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faster_whisper/transcribe.py
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@@ -294,15 +294,15 @@ class WhisperModel:
the maximum will be set by the default max_length.
chunk_length: The length of audio segments. If it is not None, it will overwrite the
default chunk_length of the FeatureExtractor.
clip_timestamps: Union[str, List[float]]
clip_timestamps:
Comma-separated list start,end,start,end,... timestamps (in seconds) of clips to
process. The last end timestamp defaults to the end of the file.
vad_filter will be ignored if clip_timestamps is used.
hallucination_silence_threshold: Optional[float]
hallucination_silence_threshold:
When word_timestamps is True, skip silent periods longer than this threshold
(in seconds) when a possible hallucination is detected
hotwords:Optional text
add hotwords if set prefix it invalid
hotwords:
Hotwords/hint phrases to provide the model with. Has no effect if prefix is not None.
language_detection_threshold: If the maximum probability of the language tokens is higher
than this value, the language is detected.
language_detection_segments: Number of segments to consider for the language detection.