Speaker/speech recognition using microphone arrays and neural networks

Qiguang Lin; ChiWei Che; Ea-Ee Jan; James L. Flanagan

doi:10.1117/12.191874

25 October 1994 Speaker/speech recognition using microphone arrays and neural networks

Qiguang Lin, ChiWei Che, Ea-Ee Jan, James L. Flanagan

Proceedings Volume 2277, Automatic Systems for the Identification and Inspection of Humans; (1994) https://doi.org/10.1117/12.191874
Event: SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, 1994, San Diego, CA, United States

Abstract

Hands-free operation of speech processing equipment is sometimes desired so that the user is unencumbered by hand-held or body-worn microphones. This paper explores the use of array microphones and neural networks (MANN) for robust speech/speaker recognition in a reverberant and noisy environment. Microphone arrays provide high-quality, hands-free sound capture at distances, and neural network processors compensate for environmental interference by transforming speech features of the array input to those of close-talking microphone input. The MANN system is evaluated using both computer-simulated degraded speech and real- room collected speech. It is found that the MANN system is capable of elevating recognition accuracies under adverse conditions, such as room reverberation, noise interference, and mismatch between the training and testing conditions, to levels comparable to those obtained with close-talking microphone input under a matched training and testing condition.

Citation Download Citation

Qiguang Lin, ChiWei Che, Ea-Ee Jan, and James L. Flanagan "Speaker/speech recognition using microphone arrays and neural networks", Proc. SPIE 2277, Automatic Systems for the Identification and Inspection of Humans, (25 October 1994); https://doi.org/10.1117/12.191874

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