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Title: Unvoiced Speech Recognition Using Tissue-conductive Acoustic Sensor
Authors: Panikos Heracleous
Tomomi Kaino
Hiroshi Saruwatari
Kiyohiro Shikano
Issue Date: Jan-2007
Publisher: Hindawi Publishing Corporation/Springer
Journal Title: EURASIP Journal on Advances in Signal Processing
Volume: 2007
Issue: 1
Start page: 56
End page: 56
Article Number: 094068
Abstract: We present the use of stethoscope and silicon NAM (nonaudible murmur) microphones in automatic speech recognition. NAM microphones are special acoustic sensors, which are attached behind the talker's ear and can capture not only normal (audible) speech, but also very quietly uttered speech (nonaudible murmur). As a result, NAM microphones can be applied in automatic speech recognition systems when privacy is desired in human-machine communication. Moreover, NAM microphones show robustness against noise and they might be used in special systems (speech recognition, speech transform, etc.) for sound-impaired people. Using adaptation techniques and a small amount of training data, we achieved for a 20 k dictation task a 93.9% word accuracy for nonaudible murmur recognition in a clean environment. In this paper, we also investigate nonaudible murmur recognition in noisy environments and the effect of the Lombard reflex on nonaudible murmur recognition. We also propose three methods to integrate audible speech and nonaudible murmur recognition using a stethoscope NAM microphone with very promising results.
ISSN: 1687-6172
Rights: Copyright (C) 2007 Hindawi Publishing Corporation/Springer.
Text Version: publisher
Publisher DOI: 10.1155/2007/94068
Appears in Collections:情報科学研究科 / Graduate School of Information Science

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