| funasr/bin/asr_inference_paraformer.py | ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史 | |
| funasr/bin/asr_inference_paraformer_timestamp.py | ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史 | |
| funasr/bin/asr_inference_paraformer_vad_punc.py | ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史 |
funasr/bin/asr_inference_paraformer.py
@@ -169,7 +169,7 @@ self.converter = converter self.tokenizer = tokenizer is_use_lm = lm_weight != 0.0 and lm_file is not None if ctc_weight == 0.0 and not is_use_lm: if (ctc_weight == 0.0 or asr_model.ctc == None) and not is_use_lm: beam_search = None self.beam_search = beam_search logging.info(f"Beam_search: {self.beam_search}") funasr/bin/asr_inference_paraformer_timestamp.py
@@ -172,7 +172,7 @@ self.converter = converter self.tokenizer = tokenizer is_use_lm = lm_weight != 0.0 and lm_file is not None if ctc_weight == 0.0 and not is_use_lm: if (ctc_weight == 0.0 or asr_model.ctc == None) and not is_use_lm: beam_search = None self.beam_search = beam_search logging.info(f"Beam_search: {self.beam_search}") funasr/bin/asr_inference_paraformer_vad_punc.py
@@ -174,7 +174,7 @@ self.converter = converter self.tokenizer = tokenizer is_use_lm = lm_weight != 0.0 and lm_file is not None if ctc_weight == 0.0 and not is_use_lm: if (ctc_weight == 0.0 or asr_model.ctc == None) and not is_use_lm: beam_search = None self.beam_search = beam_search logging.info(f"Beam_search: {self.beam_search}") @@ -666,7 +666,7 @@ time_stamp_postprocessed)) logging.info("decoding, feature length total: {}, forward_time total: {:.4f}, rtf avg: {:.4f}". format(length_total, forward_time_total, 100 * forward_time_total / (length_total * lfr_factor))) format(length_total, forward_time_total, 100 * forward_time_total / (length_total * lfr_factor+1e-6))) return asr_result_list return _forward