Acoustic sound source localization using signal processing is required in order to estimate the direction from where a particular acoustic source signal is coming and it is also important in order to find a solution for hands free communication. Video conferencing, hand free communications are different applications requiring acoustic sound source localization. These applications need a robust algorithm which can reliably localize and position the acoustic sound sources. The Steered Response Power Phase Transform (SRP-PHAT) is an important and robust algorithm to localize acoustic sound sources. However, the algorithm has a high computational complexity thus making the algorithm unsuitable for real time applications. This thesis focuses on describe the implementation of the SRP-PHAT algorithm as a function of source type, reverberation levels and ambient noise. The main objective of this thesis is to present different approaches of the SRP-PHAT to verify the algorithm in terms of acoustic environment, microphone array configuration, acoustic source position and levels of reverberation and noise.
Acoustic sound source localization using signal processing is required in order to estimate the direction from where a particular acoustic source signal is coming and it is also important in order to find a solution for hands free communication. Video conferencing, hand free communications are different applications requiring acoustic sound source localization. These applications need a robust algorithm which can reliably localize and position the acoustic sound sources. The Steered Response Power Phase Transform (SRP-PHAT) is an important and robust algorithm to localize acoustic sound sources. However, the algorithm has a high computational complexity thus making the algorithm unsuitable for real time applications. This thesis focuses on describe the implementation of the SRP-PHAT algorithm as a function of source type, reverberation levels and ambient noise. The main objective of this thesis is to present different approaches of the SRP-PHAT to verify the algorithm in terms of acoustic environment, microphone array configuration, acoustic source position and levels of reverberation and noise.
This book is presenting the beamforming techniques for speech separation using microphone arrays. The primary aim of the project is to increase the speech recognition accuracy by minimising the...
Beamforming: Sensor Signal Processing for Defence Applications presents a range of important research contributions concerned with sensor array signal processing and, in particular, with the...
This book provides a systematic study of the fundamental theory and methods of beamforming with differential microphone arrays (DMAs), or differential beamforming in short. It begins with a brief...
The latest research and developments in robust adaptive beamformingRecent work has made great strides toward devising robust adaptive beamformers that vastly improve signal strength against...
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