A Java Library for Digital Signal Processing

A librosa STFT/Fbank/mfcc feature extration written up in PyTorch using 1D Convolutions.

Zafar's Audio Functions in Python for audio signal analysis: STFT, inverse STFT, mel filterbank, mel spectrogram, MFCC, CQT kernel, CQT spectrogram, CQT chromagram, DCT, DST, MDCT, inverse MDCT.

Zafar's Audio Functions in Matlab for audio signal analysis: STFT, inverse STFT, mel filterbank, mel spectrogram, MFCC, CQT kernel, CQT spectrogram, CQT chromagram, DCT, DST, MDCT, inverse MDCT.

只要蘊藏著想成為真物的意志，偽物就比真物還要來得真實。

Tips for best practices with filterbanks

10th place solution for Google Smartphone Decimeter Challenge at kaggle.

The simplest way to demix stereo content with decent quality and low latency.

Python code “Jupyter notebooks” for the paper entitled " Similarity-Based Predictive Maintenance Framework for Rotating Machinery" has been presented in the Fifth International Conference on Communications, Signal Processing, and their Applications (ICCSPA’22), Cairo, Egypt, 27-29 December 2022. Techniques used: statistical analysis, FFT, and STFT.

Familiarization with Higher Order Statistics (Spectra) and ARMA (Autoregressive Moving Average) models. Time Frequency Analysis techniques (Short Time Fourier, Hilbert-Huang and Wavelet Transform) are implemented in ECG signals.

Javascript Translation of https://sites.google.com/site/mikescoderama/pitch-shifting

Zafar's Audio Functions in Julia for audio signal analysis: STFT, inverse STFT, CQT kernel, CQT spectrogram, CQT chromagram, MFCC, DCT, DST, MDCT, inverse MDCT.

Source code for my research: PM2.5 Density Prediction based on a Two-Stage Rolling Forecast Model using LightGBM

Trabajo de Fin de Máster

Implements the Sigma Transform in C++

Implementing several signal processing techniques for image and audio signal denoising

A python script that implements an automatic speech recognision system.

Communication Lab (2019 Spring)

Basic speech processing implementations