Complex Cepstrum-based Decomposition of Speech for Glottal Source Estimation
| Autor: | Thomas Drugman, Baris Bozkurt, Thierry Dutoit |
|---|---|
| Přispěvatelé: | Bozkurt, Barış, Izmir Institute of Technology. Electronics and Communication Engineering |
| Rok vydání: | 2019 |
| Předmět: |
FOS: Computer and information sciences
Speech production Sound (cs.SD) Computer Science - Computation and Language Speech communication Computer science Speech recognition Phase (waves) Glottal source estimation Signal Computer Science - Sound Homomorphic processing Computer Science::Sound Audio and Speech Processing (eess.AS) Component (UML) Cepstrum Decomposition (computer science) FOS: Electrical engineering electronic engineering information engineering Speech analysis Deconvolution Mel-frequency cepstrum Computation and Language (cs.CL) Electrical Engineering and Systems Science - Audio and Speech Processing |
| Zdroj: | INTERSPEECH Scopus-Elsevier |
| DOI: | 10.48550/arxiv.1912.12602 |
| Popis: | Homomorphic analysis is a well-known method for the separation of non-linearly combined signals. More particularly, the use of complex cepstrum for source-tract deconvolution has been discussed in various articles. However there exists no study which proposes a glottal flow estimation methodology based on cepstrum and reports effective results. In this paper, we show that complex cepstrum can be effectively used for glottal flow estimation by separating the causal and anticausal components of a windowed speech signal as done by the Zeros of the Z-Transform (ZZT) decomposition. Based on exactly the same principles presented for ZZT decomposition, windowing should be applied such that the windowed speech signals exhibit mixed-phase characteristics which conform the speech production model that the anticausal component is mainly due to the glottal flow open phase. The advantage of the complex cepstrum-based approach compared to the ZZT decomposition is its much higher speed. Fonds National de la Recherche Scientifique |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|