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Segment selection method based on tonal validity evaluation using machine learning for concatenative speech synthesis.

, , and . ICASSP, page 4617-4620. IEEE, (2008)

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Voice conversion algorithm based on piecewise linear conversion rules of formant frequency and spectrum tilt., and . Speech Commun., 16 (2): 153-164 (1995)DNN-Based Speech Synthesis Using Speaker Codes., , and . IEICE Trans. Inf. Syst., 101-D (2): 462-472 (2018)Correlation Analysis of Acoustic Features with Perceptual Voice Quality Similarity for Similar Speaker Selection., , and . INTERSPEECH, page 2237-2240. ISCA, (2011)HMM-Based Emphatic Speech Synthesis Using Unsupervised Context Labeling., , , , , , and . INTERSPEECH, page 1849-1852. ISCA, (2011)Statistical model training technique for speech synthesis based on speaker class., , and . SSW, page 141-145. ISCA, (2013)Speech synthesis by optimum concatenation of phoneme segments., , and . SSW, page 39-42. ISCA, (1990)Introducing Speaker Vectors for Child Speech Synthesis in Neural Vocoders., , and . CISIS, volume 497 of Lecture Notes in Networks and Systems, page 538-547. Springer, (2022)Robust Gait Authentication Using Autoencoder and Decision Tree., and . ICANN (4), volume 11730 of Lecture Notes in Computer Science, page 698-702. Springer, (2019)Recording Script Design for Corpus-Based TTS System Based on Coverage of Various Phonetic Elements., , and . ICASSP (1), page 301-304. IEEE, (2005)Segment selection method based on tonal validity evaluation using machine learning for concatenative speech synthesis., , and . ICASSP, page 4617-4620. IEEE, (2008)