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[update] 更新funasr parformer_streaming cache管理，增加seesion_id字段

This commit is contained in:
gaohz 2024-05-15 22:38:12 +08:00
parent d930e71410
commit a943a281d5
1 changed files with 12 additions and 5 deletions
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17
utils/stt/funasr_utils.py
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@ -26,9 +26,12 @@ class FunAutoSpeechRecognizer(STTBase):
chunk_ms=480,
encoder_chunk_look_back=4,
decoder_chunk_look_back=1,
mutli_cache_enable=True,
**kwargs):
super().__init__(RATE=RATE, cfg_path=cfg_path, debug=debug)
self.mutli_cache_enable = mutli_cache_enable
self.asr_model = AutoModel(model=model_path, device=device, **kwargs)
self.encoder_chunk_look_back = encoder_chunk_look_back #number of chunks to lookback for encoder self-attention
@ -79,9 +82,12 @@ class FunAutoSpeechRecognizer(STTBase):
def _init_asr(self):
# 随机初始化一段音频数据
init_audio_data = np.random.randint(-32768, 32767, size=self.chunk_partial_size, dtype=np.int16)
self.session_signup("init")
self.asr_model.generate(input=init_audio_data, cache=self.asr_cache, is_final=False, chunk_size=self.chunk_size, encoder_chunk_look_back=self.encoder_chunk_look_back, decoder_chunk_look_back=self.decoder_chunk_look_back, session_id="init")
self.session_signout("init")
if self.mutli_cache_enable:
self.session_signup("init")
self.asr_model.generate(input=init_audio_data, cache=self.asr_cache, is_final=False, chunk_size=self.chunk_size, encoder_chunk_look_back=self.encoder_chunk_look_back, decoder_chunk_look_back=self.decoder_chunk_look_back, session_id="init")
self.session_signout("init")
else:
self.asr_model.generate(input=init_audio_data, cache=None, is_final=False, chunk_size=self.chunk_size, encoder_chunk_look_back=self.encoder_chunk_look_back, decoder_chunk_look_back=self.decoder_chunk_look_back)
# print("init ASR model done.")
# when chat trying to use asr , sign up
@ -148,9 +154,10 @@ class FunAutoSpeechRecognizer(STTBase):
speech_chunk = audio_cache[start_idx:end_idx]
# TODO: exceptions processes
print("i:", i)
# print("i:", i)
try:
res = self.asr_model.generate(input=speech_chunk, cache=self.asr_cache, is_final=is_end, chunk_size=self.chunk_size, encoder_chunk_look_back=self.encoder_chunk_look_back, decoder_chunk_look_back=self.decoder_chunk_look_back, session_id=session_id)
res = self.asr_model.generate(input=speech_chunk, cache=self.asr_cache, is_final=is_end, chunk_size=self.chunk_size, encoder_chunk_look_back=self.encoder_chunk_look_back, decoder_chunk_look_back=self.decoder_chunk_look_back, session_id=session_id if self.mutli_cache_enable else None)
# , session_id=session_id
except ValueError as e:
print(f"ValueError: {e}")
continue