From dcc4f728cdb83a48250825288bbb92b7a0d2848b Mon Sep 17 00:00:00 2001 From: "haoneng.lhn" Date: Fri, 19 May 2023 13:19:55 +0800 Subject: [PATCH] update paraformer online text postprocess --- .../demo.py | 2 +- .../demo.py | 39 +++++++++++++++++++ funasr/bin/asr_infer.py | 13 +++++-- 3 files changed, 50 insertions(+), 4 deletions(-) create mode 100644 egs_modelscope/asr/paraformer/speech_paraformer_asr_nat-zh-cn-16k-common-vocab8404-online/demo.py diff --git a/egs_modelscope/asr/paraformer/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online/demo.py b/egs_modelscope/asr/paraformer/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online/demo.py index b56645413..bc511bbd8 100644 --- a/egs_modelscope/asr/paraformer/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online/demo.py +++ b/egs_modelscope/asr/paraformer/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online/demo.py @@ -34,6 +34,6 @@ for sample_offset in range(0, speech_length, min(stride_size, speech_length - sa rec_result = inference_pipeline(audio_in=speech[sample_offset: sample_offset + stride_size], param_dict=param_dict) if len(rec_result) != 0: - final_result += rec_result['text'] + " " + final_result += rec_result['text'] print(rec_result) print(final_result) diff --git a/egs_modelscope/asr/paraformer/speech_paraformer_asr_nat-zh-cn-16k-common-vocab8404-online/demo.py b/egs_modelscope/asr/paraformer/speech_paraformer_asr_nat-zh-cn-16k-common-vocab8404-online/demo.py new file mode 100644 index 000000000..abe66404d --- /dev/null +++ b/egs_modelscope/asr/paraformer/speech_paraformer_asr_nat-zh-cn-16k-common-vocab8404-online/demo.py @@ -0,0 +1,39 @@ +import os +import logging +import torch +import soundfile + +from modelscope.pipelines import pipeline +from modelscope.utils.constant import Tasks +from modelscope.utils.logger import get_logger + +logger = get_logger(log_level=logging.CRITICAL) +logger.setLevel(logging.CRITICAL) + +os.environ["MODELSCOPE_CACHE"] = "./" +inference_pipeline = pipeline( + task=Tasks.auto_speech_recognition, + model='damo/speech_paraformer_asr_nat-zh-cn-16k-common-vocab8404-online', + model_revision='v1.0.4' +) + +model_dir = os.path.join(os.environ["MODELSCOPE_CACHE"], "damo/speech_paraformer_asr_nat-zh-cn-16k-common-vocab8404-online") +speech, sample_rate = soundfile.read(os.path.join(model_dir, "example/asr_example.wav")) +speech_length = speech.shape[0] + +sample_offset = 0 +chunk_size = [8, 8, 4] #[5, 10, 5] 600ms, [8, 8, 4] 480ms +stride_size = chunk_size[1] * 960 +param_dict = {"cache": dict(), "is_final": False, "chunk_size": chunk_size} +final_result = "" + +for sample_offset in range(0, speech_length, min(stride_size, speech_length - sample_offset)): + if sample_offset + stride_size >= speech_length - 1: + stride_size = speech_length - sample_offset + param_dict["is_final"] = True + rec_result = inference_pipeline(audio_in=speech[sample_offset: sample_offset + stride_size], + param_dict=param_dict) + if len(rec_result) != 0: + final_result += rec_result['text'] + print(rec_result) +print(final_result.strip()) diff --git a/funasr/bin/asr_infer.py b/funasr/bin/asr_infer.py index acb5fd870..fc311c8a1 100644 --- a/funasr/bin/asr_infer.py +++ b/funasr/bin/asr_infer.py @@ -828,9 +828,16 @@ class Speech2TextParaformerOnline: # Change integer-ids to tokens token = self.converter.ids2tokens(token_int) - token = " ".join(token) - - results.append(token) + postprocessed_result = "" + for item in token: + if item.endswith('@@'): + postprocessed_result += item[:-2] + elif re.match('^[a-zA-Z]+$', item): + postprocessed_result += item + " " + else: + postprocessed_result += item + + results.append(postprocessed_result) # assert check_return_type(results) return results