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pro vyhledávání: '"Brazier, Charles"'
Autor:
Brazier, Charles, Rouas, Jean-Luc
Large Language Models (LLMs) have shown remarkable performance in Natural Language Processing tasks, including Machine Translation (MT). In this work, we propose a novel MT pipeline that integrates emotion information extracted from a Speech Emotion
Externí odkaz:
http://arxiv.org/abs/2408.03150
Autor:
Brazier, Charles, Rouas, Jean-Luc
Neural Machine Translation (NMT) is the task of translating a text from one language to another with the use of a trained neural network. Several existing works aim at incorporating external information into NMT models to improve or control predicted
Externí odkaz:
http://arxiv.org/abs/2404.17968
Autor:
Brazier, Charles, Widmer, Gerhard
Fully automatic opera tracking is challenging because of the acoustic complexity of the genre, combining musical and linguistic information (singing, speech) in complex ways. In this paper, we propose a new pipeline for complete opera tracking. The p
Externí odkaz:
http://arxiv.org/abs/2110.02592
Autor:
Brazier, Charles, Widmer, Gerhard
Audio-to-lyrics alignment has become an increasingly active research task in MIR, supported by the emergence of several open-source datasets of audio recordings with word-level lyrics annotations. However, there are still a number of open problems, s
Externí odkaz:
http://arxiv.org/abs/2107.14496
Autor:
Brazier, Charles, Widmer, Gerhard
Algorithms for reliable real-time score following in live opera promise a lot of useful applications such as automatic subtitles display, or real-time video cutting in live streaming. Until now, such systems were based on the strong assumption that a
Externí odkaz:
http://arxiv.org/abs/2105.08531
Autor:
Brazier, Charles, Widmer, Gerhard
Robust real-time opera tracking (score following) would be extremely useful for many processes surrounding live opera staging and streaming, including automatic lyrics displays, camera control, or live video cutting. Recent work has shown that, with
Externí odkaz:
http://arxiv.org/abs/2010.11013
Autor:
Brazier, Charles, Widmer, Gerhard
Recent advances in real-time music score following have made it possible for machines to automatically track highly complex polyphonic music, including full orchestra performances. In this paper, we attempt to take this to an even higher level, namel
Externí odkaz:
http://arxiv.org/abs/2006.11033
We present a new system for real-time visualisation of music performance, focused for the moment on a fugue played by a string quartet. The basic principle is to offer a visual guide to better understand music using strategies that should be as engag
Externí odkaz:
http://arxiv.org/abs/2006.10168
The JKU-ABPU "Zauberflöte" Dataset is a new multimodal open-source opera dataset based on a live performance of the opera "Die Zauberflöte" by Wolfgang Amadeus Mozart that includes audio and video recordings of the complete live show. The opera was
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90747c78fcc06b1a452ff220ceb1232b
Autor:
Brazier, Charles
This thesis is concerned with the challenging task of tracking complete opera performances in real time and reliably following along in the corresponding musical score. Robust real-time opera tracking (score following) would be extremely useful for m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3361::b9fcc057753e5bde1f4e257d3340c065