Pre-Processing audio data for whale sound classification using CNN












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Previous researchers have used techniques like Denoising using Spectral Subtraction method and calculating Short Time Fourier Transform (STFT) by dividing the audio data into fixed size chunks and then calculating the frame spectrogram for each of these chunks.



The image below shows how the author has pre-processed his data by manually extracting the frame and calculating it's spectrogram after applying the above-mentioned methods.



What pre-processing techniques exist for such kind of audio data where you need to use the spectrogram images for developing a CNN model, given that all audio files will be of varying length and bit-rates?



pre-process










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    $begingroup$


    Previous researchers have used techniques like Denoising using Spectral Subtraction method and calculating Short Time Fourier Transform (STFT) by dividing the audio data into fixed size chunks and then calculating the frame spectrogram for each of these chunks.



    The image below shows how the author has pre-processed his data by manually extracting the frame and calculating it's spectrogram after applying the above-mentioned methods.



    What pre-processing techniques exist for such kind of audio data where you need to use the spectrogram images for developing a CNN model, given that all audio files will be of varying length and bit-rates?



    pre-process










    share|improve this question







    New contributor




    Abhishek Singh is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.







    $endgroup$















      0












      0








      0





      $begingroup$


      Previous researchers have used techniques like Denoising using Spectral Subtraction method and calculating Short Time Fourier Transform (STFT) by dividing the audio data into fixed size chunks and then calculating the frame spectrogram for each of these chunks.



      The image below shows how the author has pre-processed his data by manually extracting the frame and calculating it's spectrogram after applying the above-mentioned methods.



      What pre-processing techniques exist for such kind of audio data where you need to use the spectrogram images for developing a CNN model, given that all audio files will be of varying length and bit-rates?



      pre-process










      share|improve this question







      New contributor




      Abhishek Singh is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.







      $endgroup$




      Previous researchers have used techniques like Denoising using Spectral Subtraction method and calculating Short Time Fourier Transform (STFT) by dividing the audio data into fixed size chunks and then calculating the frame spectrogram for each of these chunks.



      The image below shows how the author has pre-processed his data by manually extracting the frame and calculating it's spectrogram after applying the above-mentioned methods.



      What pre-processing techniques exist for such kind of audio data where you need to use the spectrogram images for developing a CNN model, given that all audio files will be of varying length and bit-rates?



      pre-process







      machine-learning python cnn data-cleaning preprocessing






      share|improve this question







      New contributor




      Abhishek Singh is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.











      share|improve this question







      New contributor




      Abhishek Singh is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.









      share|improve this question




      share|improve this question






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      Abhishek Singh is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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      asked 1 hour ago









      Abhishek SinghAbhishek Singh

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