A fast implementation of bss_eval metrics for blind source separation
MIT License
Performance-oriented implementation of independent vector analysis for blind source separation.
A wrapper around speech quality metrics MOSNet, BSSEval, STOI, PESQ, SRMR, SISDR
Evaluate your biometric verification models literally in seconds.
A highly optimised C++ library for mathematical applications and neural networks.
Code to reproduce results in the paper "SDR - Medium Rare with Fast Computations"
Fast algorithm for determined blind source separation with update of demixing filters with joint ...
State-of-the-art deep learning based audio codec supporting both mono 24 kHz audio and stereo 48 ...
Parse and process the demixing secrets dataset (DSD100)
A library for audio and music analysis, feature extraction.
Weighted least squares meshless interpolator and differentiator.
Benchmark popular audio i/o packages
Gzip Decompression and Random Access for Modern Multi-Core Machines
Generalized Minimal Distortion Principle for Blind Source Separation
splearn: package for signal processing and machine learning with Python. Contains tutorials on un...
Single file forward and inverse Sliding DFT in C, C++ and Python