requires an each::labs API key. Get one at eachlabs.ai.
curl -X POST https://api.eachlabs.ai/v1/prediction \
-H "Content-Type: application/json" \
-H "X-API-Key: $EACHLABS_API_KEY" \
-d '{
"model": "whisper-diarization",
"version": "0.0.1",
"input": {
"file_url": "https://example.com/interview.mp3",
"num_speakers": 2,
"language": "en",
"group_segments": true
}
}'
Parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
| file | string | - | An audio file (direct upload). |
| file_string | string | - | Base64 encoded audio file. |
| file_url | string | - | A direct audio file URL. |
| group_segments | boolean | true | Group segments of same speaker shorter apart than 2 seconds. |
| language | string | en | Language of the spoken words as a language code. Leave empty to auto detect. |
| num_speakers | integer | 2 | Number of speakers. Leave empty to autodetect. |
| prompt | string | - | Vocabulary: provide names, acronyms and loanwords in a list. Use punctuation for clarity. |
| translate | boolean | false | Translate the speech into English. |
Examples
Basic diarization:
curl -X POST https://api.eachlabs.ai/v1/prediction \
-H "Content-Type: application/json" \
-H "X-API-Key: $EACHLABS_API_KEY" \
-d '{
"model": "whisper-diarization",
"version": "0.0.1",
"input": {
"file_url": "https://example.com/podcast-episode.mp3"
}
}'
Multi-speaker meeting with vocabulary hints:
curl -X POST https://api.eachlabs.ai/v1/prediction \
-H "Content-Type: application/json" \
-H "X-API-Key: $EACHLABS_API_KEY" \
-d '{
"model": "whisper-diarization",
"version": "0.0.1",
"input": {
"file_url": "https://example.com/board-meeting.mp3",
"num_speakers": 5,
"language": "en",
"prompt": "Acme Corp, Q4 earnings, EBITDA, revenue forecast",
"group_segments": true
}
}'
Foreign language with translation:
curl -X POST https://api.eachlabs.ai/v1/prediction \
-H "Content-Type: application/json" \
-H "X-API-Key: $EACHLABS_API_KEY" \
-d '{
"model": "whisper-diarization",
"version": "0.0.1",
"input": {
"file_url": "https://example.com/spanish-debate.mp3",
"language": "es",
"num_speakers": 3,
"translate": true
}
}'
Related Models
- Whisper - Standard transcription without diarization
- Wizper with Timestamp - Transcription with timestamps