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get rid of hop_size_ratio

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adamnsandle
2025-08-26 06:53:53 +00:00
parent 34dea51680
commit 11631356a2
1 changed files with 8 additions and 7 deletions
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13
src/silero_vad/utils_vad.py
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@@ -202,7 +202,6 @@ def get_speech_timestamps(audio: torch.Tensor,
progress_tracking_callback: Callable[[float], None] = None, progress_tracking_callback: Callable[[float], None] = None,
neg_threshold: float = None, neg_threshold: float = None,
window_size_samples: int = 512, window_size_samples: int = 512,
hop_size_ratio: float = 1,
min_silence_at_max_speech: float = 98, min_silence_at_max_speech: float = 98,
use_max_poss_sil_at_max_speech: bool = True): use_max_poss_sil_at_max_speech: bool = True):
@@ -252,13 +251,15 @@ def get_speech_timestamps(audio: torch.Tensor,
neg_threshold: float (default = threshold - 0.15) neg_threshold: float (default = threshold - 0.15)
Negative threshold (noise or exit threshold). If model's current state is SPEECH, values BELOW this value are considered as NON-SPEECH. Negative threshold (noise or exit threshold). If model's current state is SPEECH, values BELOW this value are considered as NON-SPEECH.
min_silence_at_max_speech: float (default - 98ms)
Minimum silence duration in ms which is used to avoid abrupt cuts when max_speech_duration_s is reached
use_max_poss_sil_at_max_speech: bool (default - True)
Whether to use the maximum possible silence at max_speech_duration_s or not. If not, the last silence is used.
window_size_samples: int (default - 512 samples) window_size_samples: int (default - 512 samples)
!!! DEPRECATED, DOES NOTHING !!! !!! DEPRECATED, DOES NOTHING !!!
hop_size_ratio: float (default - 1), number of samples by which the window is shifted, 1 means hop_size_samples = window_size_samples
min_silence_at_max_speech: float (default - 25ms), minimum silence duration in ms which is used to avoid abrupt cuts when max_speech_duration_s is reached
use_max_poss_sil_at_max_speech: bool (default - True), whether to use the maximum possible silence at max_speech_duration_s or not. If not, the last silence is used.
Returns Returns
---------- ----------
speeches: list of dicts speeches: list of dicts
@@ -288,7 +289,7 @@ def get_speech_timestamps(audio: torch.Tensor,
raise ValueError("Currently silero VAD models support 8000 and 16000 (or multiply of 16000) sample rates") raise ValueError("Currently silero VAD models support 8000 and 16000 (or multiply of 16000) sample rates")
window_size_samples = 512 if sampling_rate == 16000 else 256 window_size_samples = 512 if sampling_rate == 16000 else 256
hop_size_samples = int(window_size_samples * hop_size_ratio) hop_size_samples = int(window_size_samples)
model.reset_states() model.reset_states()
min_speech_samples = sampling_rate * min_speech_duration_ms / 1000 min_speech_samples = sampling_rate * min_speech_duration_ms / 1000