A Bee Swarm Simulator macro for Windows

Hydra Order Management System

Collection of EM algorithms for blind source separation of audio signals

Real time monaural source separation base on fully convolutional neural network operates on Time-frequency domain.

A fast implementation of bss_eval metrics for blind source separation

Combine sound source separation with SRP-PHAT to achieve multi-source localization.

This is a comprehensive, sovereign cellular connectivity solution that enables organizations to deploy and manage their own private 5G/LTE networks. This full-stack platform provides end-to-end capabilities from core network integration to subscriber management, charging, and developer APIs

logWMSE, an audio quality metric & loss function with support for digital silence target. Useful for training and evaluating audio source separation systems.

Code to do blind source separation with more microphones than sources using auxilliary based independent vector analysis.

Variations of L1 SNR Loss function for training audio source separation machine learning models

Cloud-native Telco BSS hosted in GCP K8s with standalone Diameter to gRPC gateway. Rule Engine using Neo4j graphs. Analytics Events sent to GCP BigData (Dataflow+BigQuery) via PubSub. It's awesome!

Unofficial PyTorch implementation of "Moises-Light: Resource-efficient Band-split U-Net For Music Source Separation"

Bee Swarm Simulator macro for Linux. Written in wtype and wlrctl, supports EVERY linux distro (as long as it supports ydotool)

Generalized Minimal Distortion Principle for Blind Source Separation

A blind source separation package using non-negative matrix factorization and non-negative ICA

Official repository for "Blind Source Separation of Single-Channel Mixtures via Multi-Encoder Autoencoders".

Official implementation of A cappella: Audio-visual Singing VoiceSeparation, from BMVC21

A model for Blind Source Separation using Dictionary Learning

Accurate & Fast BlindSQL Scanner, This tool automatically determines a response time baseline for each target and calculates dynamic thresholds for each payload!

Music source separation testbench with various offline and realtime DSP and machine learning algorithms using the STFT, CQT, NSGT, sliCQT, WMDCT, and TFJigsaw