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A Signal Processing Perspective of Monitoring Active Volcanoes Applications Corner.

, , , , and . IEEE Signal Process. Mag., 36 (6): 125-163 (2019)

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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)On Reducing Harmonic and Sampling Distortion in Vocal Tract Length Normalization., , , , and . IEEE Trans. Audio, Speech & Language Processing, 21 (1): 108-119 (2013)An improved DNN-based spectral feature mapping that removes noise and reverberation for robust automatic speech recognition., , , , , , and . CoRR, (2018)Unsupervised re-scoring of observation probability in viterbi based on reinforcement learning by using confidence measure and HMM neighborhood., , , and . INTERSPEECH, page 1733-1736. ISCA, (2007)Unsupervised intra-speaker variability compensation based on Gestalt and model adaptation in speaker verification with telephone speech., , , and . Speech Communication, 50 (11-12): 953-964 (2008)Confidence based multiple classifier fusion in speaker verification., , , and . Pattern Recognition Letters, 29 (7): 957-966 (2008)Evaluation of the Vocal Tract Length Normalization Based Classifiers for Speaker Verification., , , and . iJES, 4 (4): 41-44 (2016)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)