From 7987a7b6fade65a7fd2a70b661c3818862a21965 Mon Sep 17 00:00:00 2001
From: haoneng.lhn <haoneng.lhn@alibaba-inc.com>
Date: 星期五, 05 五月 2023 11:36:26 +0800
Subject: [PATCH] update streaming paraformer text process
---
funasr/bin/asr_inference_paraformer_streaming.py | 17 ++---------------
1 files changed, 2 insertions(+), 15 deletions(-)
diff --git a/funasr/bin/asr_inference_paraformer_streaming.py b/funasr/bin/asr_inference_paraformer_streaming.py
index 341abe6..be0d752 100644
--- a/funasr/bin/asr_inference_paraformer_streaming.py
+++ b/funasr/bin/asr_inference_paraformer_streaming.py
@@ -301,10 +301,6 @@
token = self.converter.ids2tokens(token_int)
token = " ".join(token)
- #if self.tokenizer is not None:
- # text = self.tokenizer.tokens2text(token)
- #else:
- # text = None
results.append(token)
# assert check_return_type(results)
@@ -556,8 +552,8 @@
input_lens = torch.tensor([stride_size])
asr_result = speech2text(cache, raw_inputs[:, sample_offset: sample_offset + stride_size], input_lens)
if len(asr_result) != 0:
- final_result += asr_result[0]
- item = {'key': "utt", 'value': [final_result]}
+ final_result += " ".join(asr_result) + " "
+ item = {'key': "utt", 'value': [final_result.strip()]}
else:
input_lens = torch.tensor([raw_inputs.shape[1]])
cache["encoder"]["is_final"] = is_final
@@ -751,12 +747,3 @@
if __name__ == "__main__":
main()
- # from modelscope.pipelines import pipeline
- # from modelscope.utils.constant import Tasks
- #
- # inference_16k_pipline = pipeline(
- # task=Tasks.auto_speech_recognition,
- # model='damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch')
- #
- # rec_result = inference_16k_pipline(audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav')
- # print(rec_result)
--
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