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Deep Neural Networks for Automatic Speech Processing: A Survey from Large Corpora to Limited Data., , and . CoRR, (2020)Automatic low-dimensional analysis of audio databases., , and . CBMI, page 556-559. IEEE, (2008)The goodness of pronunciation algorithm applied to disordered speech., , , , and . INTERSPEECH, page 1463-1467. ISCA, (2014)Analyse de l'effet de la réverbération sur la reconnaissance automatique de la parole (Analyzing how reverberation affects Automatic Speech Recognition)., , , , and . JEP-TALN-RECITAL (1), page 235-243. ATALA et AFCP, (2020)Modeling prosody for language identification on read and spontaneous speech., , , and . ICME, page 753-756. IEEE Computer Society, (2003)Unsupervised signal segmentation based on temporal spectral clustering., , and . EUSIPCO, page 1-5. IEEE, (2008)C2SI corpus: a database of speech disorder productions to assess intelligibility and quality of life in head and neck cancers., , , , , , , , , and 8 other author(s). Lang. Resour. Evaluation, 55 (1): 173-190 (2021)Automatic rhythm modeling for language identification., and . INTERSPEECH, page 2539-2542. ISCA, (2001)Rhythmic unit extraction and modelling for automatic language identification., , , and . Speech Commun., 47 (4): 436-456 (2005)Perceptual and Automatic Evaluations of the Intelligibility of Speech Degraded by Noise Induced Hearing Loss Simulation., , , , , and . INTERSPEECH, page 2953-2957. ISCA, (2018)