Abstract
The sinusoidal model has proven useful for representation and modification of speech and audio signal. One drawback, however, is that a sinusoidal model is typically derived using a fixed analysis frame size. It cannot guarantee an optimal spectral resolution to each sinusoidal parameter. In this paper, we propose a sinusoidal model using wavelet packet analysis, to obtain better frequency resolution at low frequencies and better time resolution at high frequencies and to estimate the sinusoidal parameters more accurately. Experiments show that the proposed model can achieve better performance than conventional model.
| Original language | English |
|---|---|
| Title of host publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Pages | 241-248 |
| Number of pages | 8 |
| Volume | 3658 LNAI |
| Publication status | Published - 2005 Dec 1 |
| Event | 8th International Conference on Text, Speech and Dialogue, TSD 2005 - Karlovy Vary, Czech Republic Duration: 2005 Sep 12 → 2005 Sep 15 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 3658 LNAI |
| ISSN (Print) | 03029743 |
| ISSN (Electronic) | 16113349 |
Other
| Other | 8th International Conference on Text, Speech and Dialogue, TSD 2005 |
|---|---|
| Country | Czech Republic |
| City | Karlovy Vary |
| Period | 05/9/12 → 05/9/15 |
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ASJC Scopus subject areas
- Computer Science(all)
- Biochemistry, Genetics and Molecular Biology(all)
- Theoretical Computer Science
Cite this
Kim, K., Hong, J., & Lim, J. I. (2005). Sinusoidal modeling using wavelet packet transform applied to the analysis and synthesis of speech signals. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3658 LNAI, pp. 241-248). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3658 LNAI).