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Time-frequency relevant features for critical articulators movement inference., , and . EUSIPCO, page 2802-2806. IEEE, (2012)Autoregressive decomposition and pole tracking applied to vocal fold nodule signals., , , , , , , , and . Pattern Recognition Letters, 28 (11): 1360-1367 (2007)A neural-wavelet architecture for voice conversion., , , , , , and . Neurocomputing, 71 (1-3): 174-180 (2007)Corrigendum to Ä tutorial on signal energy and its applications" Neurocomputing 179 (29 February 2016) 264-282.. Neurocomputing, (2016)Practical and Useful Tips on Discrete Wavelet Transforms sp Tips & Tricks.. IEEE Signal Process. Mag., 32 (3): 162-166 (2015)Fusing time, frequency and shape-related information: Introduction to the Discrete Shapelet Transform's second generation (DST-II).. Information Fusion, (2018)Discrete Wavelet Transform and Support Vector Machine Applied to Pathological Voice Signals Identification., , , and . ISM, page 785-789. IEEE Computer Society, (2005)Music Genre Classification Based on Entropy and Fractal Lacunarity., , , , and . ISM, page 533-536. IEEE Computer Society, (2011)Development of a support vector machine-based navigation system for driving a mobile robot through paths in plantations., , , and . IECON, page 1489-1494. IEEE, (2012)Spoken Document Summarization Based on Dynamic Time Warping and Wavelets., , , , , , , and . Int. J. Semantic Computing, 1 (3): 347-357 (2007)