Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Chitralekha Gupta"'
Publikováno v:
IEEE/ACM Transactions on Audio, Speech, and Language Processing. 30:2280-2294
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb347b828bc249bb4c6d43f13b4d7763
https://doi.org/10.1109/taslp.2022.3190742
https://doi.org/10.1109/taslp.2022.3190742
Publikováno v:
IEEE/ACM Transactions on Audio, Speech, and Language Processing. 30:2422-2451
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0fc41939d4a4286cb7138b33ddd7a93
https://doi.org/10.1109/taslp.2022.3190732
https://doi.org/10.1109/taslp.2022.3190732
Publikováno v:
Proceedings of the 28th International Conference on Intelligent User Interfaces.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0cac87e76395cd1a7720b3f00efa335
https://doi.org/10.1145/3581641.3584083
https://doi.org/10.1145/3581641.3584083
Autor:
Suranga Chandima Nanayakkara, Masahiko Inami, Florian Mueller, Jochen Huber, Chitralekha Gupta, Christophe Jouffrais, Kai Kunze, Rakesh Patibanda, Samantha W T Chan, Moritz Alexander Messerschmidt
Publikováno v:
Augmented Humans Conference.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f71d01a2c4a4576d846924c69466265
https://doi.org/10.1145/3582700.3582729
https://doi.org/10.1145/3582700.3582729
Publikováno v:
IEEE/ACM Transactions on Audio, Speech, and Language Processing. 28:13-26
Automatic evaluation of singing quality can be done with the help of a reference singing or the digital sheet music of the song. However, such a standard reference is not always available. In this article, we propose a framework to rank a large pool
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e707b89ffb2d76496a3a1d6b08e2e2b1
https://doi.org/10.1109/taslp.2019.2947737
https://doi.org/10.1109/taslp.2019.2947737
Lyrics transcription of polyphonic music is challenging as the background music affects lyrics intelligibility. Typically, lyrics transcription can be performed by a two-step pipeline, i.e. a singing vocal extraction front end, followed by a lyrics t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d7fe23c5f108d97d237806e380b7f14
Lyrics transcription of polyphonic music is challenging not only because the singing vocals are corrupted by the background music, but also because the background music and the singing style vary across music genres, such as pop, metal, and hip hop,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8dd4b1fcce3f18e95f319aadc49feb55
Publikováno v:
Artificial Intelligence in Music, Sound, Art and Design ISBN: 9783031037887
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6160f06bb0f5378e1f1b7fae5b791c0
https://doi.org/10.1007/978-3-031-03789-4_20
https://doi.org/10.1007/978-3-031-03789-4_20
Publikováno v:
INTERSPEECH
Automatic lyrics to polyphonic audio alignment is a challenging task not only because the vocals are corrupted by background music, but also there is a lack of annotated polyphonic corpus for effective acoustic modeling. In this work, we propose (1)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb2acc86059bed30de19bd1e2ee1e103
https://doi.org/10.21437/interspeech.2019-1520
https://doi.org/10.21437/interspeech.2019-1520
Publikováno v:
ICASSP
Lyrics-to-audio alignment is to automatically align the lyrical words with the mixed singing audio (singing voice+musical accompaniment). Such alignment can be achieved with an automatic speech recognition (ASR) system. We propose to adapt the acoust
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1fc6c7c6d8a97b93e22060e5f10c47de
https://doi.org/10.1109/icassp.2019.8682582
https://doi.org/10.1109/icassp.2019.8682582