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Non-Audible Murmur (NAM) Recognition
Yoshitaka NAKAJIMA Hideki KASHIOKA Nick CAMPBELL Kiyohiro SHIKANO
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2006/01/01
Online ISSN: 1745-1361
Print ISSN: 0916-8532
Type of Manuscript: Special Section PAPER (Special Section on the 2004 IEICE Excellent Paper Award)
interface, speech recognition, Non-Audible Murmur recognition, NAM, wearable computing,
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We propose a new practical input interface for the recognition of Non-Audible Murmur (NAM), which is defined as articulated respiratory sound without vocal-fold vibration transmitted through the soft tissues of the head. We developed a microphone attachment, which adheres to the skin, by applying the principle of a medical stethoscope, found the ideal position for sampling flesh-conducted NAM sound vibration and retrained an acoustic model with NAM samples. Then using the Julius Japanese Dictation Toolkit, we tested the feasibility of using this method in place of an external microphone for analyzing air-conducted voice sound.