Merge pull request #96 from alibaba-damo-academy/main

zhifu gao

2023-02-10 19f416f5fc916d985b91733a0fd6271517b9fe0f

 funasr/bin/asr_inference_paraformer_vad.py

@@ -241,6 +241,11 @@
            allow_variable_data_keys=allow_variable_data_keys,
            inference=True,
        )

        if param_dict is not None:
            use_timestamp = param_dict.get('use_timestamp', True)
        else:
            use_timestamp = True
        
        finish_count = 0
        file_count = 1
@@ -284,8 +289,10 @@
                text, token, token_int = result[0], result[1], result[2]
                time_stamp = None if len(result) < 4 else result[3]
               
                
                postprocessed_result = postprocess_utils.sentence_postprocess(token, time_stamp)
                if use_timestamp and time_stamp is not None:
                    postprocessed_result = postprocess_utils.sentence_postprocess(token, time_stamp)
                else:
                    postprocessed_result = postprocess_utils.sentence_postprocess(token)
                text_postprocessed = ""
                time_stamp_postprocessed = ""
                text_postprocessed_punc = postprocessed_result
@@ -293,9 +300,11 @@
                    text_postprocessed, time_stamp_postprocessed, word_lists = postprocessed_result[0], \
                                                                               postprocessed_result[1], \
                                                                               postprocessed_result[2]
                    text_postprocessed_punc = text_postprocessed
                    if len(word_lists) > 0 and text2punc is not None:
                        text_postprocessed_punc, punc_id_list = text2punc(word_lists, 20)
                else:
                    text_postprocessed, word_lists = postprocessed_result[0], postprocessed_result[1]
                text_postprocessed_punc = text_postprocessed
                if len(word_lists) > 0 and text2punc is not None:
                    text_postprocessed_punc, punc_id_list = text2punc(word_lists, 20)

                
                item = {'key': key, 'value': text_postprocessed_punc}