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Sub-band text-to-speech combining sample-based spectrum with statistically generated spectrum.

, , , , , and . INTERSPEECH, page 264-268. ISCA, (2015)

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A Japanese text-to-speech system based on multi-form units with consideration of frequency distribution in Japanese., , , and . EUROSPEECH, page 839-842. ISCA, (1999)Unit selection using k-nearest neighbor search for concatenative speech synthesis., and . IUCS, volume 398 of ACM International Conference Proceeding Series, page 379-382. ACM, (2009)WebMessenger: a new framework to produce multimedia content by combining synthesized speech and moving pictures in the WWW environment., , and . MMSP, page 611-616. IEEE, (1999)Emphasized Accent Phrase Prediction from Text for Advertisement Text-To-Speech Synthesis., , and . PACLIC, page 170-177. The PACLIC 28 Organizing Committee and PACLIC Steering Committee / ACL / Department of Linguistics, Faculty of Arts, Chulalongkorn University, (2014)Sub-band text-to-speech combining sample-based spectrum with statistically generated spectrum., , , , , and . INTERSPEECH, page 264-268. ISCA, (2015)Which resemblance is useful to predict phrase boundary rise labels for Japanese expressive text-to-speech synthesis, numerically-expressed stylistic or distribution-based semantic?, , , and . INTERSPEECH, page 1047-1051. ISCA, (2013)Objective Evaluation Using Association Between Dimensions Within Spectral Features for Statistical Parametric Speech Synthesis., , and . INTERSPEECH, page 337-341. ISCA, (2016)Recording Script Design for Corpus-Based TTS System Based on Coverage of Various Phonetic Elements., , and . ICASSP (1), page 301-304. IEEE, (2005)Robust Gait Authentication Using Autoencoder and Decision Tree., and . ICANN (4), volume 11730 of Lecture Notes in Computer Science, page 698-702. Springer, (2019)Segment selection method based on tonal validity evaluation using machine learning for concatenative speech synthesis., , and . ICASSP, page 4617-4620. IEEE, (2008)