Name
Abstract | ||
|---|---|---|
Several studies have shown that the amplitude of the first rahmonic peak (RI) in the cepstrum is an indicator of hoarse voice quality. The cepstrum is obtained by taking the inverse Fourier Transform of the log-magnitude spectrum. In the present study, a number of spectral analysis processing steps are implemented, including period-synchronous and period-asynchronous analysis, as well as harmonic-synchronous and harmonic-asynchronous spectral band-limitation prior to computing the cepstrum. The analysis is applied to connected speech signals. The correlation between amplitude RI and perceptual ratings is examined for a corpus comprising 28 normophonic and 223 dysphonic speakers. One observes that the correlation between RI and perceptual ratings increases when the spectrum is band-limited prior to computing the cepstrum. In addition, comparisons are made with a popular cepstral cue which is the cepstral peak prominence (CPP). |
Year | Venue | Keywords |
|---|---|---|
2009 | INTERSPEECH 2009: 10TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2009, VOLS 1-5 | Voice analysis, cepstrum, first rahmonic, correlation analysis, connected disordered speech |
Field | DocType | Citations |
Hoarse voice quality,Connected speech,Pattern recognition,Computer science,Cepstrum,Speech recognition,Fourier transform,Correlation,Artificial intelligence,Cepstral analysis,Spectral analysis,Amplitude | Conference | 2 |
PageRank | References | Authors |
0.46 | 1 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ali Alpan | 1 | 15 | 3.84 |
| Jean Schoentgen | 2 | 127 | 43.46 |
| Y. Maryn | 3 | 14 | 2.81 |
| Francis Grenez | 4 | 82 | 26.07 |
| P. Murphy | 5 | 2 | 0.46 |