awerks/whisperx 📝✓🔊🖼️🔢 → 📝

▶️ 14.7K runs 📅 Sep 2023 ⚙️ Cog 0.8.6 🔗 GitHub 📄 Paper ⚖️ License
speaker-diarization speech-to-text word-level-timestamps

About

Fast automatic speech recognition (70x realtime with large-v2) with word-level timestamps and speaker diarization.

Example Output

Output

{
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{
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"end": 2.63,
"text": " It's always interesting you look sometimes at catcher E.R.A.",
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{
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},
{
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{
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"speaker": "SPEAKER_00"
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{
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"speaker": "SPEAKER_00"
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],
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},
{
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"text": "right.",
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{
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"speaker": "SPEAKER_00"
}
],
"speaker": "SPEAKER_00"
},
{
"start": 2.83,
"end": 5.812,
"text": "Certain starting pitchers like pitching a certain catcher is better at home.",
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{
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{
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{
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{
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{
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{
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{
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],
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},
{
"start": 5.812,
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"text": "He's been very good for the Rangers.",
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"speaker": "SPEAKER_00"
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{
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],
"speaker": "SPEAKER_00"
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{
"start": 7.113,
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"text": "You saw his absence when he was out.",
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{
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{
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{
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{
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{
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"text": "But it's amazing.",
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{
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{
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{
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"end": 12.817,
"text": "When you look at Texas and you say all right would have been nice if they had to Grom.",
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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"text": "But this is now a formidable one too with Jordan Montgomery and Nathan Evalds.",
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{
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"text": "I love to see that right there because it just took me back to Bruce Bochy in the relationship with with Buster Posey.",
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{
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Performance Metrics

12.08s Prediction Time
11.93s Total Time
All Input Parameters
{
  "task": "transcribe",
  "debug": false,
  "diarize": true,
  "only_text": false,
  "audio_file": "https://replicate.delivery/pbxt/JhUhwsTpsFNXb9URfYaU7keZ1ncFhbCfQvsBsr98QwzvxrFm/video%20%2880%29.mp4",
  "batch_size": 32,
  "align_output": true,
  "file_extension": ".wav"
}
Input Parameters
task Type: stringDefault: transcribe
Task: transcribe or translate
debug Type: booleanDefault: false
Debugging purposes
diarize Type: booleanDefault: false
Diarize the result
language Type: string
Original language of the audio (reduces hallucinations). Leave empty to detect automatically
audio_url Type: string
Direct audio url. (Input option #2)
only_text Type: booleanDefault: false
Set if you only want to return text; otherwise, segment metadata will be returned as well.
audio_file Type: string
Audio file (Input option #1)
batch_size Type: integerDefault: 32
Parallelization of input audio transcription
align_output Type: booleanDefault: false
Use if you need word-level timing and not just batched transcription
file_extension Type: stringDefault: .wav
Extension of the audio file (if audio_url is used)
Output Schema

Output

Type: string

Example Execution Logs
Detected language: en (1.00) in first 30s of audio...
Transcribed within: 3.784276247024536s
Aligned segments within: 5.876537084579468s
Diarized within: 4.76012659072876s
Max GPU memory allocated over runtime: 3.14 GB
Version Details
Version ID
8546c72072508102e7c5c3ca73ed05f48ccb910248717db0db1326df90d09ba5
Version Created
September 16, 2023
Run on Replicate →