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Third-Order Moments of Filtered Speech Signals for Robust Speech Recognition.

, , and . NOLISP, volume 3817 of Lecture Notes in Computer Science, page 277-283. Springer, (2005)

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Sub-banded reconstructed phase spaces for speech recognition., , and . Speech Commun., 48 (7): 760-774 (2006)Increasing the Precision of Dysarthric Speech Intelligibility and Severity Level Estimate., , and . SPECOM, volume 12997 of Lecture Notes in Computer Science, page 670-679. Springer, (2021)Generalized Perceptual Features for Vocalization Analysis Across Multiple Species., , , , and . ICASSP (1), page 253-256. IEEE, (2006)An Adaptive Approach for Texture Modelling., and . ICIP (3), page 388-391. IEEE Computer Society, (1994)A combined sub-band and reconstructed phase space approach to phoneme classification., , and . NOLISP, page 17. ISCA, (2003)Comparison in Suprasegmental Characteristics between Typical and Dysarthric Talkers at Varying Severity Levels., , and . SpeD, page 52-56. IEEE, (2021)Physiologically-motivated feature extraction for speaker identification., and . ICASSP, page 1690-1694. IEEE, (2014)Perceptually motivated wavelet packet transform for bioacoustic signal enhancement, , and . Journal of the Acoustical Society of America, 124 (1): 316-327 (2008)Acoustic-to-Articulatory Inversion with Deep Autoregressive Articulatory-WaveNet., and . INTERSPEECH, page 3725-3729. ISCA, (2020)Residual Phase Cepstrum Coefficients with Application to Cross-lingual Speaker Verification., and . INTERSPEECH, page 1556-1559. ISCA, (2012)