TY - GEN
T1 - Detecting pathological speech using local and global characteristics of harmonic-to-noise ratio
AU - Lee, Jung Won
AU - Kang, Hong Goo
AU - Kim, Samuel
AU - Lee, Yoonjae
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84893317850&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84893317850&partnerID=8YFLogxK
U2 - 10.1109/APSIPA.2013.6694115
DO - 10.1109/APSIPA.2013.6694115
M3 - Conference contribution
AN - SCOPUS:84893317850
SN - 9789869000604
T3 - 2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013
BT - 2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013
T2 - 2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013
Y2 - 29 October 2013 through 1 November 2013
ER -