Analysis of algorithms to estimate glottal closure instants from speech signals
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Vision and Pattern Recognition,Linguistics and Language,Human-Computer Interaction,Language and Linguistics,Software
Link
https://link.springer.com/content/pdf/10.1007/s10772-020-09752-5.pdf
Reference52 articles.
1. Alku, P. (1992). Glottal wave analysis with pitch synchronous iterative adaptive inverse filtering. Speech Communication, 11(2), 109–118.
2. Ananthapadmanabha, T. V., & Yegnanarayana, B. (1979). Epoch extraction from linear prediction residual for identification of closed glottis interval. IEEE Transactions on Acoustics, Speech and Signal Processing, 27(4), 309–319.
3. Anushiya Rachel, G., Sreenidhi, S., Vijayalakshmi, P., & Nagarajan, T. (2014). Incorporation of happiness into neutral speech by modifying emotive-keywords. In Proceedings of the IEEE region 10 conference (TENCON) (pp. 1–6).
4. Anushiya Rachel, G., Vijayalakshmi, P., & Nagarajan, T. (2015). Estimation of glottal closure instants from telephone speech using a group delay-based approach that considers speech signal as a spectrum. In Proceedings of INTERSPEECH (pp. 1181–1185).
5. Anushiya Rachel, G., Sherlin Solomi, V., Naveenkumar, K., Vijayalakshmi, P., & Nagarajan, T. (2015). A small-footprint context-independent HMM-based synthesizer for Tamil. International Journal of Speech Technology, 18(3), 405–418.
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