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Neural Network Based Adaptive Microphone Array System for Speech Enhancement
Ansvarlig organisasjon
1998 (engelsk)Konferansepaper, Publicerat paper (Fagfellevurdert) Published
Abstract [en]

Presents a microphone array system for use in handsfree mobile telephone equipment. The array is based on a fast and efficient “on-site” and “self- calibration” scheme. The performance in suppressing the interior car cabin noise and the far-end speech is approximately 17 dB, respectively, while maintaining the near-end speaker level. The near-end signal is almost undistorted. The performance of two different algorithms, normalized least-mean-square (NLMS) and fully connected backpropagation supervised neural network (MLP-NN) are evaluated. The proposed microphone array calibration scheme can also be used in other situations such as speech recognition devices.

sted, utgiver, år, opplag, sider
Anchorage, USA, 1998.
Emneord [en]
acoustic transducer arrays, adaptive filters, backpropagation, calibration, echo suppression, land mobile radio, least mean squares methods, microphones, multilayer perceptrons, radio equipment, speech enhancement, telecommunication computing
HSV kategori
Identifikatorer
URN: urn:nbn:se:bth-9539ISI: 000074493400397Lokal ID: oai:bth.se:forskinfoCCD949AF83804A36C1256C6A004A623DISBN: 0-7803-4859-1 (tryckt)OAI: oai:DiVA.org:bth-9539DiVA, id: diva2:837410
Konferanse
IEEE World Congress on Computational Intelligence
Tilgjengelig fra: 2012-09-18 Laget: 2002-11-07 Sist oppdatert: 2015-06-30bibliografisk kontrollert

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Dahl, MattiasClaesson, Ingvar

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Totalt: 221 treff
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