Phase characteristics of vocal tract filter can distinguish speakers

Autor: Masahiro Okada, Hiroshi Ito

Publikováno v: Frontiers in Applied Mathematics and Statistics, Vol 9 (2023)

IntroductionSpeaker recognition has been performed by considering individual variations in the power spectrograms of speech, which reflect the resonance phenomena in the speaker's vocal tract filter. In recent years, phase-based features have been us

Externí odkaz: https://doaj.org/article/16fc63f013244088a8e1913ef56804b0

Speech Acoustic Modelling from Raw Phase Spectrum

Autor: Steve Renals, Zoran Cvetkovic, Peter Bell, Erfan Loweimi

Publikováno v: ICASSP
Loweimi, E, Cvetkovic, Z, Bell, P & Renals, S 2021, Speech Acoustic Modelling From Raw Phase Spectrum . in ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . Institute of Electrical and Electronics Engineers (IEEE), pp. 6738-6742, 46th IEEE International Conference on Acoustics, Speech and Signal Processing, Toronto, Ontario, Canada, 6/06/21 . https://doi.org/10.1109/ICASSP39728.2021.9413727
Loweimi, E, Cvetkovic, Z, Bell, P & Renals, S 2021, ' Speech acoustic modelling from raw phase spectrum ', ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing-Proceedings, vol. 2021-June, pp. 6738-6742 . https://doi.org/10.1109/ICASSP39728.2021.9413727

Magnitude spectrum-based features are the most widely employed front-ends for acoustic modelling in automatic speech recognition (ASR) systems. In this paper, we investigate the possibility and efficacy of acoustic modelling using the raw short-time

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::28dbbc2dc4016cd156ca8f7d30470232
https://doi.org/10.1109/icassp39728.2021.9413727

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