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question about wave2feat and training

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viviane
2008-03-26
2012-09-22
  • viviane

    viviane - 2008-03-26

    Hi.

    I was using wave2feat executable from SphinxTrain to get my feature files. In fact, I did it, but when I trained my context independent models using 3 states/phone, I got a lot of my utterances ignored at some iterations of the baum welch. There I got the error "final state not reached".
    Then, I'm not sure if my feature files were generated correctly because I was using a set of 1000 audio files in the .wav format and sampling rate of 48KHz... I understand the default values of wave2feat parameters refer to 16KHz but I didn't know exactly what to change...
    Then, I used the default values except for the fft number, that was set to 2048... Is that enough or is there anything I could do to improve this?

    And .. About this problem of some utterances being ignored at some iterations of the baum welch, is that common or should I do something to improve this?

    Could someone help me?

    Thanks in advance...

     
    • Nickolay V. Shmyrev

      Resample files to 16000 with sox.

       
    • viviane

      viviane - 2008-03-26

      ok.. And how should I do this? Is there anyway sox would convert a list of files instead of just one?
      And how should I do if I want to convert my files to raw format?

       
      • Nickolay V. Shmyrev

        There is no need to use raw, use wav, just set variables in config file properly. About sox:

        mkdir wav_new
        for f in *.wav; do sox $f -r 16000 wav_new/$f; done

        will do the trick.

         
    • viviane

      viviane - 2008-03-27

      thanks..

      I did this but I'm still getting the errors in baum welch..
      Everything else seems to be right..
      What could that be?

       
      • Nickolay V. Shmyrev

        I hope you didn't forget to rebuild features from new audio files. It might be everythign actually. If you like, pack a few files and etc folder into archive and upload it somewhere.

         

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