Zobrazeno 1 - 10
of 1 176
pro vyhledávání: '"KRAUSE, DANIEL"'
Distance estimation from audio plays a crucial role in various applications, such as acoustic scene analysis, sound source localization, and room modeling. Most studies predominantly center on employing a classification approach, where distances are
Externí odkaz:
http://arxiv.org/abs/2403.17514
Sound Event Detection and Localization (SELD) is a combined task of identifying sound events and their corresponding direction-of-arrival (DOA). While this task has numerous applications and has been extensively researched in recent years, it fails t
Externí odkaz:
http://arxiv.org/abs/2403.11827
Autor:
Shimada, Kazuki, Politis, Archontis, Sudarsanam, Parthasaarathy, Krause, Daniel, Uchida, Kengo, Adavanne, Sharath, Hakala, Aapo, Koyama, Yuichiro, Takahashi, Naoya, Takahashi, Shusuke, Virtanen, Tuomas, Mitsufuji, Yuki
While direction of arrival (DOA) of sound events is generally estimated from multichannel audio data recorded in a microphone array, sound events usually derive from visually perceptible source objects, e.g., sounds of footsteps come from the feet of
Externí odkaz:
http://arxiv.org/abs/2306.09126
Sound event detection (SED) and Acoustic scene classification (ASC) are two widely researched audio tasks that constitute an important part of research on acoustic scene analysis. Considering shared information between sound events and acoustic scene
Externí odkaz:
http://arxiv.org/abs/2209.05900
Autor:
Politis, Archontis, Shimada, Kazuki, Sudarsanam, Parthasaarathy, Adavanne, Sharath, Krause, Daniel, Koyama, Yuichiro, Takahashi, Naoya, Takahashi, Shusuke, Mitsufuji, Yuki, Virtanen, Tuomas
This report presents the Sony-TAu Realistic Spatial Soundscapes 2022 (STARS22) dataset for sound event localization and detection, comprised of spatial recordings of real scenes collected in various interiors of two different sites. The dataset is ca
Externí odkaz:
http://arxiv.org/abs/2206.01948
Sound source proximity and distance estimation are of great interest in many practical applications, since they provide significant information for acoustic scene analysis. As both tasks share complementary qualities, ensuring efficient interaction b
Externí odkaz:
http://arxiv.org/abs/2107.12033
Autor:
Politis, Archontis, Adavanne, Sharath, Krause, Daniel, Deleforge, Antoine, Srivastava, Prerak, Virtanen, Tuomas
This report presents the dataset and baseline of Task 3 of the DCASE2021 Challenge on Sound Event Localization and Detection (SELD). The dataset is based on emulation of real recordings of static or moving sound events under real conditions of reverb
Externí odkaz:
http://arxiv.org/abs/2106.06999
Publikováno v:
International Journal of Physical Distribution & Logistics Management, 2023, Vol. 53, Issue 9, pp. 1043-1072.
Publikováno v:
In Marine Pollution Bulletin August 2023 193