Improvement of automatic speech recognition systems utilizing 2D adaptive wavelet transformation applied to recurrence plot of speech trajectories
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Link
https://link.springer.com/content/pdf/10.1007/s11760-023-02921-4.pdf
Reference54 articles.
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3. Vieira, V.J., et al.: Exploiting nonlinearity of the speech production system for voice disorder assessment by recurrence quantification analysis. Chaos: An Interdiscip. J. Nonlinear Sci. 28(8), 085709 (2018)
4. Datta, A.K.: Nonlinearity in speech signal. In: Time Domain Representation of Speech Sounds, pp. 131–154. Springer (2018)
5. Shekofteh, Y., Almasganj, F.: Autoregressive modeling of speech trajectory transformed to the reconstructed phase space for ASR purposes. Digit. Signal Process. 23(6), 1923–1932 (2013)
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