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Automatic Speech Recognition Systems for the Evaluation of Voice and Speech Disorders in Head and Neck Cancer.

, , , , , , , and . EURASIP J. Audio, Speech and Music Processing, (2010)

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Subtext Word Accuracy and Prosodic Features for Automatic Intelligibility Assessment., , , and . TSD, volume 11107 of Lecture Notes in Computer Science, page 473-481. Springer, (2018)Robust Automatic Evaluation of Intelligibility in Voice Rehabilitation Using Prosodic Analysis., , , and . TSD, volume 10415 of Lecture Notes in Computer Science, page 11-19. Springer, (2017)Influence of Reverberation on Automatic Evaluation of Intelligibility with Prosodic Features., , , and . TSD, volume 9924 of Lecture Notes in Computer Science, page 461-469. Springer, (2016)Automatic Speech Recognition Systems for the Evaluation of Voice and Speech Disorders in Head and Neck Cancer., , , , , , , and . EURASIP J. Audio, Speech and Music Processing, (2010)Low-light image enhancement of high-speed endoscopic videos using a convolutional neural network., , , , and . Med. Biol. Engineering and Computing, 57 (7): 1451-1463 (2019)Evaluation of Analytical Modeling Functions for the Phonation Onset Process., , , , and . Comp. Math. Methods in Medicine, (2016)Degrees of Freedom in a Vocal Fold Inverse Problem., , , , and . IWBBIO (1), volume 10208 of Lecture Notes in Computer Science, page 475-484. (2017)Language-Independent Age Estimation from Speech Using Phonological and Phonemic Features., , , , , , and . TSD, volume 9302 of Lecture Notes in Computer Science, page 165-173. Springer, (2015)