Name
Abstract | ||
|---|---|---|
Even today, the speech generated by hidden Markov model (HMM)-based speech synthesis system (HTS) still has the buzziness due to the improper modelling of the excitation signal. This study proposes an efficient excitation modelling approach for improving the quality of HTS. In the proposed method, the residual signal obtained from inverse filter is parameterised as excitation features. HMMs are us... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1049/iet-spr.2017.0546 | IET Signal Processing |
Keywords | Field | DocType |
filtering theory,hidden Markov models,speech synthesis | Residual,Speech synthesis,Control theory,Algorithm,Excitation signal,Excitation,Hidden Markov model,Inverse filter,Mathematics | Journal |
Volume | Issue | ISSN |
12 | 4 | 1751-9675 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| M. Kiran Reddy | 1 | 3 | 2.11 |
| K. Sreenivasa Rao | 2 | 649 | 60.90 |