Papers

Detecting pathological speech using local and global characteristics of harmonic-to-noise ratio

International Conference
2011~2015
작성자
한혜원
작성일
2013-10-29 00:28
조회
289
Authors : Jung-Won Lee, Hong-Goo Kang, Samuel Kim, Yoonjae Lee

Year : 2013

Publisher / Conference : APSIPA

This paper proposes an efficient feature extraction method for automatic diagnosis systems to detect pathological subjects using continuous speech. Since continuous speech contains slow and rapid adjustments of vocal mechanisms which relate to initiations and terminations of voicing, the proposed algorithm utilizes both localized temporal characteristics and histogram-based global statistics of harmonic-to-noise ratio (HNR) to efficiently differentiate the key features from phonetic variation. Experimental results show that the proposed method improves the classification error rate by 11.2 \% (relative) compared to the conventional method using HNR.
전체 327
18 International Conference Soonho Baek, Hong-Goo Kang "Vector Taylor Series based HMM Adaptation for Generalized Cepstrum in Noisy Environment" in ASRU, 2013
17 International Conference Jung-Won Lee, Hong-Goo Kang, Samuel Kim, Yoonjae Lee "Detecting pathological speech using local and global characteristics of harmonic-to-noise ratio" in APSIPA, 2013
16 International Conference Eunwoo Song, Jongyoub Ryu, Hong-Goo Kang "Speech enhancement for pathological voice using time-frequency trajectory excitation modeling" in APSIPA, 2013
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