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Title: Non-Audible Murmur (NAM) Speech Recognition Using a Stethoscopic NAM Microphone
Authors: Panikos Heracleous
Yoshitaka Nakajima
Akinobu Lee
Hiroshi Saruwatari
Kiyohiro Shikano
Issue Date: Oct-2004
Start page: 1469
End page: 1472
Abstract: In this paper, we introduce the Stethoscopic Non-Audible Murmur (NAM) microphone, and we focus on its application in automatic speech recognition systems. The NAM microphone is attached behind the talker's ear, and can capture very quietly uttered murmur (NAM speech). It is applicable in automatic speech recognition systems, when privacy is important in human-machine communication. Moreover, since the NAM microphone receives the speech signal directly from the body, it shows robustness against the environmental noises. In addition to these, it might be also used in special systems (speech recognition, speech transform, etc.) for sound-impaired people. By applying adaptation techniques, we performed automatic speech recognition experiments for NAM speech. Using Maximum A Posteriori (MAP) adaptation, and a combination with Maximum Likelihood Linear Regression (MLLR) adaptation we achieved for a 20k vocabulary dictation system a 93.5% word accuracy, which is a very promising result.
Description: ICSLP2004: the 8th International Conference on Spoken Language Processing, October 4-8, 2004, Jeju Island, Korea.
Rights: Copyright 2004 ISCA
Text Version: Publisher
Appears in Collections:情報科学研究科 / Graduate School of Information Science

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