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Maximum Entropy-Based Reinforcement Learning Using a Confidence Measure in Speech Recognition for Telephone Speech.

, , , , and . IEEE Trans. Speech Audio Process., 18 (5): 1041-1052 (2010)

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On Reducing Harmonic and Sampling Distortion in Vocal Tract Length Normalization., , , , and . IEEE Trans. Speech Audio Process., 21 (1): 108-119 (2013)LSTM network for the detection of P and S waves in seismic signals from the Nevados de Chillán volcano (Chile)., , , , and . LA-CCI, page 1-6. IEEE, (2021)Feature Analysis for the Classification of Volcanic Seismic Events Using Support Vector Machines., , , , , , , and . MICAI (2), volume 8857 of Lecture Notes in Computer Science, page 160-171. Springer, (2014)Evaluation of the Vocal Tract Length Normalization Based Classifiers for Speaker Verification., , , and . Int. J. Recent Contributions Eng. Sci. IT, 4 (4): 41-44 (2016)Confidence based multiple classifier fusion in speaker verification., , , and . Pattern Recognit. Lett., 29 (7): 957-966 (2008)Unsupervised re-scoring of observation probability based on maximum entropy criterion by using confidence measure with telephone speech., , , and . INTERSPEECH, page 1016-1019. ISCA, (2008)On comparing and combining intra-speaker variability compensation and unsupervised model adaptation in speaker verification., , , and . INTERSPEECH, page 770-773. ISCA, (2007)Improving the Classification of Volcanic Seismic Events Extracting New Seismic and Speech Features., , , , , , and . CIARP, volume 10657 of Lecture Notes in Computer Science, page 177-185. Springer, (2017)A Signal Processing Perspective of Monitoring Active Volcanoes Applications Corner., , , , and . IEEE Signal Process. Mag., 36 (6): 125-163 (2019)Speaker verification with multiple classifier fusion using Bayes based confidence measure., , , and . INTERSPEECH, page 2041-2044. ISCA, (2007)