Predictive power of cepstral coefficients and spectral moments in the classification of Azerbaijani fricatives
- This study compares the classification of Azerbaijani fricatives based on two sets of features: (a) spectral moments, spectral peak, amplitude, duration, and (b) cepstral coefficients employing Hidden Markov Models to divide each fricative into three regions such that the variances of the measures within each region are minimized. The cepstral coefficients were found to be more reliable predictors in the classification of all nine Azerbaijani fricatives and the cepstral measures yielded highly successful classification rates (91.21% across both genders) in the identification of the full set of fricatives of Azerbaijani.
| Author details: | Payam Ghaffarvand MokariORCiD, Nasim Mahdinezhad SardhaeiORCiD |
|---|---|
| DOI: | https://doi.org/10.1121/10.0000830 |
| ISSN: | 0001-4966 |
| ISSN: | 1520-8524 |
| Pubmed ID: | https://pubmed.ncbi.nlm.nih.gov/32237821 |
| Title of parent work (English): | The journal of the Acoustical Society of America |
| Publisher: | American Institute of Physics |
| Place of publishing: | Melville |
| Publication type: | Article |
| Language: | English |
| Date of first publication: | 2020/03/05 |
| Publication year: | 2020 |
| Release date: | 2023/03/22 |
| Volume: | 147 |
| Issue: | 3 |
| Number of pages: | 7 |
| First page: | EL228 |
| Last Page: | EL234 |
| Organizational units: | Humanwissenschaftliche Fakultät / Strukturbereich Kognitionswissenschaften / Department Linguistik |
| DDC classification: | 5 Naturwissenschaften und Mathematik / 53 Physik / 530 Physik |
| Peer review: | Referiert |
