TY - GEN
T1 - Speech enhancement for pathological voice using time-frequency trajectory excitation modeling
AU - Song, Eunwoo
AU - Ryu, Jongyoub
AU - Kang, Hong Goo
PY - 2013
Y1 - 2013
N2 - This paper proposes a speech enhancement algorithm for pathological voices using a time-frequency trajectory excitation (TFTE) modeling. The TFTE model has a capability of delicately controlling the periodic and non-periodic excitation components by taking a single pitch based decomposition process. By investigating the difference of frequency characteristics between pathological and normal voices, this paper proposes an enhancement algorithm which can efficiently reduce the breathiness of the pathological voice while maintaining the identity of the speaker. Subjective test results are presented to verify the effectiveness of the proposed algorithm.
AB - This paper proposes a speech enhancement algorithm for pathological voices using a time-frequency trajectory excitation (TFTE) modeling. The TFTE model has a capability of delicately controlling the periodic and non-periodic excitation components by taking a single pitch based decomposition process. By investigating the difference of frequency characteristics between pathological and normal voices, this paper proposes an enhancement algorithm which can efficiently reduce the breathiness of the pathological voice while maintaining the identity of the speaker. Subjective test results are presented to verify the effectiveness of the proposed algorithm.
UR - http://www.scopus.com/inward/record.url?scp=84893315868&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84893315868&partnerID=8YFLogxK
U2 - 10.1109/APSIPA.2013.6694125
DO - 10.1109/APSIPA.2013.6694125
M3 - Conference contribution
AN - SCOPUS:84893315868
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 -