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Introducing the Discrete Morphlet Transform and its Applications for Voice Conversion.

, , and . ISM, page 530-532. IEEE Computer Society, (2011)

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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).. Inf. Fusion, (2018)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)Genetic Algorithm for Feature Selection Applied to Financial Time Series Monotonicity Prediction: Experimental Cases in Cryptocurrencies and Brazilian Assets., , , , , , , and . Entropy, 26 (3): 177 (March 2024)Use of Paraconsistent Feature Engineering to support the Long Term Feature choice for Speaker Verification., , and . FLAIRS, (2021)Time-frequency relevant features for critical articulators movement inference., , and . EUSIPCO, page 2802-2806. IEEE, (2012)Music Genre Classification Based on Entropy and Fractal Lacunarity., , , , and . ISM, page 533-536. IEEE Computer Society, (2011)Discrete Wavelet Transform and Support Vector Machine Applied to Pathological Voice Signals Identification., , , and . ISM, page 785-789. IEEE Computer Society, (2005)Metaheuristic Algorithms for Enhancing Multicepstral Representation in Voice Spoofing Detection: An Experimental Approach., , , , , and . ICSI (1), volume 14788 of Lecture Notes in Computer Science, page 247-262. Springer, (2024)On the Determination of Epsilon during Discriminative GMM Training., , , , , , , , , and . ISM, page 362-364. IEEE Computer Society, (2010)