Name
Abstract | ||
|---|---|---|
In this paper, we present a robust pitch estimation algorithm with the combination of wavelet transform (WT) and variance analysis (VA) for noisy speech. The technique uses the discrete wavelet transform to extract the wavelet parameters of the speech in the fundamental frequency band, and then performs VA to generate a variance statistical distribution function of the wavelet parameters. Finally, peak detection is applied to extract the pitch period. The simulation results show that the proposed method can give a superior accuracy relative to some of the existing methods from high to very low signal-to-noise ratio (SNR) levels in white noise, pink noise and babble noise. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1016/j.sigpro.2009.01.005 | Signal Processing |
Keywords | Field | DocType |
pitch estimation,variance analysis,pink noise,robust pitch estimation algorithm,wavelet parameter,pitch period,wavelet transform,noisy speech,wavelet variance analysis model,babble noise,discrete wavelet,white noise,variance statistical distribution function,fundamental frequency,statistical distribution,signal to noise ratio,discrete wavelet transform | Control theory,White noise,Discrete wavelet transform,Artificial intelligence,Wavelet packet decomposition,Wavelet,Wavelet transform,Pattern recognition,Pink noise,Speech recognition,Cascade algorithm,Stationary wavelet transform,Mathematics | Journal |
Volume | Issue | ISSN |
89 | 6 | Signal Processing |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| WEI XiaoPeng | 1 | 328 | 45.75 |
| Lasheng Zhao | 2 | 0 | 0.68 |
| Qiang Zhang | 3 | 292 | 45.54 |
| Jing Dong | 4 | 0 | 1.01 |