Search Results for "beamforming"

BTK contains C++ and Python libraries that implement speech processing and microphone array techniques such as speech feature extraction, speech enhancement, speaker tracking, beamforming, dereverberation and echo cancellation algorithms. The Millennium ASR provides C++ and python libraries for automatic speech recognition. The Millennium ASR implements a weighted finite state transducer (WFST) decoder, training and adaptation methods. These toolkits are meant for facilitating research and development of automatic distant speech recognition.

ManyEars implements real-time microphone array processing to perform sound source localisation, tracking and separation. It was designed for mobile robot audition in dynamic environments. NOTE: Development will continue on github : https://github.com/introlab/manyears

BeamformIt is an acoustic beamforming tool that accepts a variable amount of input channels and computes an output via a filter&sum beamforming technique. It can process all sorts of data acoustic files, leading to an homogeneous single output.

This project seeks to implement basic routines in Matlab and Octave (currently using Matlab R13) for simulating adaptive beamforming and filtering for antenna arrays.