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为什么说第二句话的时候才能计算出第一句话的标点?这样岂不是最后一句话一直没有标点吗? #2143

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yfqvip opened this issue Oct 15, 2024 · 1 comment
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@yfqvip
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yfqvip commented Oct 15, 2024

如题,这个问题困扰了我很久,请问要做什么配置吗?
例如,第一句话说:“你好吗”(此时没有问号),第二句话说:“我很好”(此时回复的是:“?我很好”),那么如果我只说一句话就没有标点了;多句话的时候最后一句也是没有标点的。
感谢~
下面是具体的配置以及日志:
sudo docker pull registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-online-cpu-0.1.11

nohup bash run_server_2pass.sh
--download-model-dir /workspace/models
--vad-dir damo/speech_fsmn_vad_zh-cn-16k-common-onnx
--model-dir damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-onnx
--online-model-dir damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online-onnx
--punc-dir damo/punc_ct-transformer_zh-cn-common-vad_realtime-vocab272727-onnx
--lm-dir damo/speech_ngram_lm_zh-cn-ai-wesp-fst
--itn-dir thuduj12/fst_itn_zh
--certfile 0
--hotword /workspace/models/hotwords.txt > log.txt 2>&1 &

I20241015 11:04:38.081081 978 websocket-server-2pass.cpp:478] jsonresult={"chunk_interval":10,"chunk_size":[5,10,5],"is_speaking":false,"mode":"2pass","wav_name":"h5"}, msg_data->msg={"access_num":0,"audio_fs":16000,"is_eof":false,"itn":false,"mode":"2pass","wav_format":"pcm","wav_name":"h5"}
I20241015 11:04:38.081166 978 websocket-server-2pass.cpp:484] client done
I20241015 11:04:43.084945 977 websocket-server-2pass.cpp:342] connection is closed.
I20241015 11:04:51.849478 978 websocket-server-2pass.cpp:444] hotwords:
I20241015 11:04:51.849568 978 websocket-server-2pass.cpp:447] ͨ��ǧ�� : 100
I20241015 11:04:51.849576 978 websocket-server-2pass.cpp:447] ħ�� : 100
I20241015 11:04:51.849582 978 websocket-server-2pass.cpp:447] "max_tokens": : 400
I20241015 11:04:51.849588 978 websocket-server-2pass.cpp:447] "temperature": : 0
I20241015 11:04:51.849593 978 websocket-server-2pass.cpp:447] hello world : 40
I20241015 11:04:51.849599 978 websocket-server-2pass.cpp:447] 阿里巴巴 : 20
I20241015 11:04:51.849725 978 bias-lm.h:134] Build bias lm takes 0.000115 s
I20241015 11:04:51.849825 978 websocket-server-2pass.cpp:478] jsonresult={"chunk_interval":10,"chunk_size":[5,10,5],"hotwords":"{"阿里巴巴":20,"hello world":40}","is_speaking":true,"itn":true,"mode":"2pass","wav_name":"h5"}, msg_data->msg={"access_num":0,"audio_fs":16000,"is_eof":false,"itn":true,"mode":"2pass","wav_format":"pcm","wav_name":"h5"}
I20241015 11:04:57.494354 949 websocket-server-2pass.cpp:67] online_res :你好
I20241015 11:04:58.202082 955 websocket-server-2pass.cpp:67] online_res :吗
I20241015 11:04:58.202142 955 websocket-server-2pass.cpp:73] offline results : 你好吗
I20241015 11:04:58.202149 955 websocket-server-2pass.cpp:80] offline stamps : [[2270,2470],[2470,2629],[2629,2965]]
I20241015 11:04:58.202169 955 websocket-server-2pass.cpp:88] offline stamp_sents : [{"end":2965,"punc":"","start":2270,"text_seg":"你 好 吗","ts_list":[[2270,2470],[2470,2629],[2629,2965]]}]
I20241015 11:05:01.354351 942 websocket-server-2pass.cpp:67] online_res :我
I20241015 11:05:01.975816 949 websocket-server-2pass.cpp:67] online_res :很
I20241015 11:05:02.760255 956 websocket-server-2pass.cpp:67] online_res :好
I20241015 11:05:02.760314 956 websocket-server-2pass.cpp:73] offline results : ?我很好
I20241015 11:05:02.760320 956 websocket-server-2pass.cpp:80] offline stamps : [[6260,6620],[6620,7000],[7000,7395]]
I20241015 11:05:02.760339 956 websocket-server-2pass.cpp:88] offline stamp_sents : [{"end":-1,"punc":"?","start":-1,"text_seg":"","ts_list":[]},{"end":7395,"punc":"","start":6260,"text_seg":"我 很 好","ts_list":[[6260,6620],[6620,7000],[7000,7395]]}]
I20241015 11:05:53.089830 979 websocket-server-2pass.cpp:478] jsonresult={"chunk_interval":10,"chunk_size":[5,10,5],"is_speaking":false,"mode":"2pass","wav_name":"h5"}, msg_data->msg={"access_num":1,"audio_fs":16000,"is_eof":false,"itn":true,"mode":"2pass","wav_format":"pcm","wav_name":"h5"}
I20241015 11:05:53.089934 979 websocket-server-2pass.cpp:484] client done
I20241015 11:05:58.088874 977 websocket-server-2pass.cpp:342] connection is closed.

@yfqvip yfqvip added the question Further information is requested label Oct 15, 2024
@LauraGPT
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是的,目前的模型训练过程是这个样子的。

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