Abstract
This paper proposes an improved time-frequency trajectory excitation (TFTE) modeling method for a statistical parametric speech synthesis system. The proposed approach overcomes the dimensional variation problem of the training process caused by the inherent nature of the pitch-dependent analysis paradigm. By reducing the redundancies of the parameters using predicted average block coefficients (PABC), the proposed algorithm efficiently models excitation, even if its dimension is varied. Objective and subjective test results verify that the proposed algorithm provides not only robustness to the training process but also naturalness to the synthesized speech.
| Original language | English |
|---|---|
| Title of host publication | 2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 4949-4953 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781467369978 |
| DOIs | |
| Publication status | Published - 2015 Aug 4 |
| Event | 40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Brisbane, Australia Duration: 2014 Apr 19 → 2014 Apr 24 |
Publication series
| Name | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
|---|---|
| Volume | 2015-August |
| ISSN (Print) | 1520-6149 |
Other
| Other | 40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 |
|---|---|
| Country | Australia |
| City | Brisbane |
| Period | 14/4/19 → 14/4/24 |
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All Science Journal Classification (ASJC) codes
- Software
- Signal Processing
- Electrical and Electronic Engineering
Cite this
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Improved time-frequency trajectory excitation modeling for a statistical parametric speech synthesis system. / Song, Eunwoo; Joo, Young Sun; Kang, Hong Goo.
2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. p. 4949-4953 7178912 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 2015-August).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Improved time-frequency trajectory excitation modeling for a statistical parametric speech synthesis system
AU - Song, Eunwoo
AU - Joo, Young Sun
AU - Kang, Hong Goo
PY - 2015/8/4
Y1 - 2015/8/4
N2 - This paper proposes an improved time-frequency trajectory excitation (TFTE) modeling method for a statistical parametric speech synthesis system. The proposed approach overcomes the dimensional variation problem of the training process caused by the inherent nature of the pitch-dependent analysis paradigm. By reducing the redundancies of the parameters using predicted average block coefficients (PABC), the proposed algorithm efficiently models excitation, even if its dimension is varied. Objective and subjective test results verify that the proposed algorithm provides not only robustness to the training process but also naturalness to the synthesized speech.
AB - This paper proposes an improved time-frequency trajectory excitation (TFTE) modeling method for a statistical parametric speech synthesis system. The proposed approach overcomes the dimensional variation problem of the training process caused by the inherent nature of the pitch-dependent analysis paradigm. By reducing the redundancies of the parameters using predicted average block coefficients (PABC), the proposed algorithm efficiently models excitation, even if its dimension is varied. Objective and subjective test results verify that the proposed algorithm provides not only robustness to the training process but also naturalness to the synthesized speech.
UR - http://www.scopus.com/inward/record.url?scp=84946032846&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84946032846&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2015.7178912
DO - 10.1109/ICASSP.2015.7178912
M3 - Conference contribution
AN - SCOPUS:84946032846
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 4949
EP - 4953
BT - 2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
ER -