Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Lluís, Francesc"'
Autor:
Lluís, Francesc, Meyer-Kahlen, Nils
For audio in augmented reality (AR), knowledge of the users' real acoustic environment is crucial for rendering virtual sounds that seamlessly blend into the environment. As acoustic measurements are usually not feasible in practical AR applications,
Externí odkaz:
http://arxiv.org/abs/2409.14971
Individual Head-Related Transfer Functions (HRTFs), crucial for realistic virtual audio rendering, can be efficiently numerically computed from precise three-dimensional head and ear scans. While photogrammetry scanning is promising, it generally lac
Externí odkaz:
http://arxiv.org/abs/2408.16410
Publikováno v:
Acta Acustica 2023, 7, 29
Ambisonics is a scene-based spatial audio format that has several useful features compared to object-based formats, such as efficient whole scene rotation and versatility. However, it does not provide direct access to the individual source signals, s
Externí odkaz:
http://arxiv.org/abs/2305.11727
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing 2022 (1), 1-15
For immersive applications, the generation of binaural sound that matches its visual counterpart is crucial to bring meaningful experiences to people in a virtual environment. Recent studies have shown the possibility of using neural networks for syn
Externí odkaz:
http://arxiv.org/abs/2104.12462
Recently, significant progress has been made in audio source separation by the application of deep learning techniques. Current methods that combine both audio and visual information use 2D representations such as images to guide the separation proce
Externí odkaz:
http://arxiv.org/abs/2102.02028
Publikováno v:
The Journal of the Acoustical Society of America 148, 649 (2020)
In this paper, a deep-learning-based method for sound field reconstruction is proposed. It is shown the possibility to reconstruct the magnitude of the sound pressure in the frequency band 30-300 Hz for an entire room by using a very low number of ir
Externí odkaz:
http://arxiv.org/abs/2001.11263
Most of the currently successful source separation techniques use the magnitude spectrogram as input, and are therefore by default omitting part of the signal: the phase. To avoid omitting potentially useful information, we study the viability of usi
Externí odkaz:
http://arxiv.org/abs/1810.12187
Publikováno v:
Acta Acustica, Vol 7, p 33 (2023)
Externí odkaz:
https://doaj.org/article/6f134beb06a34deb97e5a56f84e0194e
Publikováno v:
Acta Acustica, Vol 7, p 29 (2023)
Ambisonics is a scene-based spatial audio format that has several useful features compared to object-based formats, such as efficient whole scene rotation and versatility. However, it does not provide direct access to the individual source signals, s
Externí odkaz:
https://doaj.org/article/7d294f8e466e4f70a771f436bb735429
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