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