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26 changes: 25 additions & 1 deletion whisper_timestamped/transcribe.py
Original file line number Diff line number Diff line change
Expand Up @@ -117,6 +117,10 @@ def transcribe_timestamped(
suppress_tokens="-1",
sample_len=None,
verbose=False,
avoid_empty_speech=True,
vad_min_speech_duration=0.1,
vad_min_silence_duration=1,
vad_dilatation=0.5,
):
"""
Transcribe an audio file using Whisper
Expand Down Expand Up @@ -214,6 +218,18 @@ def transcribe_timestamped(
Whether to display the text being decoded to the console. If True, displays all the details,
If False, displays minimal details. If None, does not display anything

avoid_empty_speech: bool
Whether to avoid empty speech segments (i.e. segments with no speech detected).

vad_min_speech_duration: float
Minimum duration of a speech segment, in seconds. If a speech segment is shorter than this, it will be removed.

vad_min_silence_duration: float
Minimum duration of a silence segment, in seconds. If a silence segment is shorter than this, it will be removed.

vad_dilatation: float
Dilatation factor for the speech segments. If a speech segment is shorter than this, it will be removed.

Returns
-------
A dictionary containing the resulting text ("text") and segment-level details ("segments"), and
Expand Down Expand Up @@ -293,7 +309,15 @@ def transcribe_timestamped(

if vad is not None:
audio = get_audio_tensor(audio)
audio, vad_segments, convert_timestamps = remove_non_speech(audio, method=vad, sample_rate=SAMPLE_RATE, plot=plot_word_alignment, avoid_empty_speech=True)
audio, vad_segments, convert_timestamps = remove_non_speech(audio,
method=vad,
sample_rate=SAMPLE_RATE,
plot=plot_word_alignment,
avoid_empty_speech=avoid_empty_speech,
min_speech_duration=vad_min_speech_duration,
min_silence_duration=vad_min_silence_duration,
dilatation=vad_dilatation,
)
else:
vad_segments = None

Expand Down