Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Beici Liang"'
Publikováno v:
IJCNN
Singer recognition aims to automatically recognize the singer of a given recording. Compared to spoken voices, singing voice is characterized by a much higher degree of vocal style. The task becomes more challenging when it operates on numerous singe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::33293e545831203ce9d236299fcb7c27
https://doi.org/10.1109/ijcnn52387.2021.9533911
https://doi.org/10.1109/ijcnn52387.2021.9533911
Detecting piano pedalling techniques in polyphonic music remains a challenging task in music information retrieval. While other piano-related tasks, such as pitch estimation and onset detection, have seen improvement through applying deep learning me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a22947fb0ab5b1847d593d3e9bfbb45
http://arxiv.org/abs/2103.13219
http://arxiv.org/abs/2103.13219
Publikováno v:
INTERSPEECH
Audio super-resolution is a challenging task of recovering the missing high-resolution features from a low-resolution signal. To address this, generative adversarial networks (GAN) have been used to achieve promising results by training the mappings
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6443d1443dfe833abd0b722d47b724d4
http://arxiv.org/abs/2010.04506
http://arxiv.org/abs/2010.04506
Publikováno v:
ICASSP
Personalized recommendation on new track releases has always been a challenging problem in the music industry. To combat this problem, we first explore user listening history and demographics to construct a user embedding representing the user's musi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dcc1ccc253e7b93a3bfb816e0510e00e
Publikováno v:
ICASSP
Recent research on piano transcription has focused primarily on note events. Very few studies have investigated pedalling techniques, which form an important aspect of expressive piano music performance. In this paper, we propose a novel method for p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae34d3cbb6f079a55bc82efdeb4df912
https://doi.org/10.1109/icassp.2019.8683505
https://doi.org/10.1109/icassp.2019.8683505
Publikováno v:
EUSIPCO
In this paper, the problem of legato pedalling technique detection in polyphonic piano music is addressed. We propose a novel detection method exploiting the effect of sympathetic resonance which can be enhanced by a legato-pedal onset. To measure th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44937d865bfd76bbc2482ee415d7cbfd
https://doi.org/10.23919/eusipco.2018.8553341
https://doi.org/10.23919/eusipco.2018.8553341
Publikováno v:
Audio Mostly Conference
This paper presents a study of piano pedalling technique recognition on the sustain pedal utilising gesture data that is collected using a novel measurement system. The recognition is comprised of two separate tasks: onset/offset detection and classi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd7e94d230a25f3373dfe5208f88cde7
https://doi.org/10.1145/3123514.3123535
https://doi.org/10.1145/3123514.3123535