A 1020-Node Modular Microphone Array and Beamformer for Intelligent Computing Spaces

Ubiquitous computing environments are characterized by an unboundedamount of noise and crosstalk. In these environments, traditionalmethods of sound capture are insufficient, and array microphones areneeded in order to obtain a clean recording of desired speech. In thiswork, we have designed, implem...

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Main Authors: Weinstein, Eugene, Steele, Kenneth, Agarwal, Anant, Glass, James
Other Authors: Computer Architecture
Language:en_US
Published: 2005
Online Access:http://hdl.handle.net/1721.1/30461
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author Weinstein, Eugene
Steele, Kenneth
Agarwal, Anant
Glass, James
author2 Computer Architecture
author_facet Computer Architecture
Weinstein, Eugene
Steele, Kenneth
Agarwal, Anant
Glass, James
author_sort Weinstein, Eugene
collection MIT
description Ubiquitous computing environments are characterized by an unboundedamount of noise and crosstalk. In these environments, traditionalmethods of sound capture are insufficient, and array microphones areneeded in order to obtain a clean recording of desired speech. In thiswork, we have designed, implemented, and tested LOUD, a novel 1020-nodemicrophone array utilizing the Raw tile parallel processorarchitecture for computation. To the best of our knowledge,this is currently the largest microphone array in the world. We haveexplored the uses of the array within ubiquitous computing scenarios byimplementing an acoustic beamforming algorithm for sound sourceamplification in a noisy environment, and have obtained preliminaryresults demonstrating the efficacy of the array. From one to 1020microphones, we have shown a 13.7dB increase in peak SNR on arepresentative utterance, an 87.2% drop in word error rate withinterferer present, and an 89.6% drop in WER without an interferer.
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spelling mit-1721.1/304612019-04-12T08:37:45Z A 1020-Node Modular Microphone Array and Beamformer for Intelligent Computing Spaces Weinstein, Eugene Steele, Kenneth Agarwal, Anant Glass, James Computer Architecture Ubiquitous computing environments are characterized by an unboundedamount of noise and crosstalk. In these environments, traditionalmethods of sound capture are insufficient, and array microphones areneeded in order to obtain a clean recording of desired speech. In thiswork, we have designed, implemented, and tested LOUD, a novel 1020-nodemicrophone array utilizing the Raw tile parallel processorarchitecture for computation. To the best of our knowledge,this is currently the largest microphone array in the world. We haveexplored the uses of the array within ubiquitous computing scenarios byimplementing an acoustic beamforming algorithm for sound sourceamplification in a noisy environment, and have obtained preliminaryresults demonstrating the efficacy of the array. From one to 1020microphones, we have shown a 13.7dB increase in peak SNR on arepresentative utterance, an 87.2% drop in word error rate withinterferer present, and an 89.6% drop in WER without an interferer. 2005-12-22T01:27:05Z 2005-12-22T01:27:05Z 2004-04-14 MIT-CSAIL-TR-2004-021 MIT-LCS-TM-642 http://hdl.handle.net/1721.1/30461 en_US Massachusetts Institute of Technology Computer Science and Artificial Intelligence Laboratory 18 p. 26946578 bytes 901671 bytes application/postscript application/pdf application/postscript application/pdf
spellingShingle Weinstein, Eugene
Steele, Kenneth
Agarwal, Anant
Glass, James
A 1020-Node Modular Microphone Array and Beamformer for Intelligent Computing Spaces
title A 1020-Node Modular Microphone Array and Beamformer for Intelligent Computing Spaces
title_full A 1020-Node Modular Microphone Array and Beamformer for Intelligent Computing Spaces
title_fullStr A 1020-Node Modular Microphone Array and Beamformer for Intelligent Computing Spaces
title_full_unstemmed A 1020-Node Modular Microphone Array and Beamformer for Intelligent Computing Spaces
title_short A 1020-Node Modular Microphone Array and Beamformer for Intelligent Computing Spaces
title_sort 1020 node modular microphone array and beamformer for intelligent computing spaces
url http://hdl.handle.net/1721.1/30461
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