Name
Title | ||
|---|---|---|
Modal and Nonmodal Voice Quality Classification Using Acoustic and Electroglottographic Features. |
Abstract | ||
|---|---|---|
The goal of this study was to investigate the performance of different feature types for voice quality classification using multiple classifiers. The study compared the COVAREP feature set; which included glottal source features, frequency warped cepstrum, and harmonic model features; against the mel-frequency cepstral coefficients (MFCCs) computed from the acoustic voice signal, acoustic-based gl... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TASLP.2017.2759002 | IEEE/ACM Transactions on Audio, Speech, and Language Processing |
Keywords | Field | DocType |
Biology,Signal processing,Auditory system,Harmonic analysis,Mel frequency cepstral coefficient,Acoustics,Classification,Electrocardiography | Mel-frequency cepstrum,Pattern recognition,Computer science,Cepstrum,Waveform,Support vector machine,Modal voice,Speech recognition,Artificial intelligence,Random forest,Modal,Mixture model | Journal |
Volume | Issue | ISSN |
25 | 12 | 2329-9290 |
Citations | PageRank | References |
1 | 0.37 | 25 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| michal borsky | 1 | 4 | 3.13 |
| Daryush D. Mehta | 2 | 152 | 13.61 |
| Jarrad H Van Stan | 3 | 13 | 3.64 |
| Jon Gudnason | 4 | 64 | 5.76 |