Introduction to Speech Processing
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Companion reading material by Tom Bäckström, 2019.

Length 20 min

Intended audience: Machine learning students

Contents

  1. Why speech processing?
  2. Basic representations and models
    1. Waveform
    2. Windowing
    3. Spectrogram and the STFT
    4. Cepstrum and MFCC
  3. Machine learning tasks in speech processing
    1. Example application: Voice activity detection (VAD)
  4. Conclusion