mrpep / Digital-Audio-Signal-Processing-and-Machine-Learning-Tutorials

Digital Audio Signal Processing and Machine Learning Tutorials

Digital Audio Signal Processing and Machine Learning Tutorials

This is a repository where I will upload Jupyter notebooks with tutorials on Audio DSP and Machine Learning.

• Dimensionality reduction for audio organization - English

  Watch online in: https://github.com/mrpep/Digital-Audio-Signal-Processing-and-Machine-Learning-Tutorials/blob/master/Audio%20exploration.ipynb

  What you will learn:

  • Preparing audio data and extracting features with libROSA.
  • Using sklearn for dimensionality reduction and UMap.
  • Build Convolutional and variational autoencoders in Keras.
  • Combine dimensionality reduction techniques and use them to explore interactively audio.

• Separación de componentes armónicas y percusivas (HPSS) - Spanish

  Watch online in: https://nbviewer.jupyter.org/github/mrpep/Tutoriales-Procesamiento-de-audio/blob/master/HPSS.ipynb

  What you will learn:

  • Use of moving median filters for percussive and harmonic sounds emphasis.
  • Time-frequency domain filtering with binary, soft and hybrid masks.