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

The use of smart antennas in wireless networks requires real time synchronization of the beamforming and the transmit/receive processes for the host devices that are equipped with such antenna systems. To realize antenna beam-switching in real time, there are additional features that have to be introduced in the source code of the open source driver for IEEE802.11 wireless local area network (WLAN). Thus, the source code is modified to introduce extra elements which would enable the appropriate antenna beam to be used when the local station/node is communicating a specific neighbor node.

...Its simulates a "Microphone Array" and "Room". User can add voice, noice, moving voices in to the Room. After User selects a .wav file and a position for this sound in the room; user can trigger beamforming . According to the position of the "Microphone Array" and "Sound Sources" beamforming will color the room. User can choose a "Sound" as "Noice", "Voice" or even a Moving "Voice".

Beamforming simulation implemented in Matlab.

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.