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Optimal event search using a structural cost function - improvement of structure to speech conversion.

, , , and . INTERSPEECH, page 2047-2050. ISCA, (2009)

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Cooking State Recognition based on Acoustic Event Detection., , and . CEA@ICMR, page 41-44. ACM, (2019)Preliminary Systematic Literature Review of Machine Learning System Development Process., , , , , , , and . CoRR, (2019)Voice conversion based on deep neural networks for time-variant linear transformations., , and . APSIPA, page 1259-1262. IEEE, (2017)A Revisit to Feature Handling for High-quality Voice Conversion Based on Gaussian Mixture Model., , , and . APSIPA, page 816-822. IEEE, (2018)A tandem connectionist model using combination of multi-scale spectro-temporal features for acoustic event detection., , , , and . ICASSP, page 4293-4296. IEEE, (2012)A measure of phonetic similarity to quantify pronunciation variation by using ASR technology., , , , , and . ICPhS, University of Glasgow, (2015)Experimental investigation on the efficacy of Affine-DTW in the quality of voice conversion., , , and . APSIPA, page 119-124. IEEE, (2019)Quality-diversity for Synthesizer Sound Matching., and . J. Inf. Process., (2023)Do learned speech symbols follow Zipf's law?, , , , and . CoRR, (2023)Comparing Participants' Brainwaves During Solo, Pair, and Mob Programming., , , and . XP, volume 419 of Lecture Notes in Business Information Processing, page 200-209. Springer, (2021)