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auto detection of language for warmup if not indicated

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Quentin Fuxa
2025-08-27 20:37:48 +02:00
parent ab98c31f16
commit 9895bc83bf
2 changed files with 4 additions and 4 deletions
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4
README.md
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@@ -148,7 +148,7 @@ The package includes an HTML/JavaScript implementation [here](https://github.com
An important list of parameters can be changed. But what *should* you change?
- the `--model` size. List and recommandations [here](https://github.com/QuentinFuxa/WhisperLiveKit/blob/main/available_models.md)
- the `--language`. List [here](https://github.com/QuentinFuxa/WhisperLiveKit/blob/main/whisperlivekit/simul_whisper/whisper/tokenizer.py)
- the `--language`. List [here](https://github.com/QuentinFuxa/WhisperLiveKit/blob/main/whisperlivekit/simul_whisper/whisper/tokenizer.py). If you use `auto`, the model attempts to detect the language automatically, but it tends to bias towards English.
- the `--backend` ? you can switch to `--backend faster-whisper` if `simulstreaming` does not work correctly or if you prefer to avoid the dual-license requirements.
- `--warmup-file`, if you have one
- `--host`, `--port`, `--ssl-certfile`, `--ssl-keyfile`, if you set up a server
@@ -159,7 +159,7 @@ The rest I don't recommend. But below are your options.
| Parameter | Description | Default |
|-----------|-------------|---------|
| `--model` | Whisper model size. | `small` |
| `--language` | Source language code or `auto` | `en` |
| `--language` | Source language code or `auto` | `auto` |
| `--task` | `transcribe` or `translate` | `transcribe` |
| `--backend` | Processing backend | `simulstreaming` |
| `--min-chunk-size` | Minimum audio chunk size (seconds) | `1.0` |

4
whisperlivekit/simul_whisper/backend.py
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@@ -212,7 +212,7 @@ class SimulStreamingASR():
logger.warning(SIMULSTREAMING_LICENSE)
self.logfile = logfile
self.transcribe_kargs = {}
self.original_language = None if lan == "auto" else lan
self.original_language = lan
self.model_path = kwargs.get('model_path', './large-v3.pt')
self.frame_threshold = kwargs.get('frame_threshold', 25)
@@ -281,7 +281,7 @@ class SimulStreamingASR():
def load_model(self):
whisper_model = load_model(name=self.model_name, download_root=self.model_path)
warmup_audio = load_file(self.warmup_file)
whisper_model.transcribe(warmup_audio, language=self.original_language)
whisper_model.transcribe(warmup_audio, language=self.original_language if self.original_language != 'auto' else None)
return whisper_model
def get_new_model_instance(self):