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修复流式识别中prev_samples截取bug #2779

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修复流式识别中prev_samples截取bug #2779

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2 changes: 1 addition & 1 deletion funasr/models/fsmn_vad_streaming/model.py
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Original file line number Diff line number Diff line change
Expand Up @@ -724,7 +724,7 @@ def inference(
if len(segments_i) > 0:
segments.extend(*segments_i)

cache["prev_samples"] = audio_sample[:-m]
cache["prev_samples"] = audio_sample[-m:] if m > 0 else torch.empty(0)
if _is_final:
self.init_cache(cache)

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2 changes: 1 addition & 1 deletion funasr/models/paraformer_streaming/model.py
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Original file line number Diff line number Diff line change
Expand Up @@ -642,7 +642,7 @@ def inference(
result_i = {"key": key[0], "text": text_postprocessed}
result = [result_i]

cache["prev_samples"] = audio_sample[:-m]
cache["prev_samples"] = audio_sample[-m:] if m > 0 else torch.empty(0)
if _is_final:
self.init_cache(cache, **kwargs)

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4 changes: 2 additions & 2 deletions funasr/models/scama/model.py
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Expand Up @@ -637,7 +637,7 @@ def init_cache(self, cache: dict = {}, **kwargs):
cache["decoder"] = cache_decoder
cache["frontend"] = {}

cache["prev_samples"] = torch.empty(0).to(device=device)
cache["prev_samples"] = torch.empty(0)

return cache

Expand Down Expand Up @@ -726,7 +726,7 @@ def inference(
result_i = {"key": key[0], "text": text_postprocessed}
result = [result_i]

cache["prev_samples"] = audio_sample[:-m]
cache["prev_samples"] = audio_sample[-m:] if m > 0 else torch.empty(0)
if _is_final:
self.init_cache(cache, **kwargs)

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