Zobrazeno 1 - 6
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pro vyhledávání: '"Naoyuki Onoe"'
Many existing works on voice conversion (VC) tasks use automatic speech recognition (ASR) models for ensuring linguistic consistency between source and converted samples. However, for the low-data resource domains, training a high-quality ASR remains
Externí odkaz:
http://arxiv.org/abs/2305.15055
Publikováno v:
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC).
Emotion Recognition in Conversations (ERC) is crucial in developing sympathetic human-machine interaction. In conversational videos, emotion can be present in multiple modalities, i.e., audio, video, and transcript. However, due to the inherent chara
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c7f14318033a747420477a38ca9f824
http://arxiv.org/abs/2206.02187
http://arxiv.org/abs/2206.02187
Autor:
Joshua J. Engelsma, Atsushi Okubo, Additya Popli, Naoyuki Onoe, Saraansh Tandon, Anoop M. Namboodiri
Publikováno v:
IJCB
Typical fingerprint recognition systems are comprised of a spoof detection module and a subsequent recognition module, running one after the other. In this paper, we reformulate the workings of a typical fingerprint recognition system. In particular,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41c643636ee20da56b753fa800eb4861
http://arxiv.org/abs/2104.03255
http://arxiv.org/abs/2104.03255
Publikováno v:
Proceedings of IEEE/ASME International Conference on Advanced Intelligent Mechatronics.
Although algorithmic sound syntheses, such as a granular synthesis and a physical model based synthesis, have been studied actively and have come into practical use, the development of a human-machine interface is not sufficient for the translation o
Conference
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