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Invited paper: Automatic speech recognition: History, methods and challenges.

. Pattern Recognit., 41 (10): 2965-2979 (2008)

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Perceptual improvement of Wiener filtering employing a post-filter., and . Digit. Signal Process., 21 (1): 54-65 (2011)The masking of narrowband noise by broadband harmonic complex sounds and implications for the processing of speech sounds., and . Speech Commun., 14 (2): 103-118 (1994)Automatic and reliable estimation of glottal closure instant and period., and . IEEE Trans. Acoust. Speech Signal Process., 37 (12): 1805-1815 (1989)Acoustic Analysis for Automatic Speech Recognition.. Proc. IEEE, 101 (5): 1038-1053 (2013)Smoothed Nonlinear Energy Operator-Based Amplitude Modulation Features for Robust Speech Recognition., , and . NOLISP, volume 7911 of Lecture Notes in Computer Science, page 168-175. Springer, (2013)Review of analysis methods for speech applications.. Speech Commun., (June 2023)Interpolative variable frame rate transmission of speech features for distributed speech recognition., , , and . ASRU, page 591-595. IEEE, (2007)Automatic speech recognition based on cepstral coefficients and a mel-based discrete energy operator., and . ICASSP, page 973-976. IEEE, (1998)Specific language modelling for new-word detection in continuous-speech recognition., and . ICASSP, page 321-324. IEEE, (1998)Log-Energy Dynamic Range Normalizaton for Robust Speech Recognition., and . ICASSP (1), page 245-248. IEEE, (2005)