how to set skip_special_tokens and timestamp level?
How to set parameters similar to skip_special_tokens when generating ASR results? Additionally, does it support ASR results at the timestamp level?
same problem
skip_special_tokens:please update funasr-1.1.1 timestamp: on going
When is the timestamp level expected to be released? We really need this ability. Thanks
How to implement timestamp function? Would you give me some ideas
How to implement timestamp function? Would you give me some ideas use the forced_align provided by the torchaudio like:
alignment, scores = torchaudio.functional.forced_align(ctc_probs, preds.unsqueeze(0), None, None, blank=0)
alignment, scores = torchaudio.functional.forced_align(ctc_probs, preds.unsqueeze(0), None, None, blank=0) 呢個係點用嘅?
@laubonghaudoi 睇下呢度 https://colab.research.google.com/github/pytorch/audio/blob/gh-pages/main/_downloads/97729a601eea05725da9715649633311/ctc_forced_alignment_api_tutorial.ipynb#scrollTo=AeFF8bo3YLoq
Is there any solution now, about the timestamp level