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pro vyhledávání: '"Masiero Bruno"'
Autor:
dos Santos Arthur, Pereira Jayr, Nogueira Rodrigo, Masiero Bruno, Tavallaey Shiva Sander, Zea Elias
Publikováno v:
Acta Acustica, Vol 8, p 2 (2024)
The increasing number of scientific publications in acoustics, in general, presents difficulties in conducting traditional literature surveys. This work explores the use of a generative pre-trained transformer (GPT) model to automate a literature sur
Externí odkaz:
https://doaj.org/article/8bf6a372770f42899b3cbab24163c6c6
The Listening in Spatialized Noise Sentences (LiSN-S) is a test to evaluate auditory spatial processing currently only available in the English language. It produces a three-dimensional auditory environment under headphones and uses a simple repetiti
Externí odkaz:
http://arxiv.org/abs/2409.04014
One key aspect differentiating data-driven single- and multi-channel speech enhancement and dereverberation methods is that both the problem formulation and complexity of the solutions are considerably more challenging in the latter case. Additionall
Externí odkaz:
http://arxiv.org/abs/2404.14564
Autor:
Santos, Arthur dos, Pereira, Jayr, Nogueira, Rodrigo, Masiero, Bruno, Sander-Tavallaey, Shiva, Zea, Elias
The increasing number of scientific publications in acoustics, in general, presents difficulties in conducting traditional literature surveys. This work explores the use of a generative pre-trained transformer (GPT) model to automate a literature sur
Externí odkaz:
http://arxiv.org/abs/2310.06260
In this paper, we introduce a data-compilation ensemble, primarily intended to serve as a resource for researchers in the field of dereverberation, particularly for data-driven approaches. It comprises speech and song samples, together with acoustic
Externí odkaz:
http://arxiv.org/abs/2304.09318
Autor:
Rosero, Karen, Santos, Arthur Nicholas dos, Valadares, Pedro Benevenuto, Masiero, Bruno Sanches
When songs are composed or performed, there is often an intent by the singer/songwriter of expressing feelings or emotions through it. For humans, matching the emotiveness in a musical composition or performance with the subjective perception of an a
Externí odkaz:
http://arxiv.org/abs/2209.12045
Autor:
Guizzo, Eric, Marinoni, Christian, Pennese, Marco, Ren, Xinlei, Zheng, Xiguang, Zhang, Chen, Masiero, Bruno, Uncini, Aurelio, Comminiello, Danilo
Publikováno v:
2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022, pp. 9186-9190
The L3DAS22 Challenge is aimed at encouraging the development of machine learning strategies for 3D speech enhancement and 3D sound localization and detection in office-like environments. This challenge improves and extends the tasks of the L3DAS21 e
Externí odkaz:
http://arxiv.org/abs/2202.10372
Autor:
Carbajal Ipenza, Sammy Johnatan1 (AUTHOR), Masiero, Bruno Sanches2 (AUTHOR) masiero@unicamp.br
Publikováno v:
Sensors (14248220). Sep2023, Vol. 23 Issue 17, p7577. 21p.
Publikováno v:
In Applied Acoustics July 2019 150:236-245
Akademický článek
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