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Automatic Intelligibility Assessment of Dysarthric Speech Using Phonologically-Structured Sparse Linear Model.

, , and . IEEE ACM Trans. Audio Speech Lang. Process., 23 (4): 694-704 (2015)

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Automatic detection of malicious sound using segmental two-dimensional mel-frequency cepstral coefficients and histograms of oriented gradients., , , and . ACM Multimedia, page 887-890. ACM, (2010)Automatic Intelligibility Assessment of Dysarthric Speech Using Phonologically-Structured Sparse Linear Model., , and . IEEE ACM Trans. Audio Speech Lang. Process., 23 (4): 694-704 (2015)Speaker-Independent Silent Speech Recognition From Flesh-Point Articulatory Movements Using an LSTM Neural Network., , , and . IEEE ACM Trans. Audio Speech Lang. Process., 25 (12): 2323-2336 (2017)Dysarthric Speech Recognition Using Kullback-Leibler Divergence-Based Hidden Markov Model., , and . INTERSPEECH, page 2671-2675. ISCA, (2016)Speech emotion classification using tree-structured sparse logistic regression., , , and . INTERSPEECH, page 1541-1545. ISCA, (2015)Robust sound event classification using LBP-HOG based bag-of-audio-words feature representation., , and . INTERSPEECH, page 3325-3329. ISCA, (2015)Automatic extraction of pornographic contents using radon transform based audio features., and . CBMI, page 205-210. IEEE, (2011)Cross-acoustic transfer learning for sound event classification., , and . ICASSP, page 2504-2508. IEEE, (2016)Articulation-to-Speech Synthesis Using Articulatory Flesh Point Sensors' Orientation Information., , , , , and . INTERSPEECH, page 3152-3156. ISCA, (2018)Automatic Assessment of Dysarthric Speech Intelligibility Based on Selected Phonetic Quality Features., and . ICCHP (2), volume 7383 of Lecture Notes in Computer Science, page 447-450. Springer, (2012)