Command line to start the server（服务器端启动方式）:

使用如下指令online-audio-server-decode-faster启动服务器：

online-audio-server-decode-faster --verbose=1 --rt-min=0.5 --rt-max=3.0 --max-active=6000 \
--beam=72.0 --acoustic-scale=0.0769 final.mdl graph/HCLG.fst graph/words.txt '1:2:3:4:5' \
graph/word_boundary.int 5010 final.mat

Arguments are as follow（参数意义）:

  • final.mdl – the acoustic model
  • HCLG.fst – the complete FST
  • words.txt – word dictionary (mapping word ids to their textual representation)
  • '1:2:3:4:5' – list of silence phoneme ids
  • 5010 – port the server is listening on
  • word_boundary.int– a list of phoneme boundary information required for word alignemnt
  • final.mat – feature LDA matrix

注意：如果没有word_boundary.int 需要重新运行prepare_lang.sh生成。修改如下：

#原指令：
utils/prepare_lang.sh --position-dependent-phones false data/local/dict "<SPOKEN_NOISE>" \
data/local/lang data/lang
#改为：
utils/prepare_lang.sh data/local/dict "<SPOKEN_NOISE>" data/local/lang data/lang

Command line to start the client（客户端启动方式）:

直接运行如下指令即可启动客户端：

 online-audio-client --htk --vtt localhost 5010 scp:test.scp

Arguments are as follow（参数意义）:

  • –htk – save results as an HTK label file
  • –vtt – save results as a WebVTT file
  • localhost – server to connect to
  • 5010 – port to connect to
  • scp:test.scp – list of WAV files to send

Command line to start the Java client（移动客户端）:

移动客户端我还未尝试：

java -jar online-audio-client.jar

Or simply double-click the JAR file in the graphical interface.

引用：kaldi-asr
转载请注明：https://blog.csdn.net/chinatelecom08/article/details/81476698

参考：kaldi首页

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