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Update timestamp_tools.py

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[fix] fix a bug in function "ts_prediction_lfr6_standard"
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querryton 2024-04-19 13:37:05 +08:00 committed by GitHub
parent 8b03379434
commit df768884a2
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1 changed files with 3 additions and 3 deletions
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funasr/utils/timestamp_tools.py
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@ -43,18 +43,18 @@ def ts_prediction_lfr6_standard(us_alphas,
alphas, peaks = us_alphas, us_peaks
if char_list[-1] == '</s>':
char_list = char_list[:-1]
fire_place = torch.where(peaks>1.0-1e-4)[0].cpu().numpy() + force_time_shift # total offset
fire_place = torch.where(peaks>=1.0-1e-4)[0].cpu().numpy() + force_time_shift # total offset
if len(fire_place) != len(char_list) + 1:
alphas /= (alphas.sum() / (len(char_list) + 1))
alphas = alphas.unsqueeze(0)
peaks = cif_wo_hidden(alphas, threshold=1.0-1e-4)[0]
fire_place = torch.where(peaks>1.0-1e-4)[0].cpu().numpy() + force_time_shift # total offset
fire_place = torch.where(peaks>=1.0-1e-4)[0].cpu().numpy() + force_time_shift # total offset
num_frames = peaks.shape[0]
timestamp_list = []
new_char_list = []
# for bicif model trained with large data, cif2 actually fires when a character starts
# so treat the frames between two peaks as the duration of the former token
fire_place = torch.where(peaks>1.0-1e-4)[0].cpu().numpy() + force_time_shift # total offset
# fire_place = torch.where(peaks>=1.0-1e-4)[0].cpu().numpy() + force_time_shift # total offset
# assert num_peak == len(char_list) + 1 # number of peaks is supposed to be number of tokens + 1
# begin silence
if fire_place[0] > START_END_THRESHOLD: