Name
Title | ||
|---|---|---|
A method utilizing window function frequency characteristics for noise-robust spectral pitch estimation |
Abstract | ||
|---|---|---|
A novel method for spectral-domain fundamental frequency (F0) estimation is proposed. The basis of this method is estimating F0 using the power spectrum of a windowed speech segment. For this purpose, a new transform is introduced. The prominent feature of this transform is that it estimates F0 from the speech segment power spectrum by exploiting the window function power spectrum. As a result, this transform is named the Window-Based transform. By comparison between the proposed method and the autocorrelation and the cepstral pitch estimation methods, the superiority of the proposed method under noisy environments is demonstrated. |
Year | Venue | Keywords |
|---|---|---|
2009 | EUSIPCO | cepstral analysis,correlation methods,frequency estimation,signal denoising,spectral-domain analysis,speech processing,autocorrelation method,cepstral pitch estimation method,noise-robust spectral pitch estimation,noisy environments,spectral-domain f0 estimation,spectral-domain fundamental frequency estimation,window function frequency characteristics,window-based transform,windowed speech segment power spectrum |
Field | DocType | ISBN |
Maximum entropy spectral estimation,Spectral density estimation,Fundamental frequency,Cepstrum,Algorithm,Speech recognition,Spectral density,Pitch detection algorithm,Mathematics,Autocorrelation,Window function | Conference | 978-161-7388-76-7 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Iman Haji Abolhassani | 1 | 0 | 0.34 |
| Douglas D. O'Shaughnessy | 2 | 398 | 84.79 |
| Sid-Ahmed Selouani | 3 | 15 | 5.71 |