Speech enhancement for pathological voice using time-frequency trajectory excitation modeling

Eunwoo Song; Jongyoub Ryu; Hong Goo Kang

doi:10.1109/APSIPA.2013.6694125

Speech enhancement for pathological voice using time-frequency trajectory excitation modeling

Eunwoo Song, Jongyoub Ryu, Hong Goo Kang

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

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.

Original language	English
Title of host publication	2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013
DOIs	https://doi.org/10.1109/APSIPA.2013.6694125
Publication status	Published - 2013
Event	2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013 - Kaohsiung, Taiwan, Province of China Duration: 2013 Oct 29 → 2013 Nov 1

Publication series

Name	2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013

Other

Other	2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013
Country	Taiwan, Province of China
City	Kaohsiung
Period	13/10/29 → 13/11/1

All Science Journal Classification (ASJC) codes

Information Systems
Signal Processing

Access to Document

10.1109/APSIPA.2013.6694125

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Song, E., Ryu, J., & Kang, H. G. (2013). Speech enhancement for pathological voice using time-frequency trajectory excitation modeling. In 2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013 [6694125] (2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013). https://doi.org/10.1109/APSIPA.2013.6694125

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title = "Speech enhancement for pathological voice using time-frequency trajectory excitation modeling",

abstract = "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.",

author = "Eunwoo Song and Jongyoub Ryu and Kang, {Hong Goo}",

year = "2013",

doi = "10.1109/APSIPA.2013.6694125",

language = "English",

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series = "2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013",

booktitle = "2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013",

note = "2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013 ; Conference date: 29-10-2013 Through 01-11-2013",

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Song, E, Ryu, J & Kang, HG 2013, Speech enhancement for pathological voice using time-frequency trajectory excitation modeling. in 2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013., 6694125, 2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013, 2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013, Kaohsiung, Taiwan, Province of China, 13/10/29. https://doi.org/10.1109/APSIPA.2013.6694125

Speech enhancement for pathological voice using time-frequency trajectory excitation modeling. / Song, Eunwoo; Ryu, Jongyoub; Kang, Hong Goo.

2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013. 2013. 6694125 (2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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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.

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Song E, Ryu J, Kang HG. Speech enhancement for pathological voice using time-frequency trajectory excitation modeling. In 2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013. 2013. 6694125. (2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013). https://doi.org/10.1109/APSIPA.2013.6694125