Title :
Multichannel speech enhancement using MEMS microphones
Author :
Skordilis, Z.I. ; Tsiami, A. ; Maragos, P. ; Potamianos, G. ; Spelgatti, L. ; Sannino, R.
Author_Institution :
Sch. of ECE, Nat. Tech. Univ. of Athens, Athens, Greece
Abstract :
In this work, we investigate the efficacy of Micro Electro-Mechanical System (MEMS) microphones, a newly developed technology of very compact sensors, for multichannel speech enhancement. Experiments are conducted on real speech data collected using a MEMS microphone array. First, the effectiveness of the array geometry for noise suppression is explored, using a new corpus containing speech recorded in diffuse and localized noise fields with a MEMS microphone array configured in linear and hexagonal array geometries. Our results indicate superior performance of the hexagonal geometry. Then, MEMS microphones are compared to Electret Condenser Microphones (ECMs), using the ATHENA database, which contains speech recorded in realistic smart home noise conditions with hexagonal-type arrays of both microphone types. MEMS microphones exhibit performance similar to ECMs. Good performance, versatility in placement, small size, and low cost, make MEMS microphones attractive for multichannel speech processing.
Keywords :
audio recording; micromechanical devices; microphone arrays; speech enhancement; ATHENA database; ECM; MEMS microphone array; array geometry; compact sensors; electret condenser microphones; hexagonal array geometries; linear array geometries; micro electromechanical system; multichannel speech enhancement; noise suppression; speech recording; Arrays; Micromechanical devices; Microphones; Noise; Sensors; Speech; Speech enhancement; MEMS microphone array; microphone array speech processing; multichannel speech enhancement;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on
Conference_Location :
South Brisbane, QLD
DOI :
10.1109/ICASSP.2015.7178467