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ML Parameter Generation with a Reformulated MGE Training Criterion - Participation in the Voice Conversion Challenge 2016.

, , , , , , , , , , and . INTERSPEECH, page 1662-1666. ISCA, (2016)

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Speaker adaptation using only vocalic segments via frequency warping., , , and . INTERSPEECH, page 2764-2768. ISCA, (2015)Study of the Effect of Reducing Training Data in Speech Synthesis Adaptation Based on Frequency Warping., , , and . IberSPEECH, volume 10077 of Lecture Notes in Computer Science, page 3-13. (2016)Fine Vocoder Tuning for HMM-Based Speech Synthesis: Effect of the Analysis Window Length., , , and . IberSPEECH, volume 8854 of Lecture Notes in Computer Science, page 21-29. Springer, (2014)Personalized synthetic voices for speaking impaired: website and app., , , , , , , , , and 4 other author(s). INTERSPEECH, page 1251-1254. ISCA, (2015)Towards Physically Interpretable Parametric Voice Conversion Functions., , , , and . NOLISP, volume 7911 of Lecture Notes in Computer Science, page 75-82. Springer, (2013)ML Parameter Generation with a Reformulated MGE Training Criterion - Participation in the Voice Conversion Challenge 2016., , , , , , , , , and 1 other author(s). INTERSPEECH, page 1662-1666. ISCA, (2016)New method for rapid vocal tract length adaptation in HMMbased speech synthesis., , , , and . SSW, page 125-128. ISCA, (2013)Automatic Speaker Adaptation Assessment Based on Objective Measures for Voice Banking Donors., , , , and . IberSPEECH, ISCA, (2021)Exploring Fusion Methods and Feature Space for the Classification of Paralinguistic Information., , , , , , and . INTERSPEECH, page 3517-3521. ISCA, (2017)