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Audio Signal Processing Concepts Explained with Python

Fundamentals of Audio Signal Processing

Sound Waves
Sampling
Quantization
Amplitude, Power and Decibels
Complex Numbers
Linear Algebra Basics with Numpy
Linear & Non-Linear Systems in Discrete Time (DT)

Time and Frequency Domain Analysis

Waveforms
Time Domain Analysis
Fourier Transform
Convolution
Filters

Measuring and Analyzing Audio Signals

Signal Normalization, DC Offset, and RMS Measurement
Loudness according to: ITU-R BS.1770-2
Sweep Tone Analysis
- Plot Audio Files Waveforms and Spectrograms with Essentia
- Plot Difference
Sound and Music Descriptors

Room Acoustics

Reverberation
Impulse Response
- Impulse Response (IR): Plotting Functions
- Plot Impulse Response (IR) with zoom
Convolution Reverb
Feedback Delay Network (FDN) Reverb
Analysis and Synthesis of Spring Reverb

Appendix

Working with Audio Files in Python

Additional Information

Contributing
Code of Conduct

References

References

Repository
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By Francesco Papaleo

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