Effect of Reverberation on Different DOA Estimation Techniques using Microphone Array

Author(s):

Dr. Navin Kumar , IGNOU Center for Engineering,Muaffarpur; Dr. Alka Singh, Guru Ghasi das Central University

Keywords:

Acoustic-Source Localization, Microphone-Arrays, Beam Forming, Music

Abstract:

The automatic estimation of DOA is very important for many practical applications such as in automatic speech Recognition (ASR), Speaker tracking, teleconferencing, Human Computer Interaction (HCI) in particular and Human Machine Interface (HCI) in general, Robotic audition, Blind signal separation (BSS) etc. Acoustic-source localization based on microphone-arrays has been a mainstream research topic for over two decades. The solution available in the literature can be broadly categorized into three categories mainly those based on maximizing the steered response power (SRP) of a beamformer, those based on High-resolution spectral estimation (HRSE) methods; and those based on time difference of arrival (TDOA) algorithm source localization methods of the second categories are all based on the analysis of the spatial convergence matrix (SCM) of the array sensors signals. The SCM is usually unknown and needs to be estimated from the acquired data. Such solutions rely on high resolution spectral estimation techniques, popular algorithm based on HRSE are minimum variance beamformer and multiple signals classification (MUSIC) algorithm. These algorithms can be extended to wide band signals ex. Speech by transforming the signal into narrow band signal. Each narrow band signal can be processed individually (incoherent method) or a universal focusing SCM can be generated to perform a coherent localization.

Other Details:

Manuscript Id	:	IJSTEV3I7100
Published in	:	Volume : 3, Issue : 7
Publication Date	:	01/02/2017
Page(s)	:	166-169

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