Author of the publication

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Individuality-preserving voice conversion for articulation disorders based on non-negative matrix factorization., , , and . ICASSP, page 8037-8040. IEEE, (2013)Multiple Non-Negative Matrix Factorization for Many-to-Many Voice Conversion., , and . IEEE ACM Trans. Audio Speech Lang. Process., 24 (7): 1175-1184 (2016)A preliminary demonstration of exemplar-based voice conversion for articulation disorders using an individuality-preserving dictionary., , , and . EURASIP J. Audio Speech Music. Process., (2014)Small-parallel exemplar-based voice conversion in noisy environments using affine non-negative matrix factorization., , , , and . EURASIP J. Audio Speech Music. Process., (2015)Visual-to-speech conversion based on maximum likelihood estimation., , , and . MVA, page 518-521. IEEE, (2017)Dysarthric Speech Recognition Using Pseudo-Labeling, Self-Supervised Feature Learning, and a Joint Multi-Task Learning Approach., , , , and . IEEE Access, (2024)Multimodal exemplar-based voice conversion using lip features in noisy environments., , , and . INTERSPEECH, page 1159-1163. ISCA, (2014)Exemplar-based individuality-preserving voice conversion for articulation disorders in noisy environments., , , and . INTERSPEECH, page 3637-3641. ISCA, (2013)Individuality-Preserving Spectrum Modification for Articulation Disorders Using Phone Selective Synthesis., , , and . SLPAT@Interspeech, page 118-123. Association for Computational Linguistics, (2015)Speaker-Targeted Audio-Visual Speech Recognition Using a Hybrid CTC/Attention Model with Interference Loss., , , , and . ICASSP, page 251-255. IEEE, (2022)