Pyroomacoustics is a package for audio signal processing for indoor applications. It was developed as a fast prototyping platform for beamforming algorithms in indoor scenarios.

A collection of resources to make a smart speaker

Tools for Speech Enhancement integrated with Kaldi

The SpeechBrain project aims to build a novel speech toolkit fully based on PyTorch. With SpeechBrain users can easily create speech processing systems, ranging from speech recognition (both HMM/DNN and end-to-end), speaker recognition, speech enhancement, speech separation, multi-microphone speech processing, and many others.

Classical algorithms of sound source localization with beamforming, TDOA and high-resolution spectral estimation.

关于语音信号声源定位DOA估计所用的一些传统算法

Collection of EM algorithms for blind source separation of audio signals

simple delaysum, MVDR and CGMM-MVDR

Control adaptive filters with neural networks.

DOA

Implementation of the CGMM-MVDR beamforming (for python version please refer to https://github.com/funcwj/setk)

A simple GUI tool for antenna array analysis

🎯 ML-based positioning method from mmWave transmissions - with high accuracy and energy efficiency

This project gives an example of dual microphone speech enhancement based on GSC beamformer and multiple channel postfilter.

some Matlab examples of microphone array beamforming

A simple example with how hybrid beamforming is employed at the transmit end of a massive MIMO communications system.

FP-AUD-SMARTMIC1 provides a firmware running on STM32 which acquires audio signals of four digital MEMS microphones, elaborates them by means of embedded DSP libraries and streams the processed audio to both an USB host and a loudspeaker connected to the relevant expansion board.

Deep learning based Speech Beamforming

CMU 18545 FPGA project -- Multi-channel ultrasound data acquisition and beamforming system.

NumPy/Python toolbox for sound field analysis