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Evaluation of graph metrics for optimizing bin-based ontologically smoothed language models.

, , and . EUSIPCO, page 1906-1910. IEEE, (2016)

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Improving dysarthric speech recognition using empirical mode decomposition and convolutional neural network., , , and . EURASIP J. Audio Speech Music. Process., 2020 (1): 1 (2020)Comparative experiments to evaluate the use of auditory-based acoustic distinctive features and formant cues for automatic speech recognition using a multi-stream paradigm., , and . INTERSPEECH, page 2113-2116. ISCA, (2002)Speech enhancement using PCA and variance of the reconstruction error in distributed speech recognition., , and . ASRU, page 19-23. IEEE, (2007)Dysarthric Speech Classification Using Hierarchical Multilayer Perceptrons and Posterior Rhythmic Features., , , and . SOCO, volume 87 of Advances in Intelligent and Soft Computing, page 437-444. Springer, (2011)Residual Time-restricted Self-Attentive TDNN Speaker Embedding for Noisy and Far-field Conditions., , , and . CCECE, page 471-476. IEEE, (2022)Classification of the Neural Correlates of Mind Wandering States in EEG Signals., , , , and . TSP, page 126-129. IEEE, (2021)Radiological image classification using HMMs and Shape contexts., , , and . ISSPA, page 87-91. IEEE, (2012)Effects of discriminative training on the RACAD corpus of the French language spoken in the Canadian province of New-Brunswick., , and . ISSPA, page 695-699. IEEE, (2012)Frame recursive dynamic mean bias removal technique for robust environment-aware speech recognition in real world applications., , and . CCECE, page 1-5. IEEE, (2010)Blind speech separation using high order statistics., , , and . CCECE, page 670-673. IEEE, (2009)