Zobrazeno 1 - 10
of 1 921
pro vyhledávání: '"Sound source localization"'
Autor:
Eric Grinstein, Elisa Tengan, Bilgesu Çakmak, Thomas Dietzen, Leonardo Nunes, Toon van Waterschoot, Mike Brookes, Patrick A. Naylor
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2024, Iss 1, Pp 1-27 (2024)
Abstract In the last three decades, the Steered Response Power (SRP) method has been widely used for the task of Sound Source Localization (SSL), due to its satisfactory localization performance on moderately reverberant and noisy scenarios. Many wor
Externí odkaz:
https://doaj.org/article/06eb02a8470b4e5c94595899f38827c4
Autor:
Qingqing Xia, Shuoshuo Kang, Qian Wang, Mengdi Hong, Aiting Chen, Wei Chen, Fei Ji, Jianan Li, Shiming Yang
Publikováno v:
Journal of Otology, Vol 19, Iss 3, Pp 158-162 (2024)
Purpose: To analyze the effect of right versus left long-term single-sided deafness (SSD) on sound source localization (SSL), discuss the necessity of intervention and treatment for SSD patients, and analyze the therapeutic effect of long-term unilat
Externí odkaz:
https://doaj.org/article/bc0bfea190c74932bd5533499ca9e9e0
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2024, Iss 1, Pp 1-16 (2024)
Abstract Polyphonic sound source localization and detection (SSLD) task aims to recognize the categories of sound events, identify their onset and offset times, and detect their corresponding direction-of-arrival (DOA), where polyphonic refers to the
Externí odkaz:
https://doaj.org/article/b5fbdcd2e5e04128a8e197a9fe9d9aa0
Autor:
Long Nguyen-Vu, Jonghoon Lee
Publikováno v:
IEEE Access, Vol 12, Pp 148653-148665 (2024)
Sound Source Localization (SSL) is a key task in audio signal processing, focusing on estimating the position of sound sources relative to a reference point, typically a microphone array. In this paper, we introduce a novel dataset named SoS, specifi
Externí odkaz:
https://doaj.org/article/1e3694c6c23a4dcf99f0d81202c77d9a
Autor:
Jun Hyung Kim, Hyung-Min Park
Publikováno v:
IEEE Access, Vol 12, Pp 132605-132614 (2024)
Estimating the location of a target sound source is an important task in many fields. The blind source separation (BSS) algorithm is closely related to the multiple sound source localization problem. A convolutional beamformer (CBF), one of the BSS a
Externí odkaz:
https://doaj.org/article/3e72572338bb413180cfcb2df31c1a2c
Publikováno v:
IEEE Access, Vol 12, Pp 107476-107487 (2024)
Sound source localization for machines has been studied in microphone array and binaural paradigms in most cases, while much less work has been done in the single-microphone or monaural paradigm. This paper addresses this task and presents a system d
Externí odkaz:
https://doaj.org/article/2ab2f6c925144b0890dcabfe2e48a0da
Autor:
Wouter Jansen, Jan Steckel
Publikováno v:
IEEE Access, Vol 12, Pp 69371-69382 (2024)
Echolocation is the prime sensing modality for many species of bats, who show the intricate ability to perform a plethora of tasks in complex and unstructured environments. Understanding this exceptional feat of sensorimotor interaction is a key aspe
Externí odkaz:
https://doaj.org/article/81220d764e5047e7ae479c80e4c80919
Publikováno v:
IEEE Access, Vol 12, Pp 51786-51795 (2024)
Airborne 3D imaging using ultrasound is a promising sensing modality for robotic applications in harsh environments. Over the last decade, several high-performance systems have been proposed in the literature. Most of these sensors use a reduced aper
Externí odkaz:
https://doaj.org/article/8eb0b91b91824a70b5947e1f5dc7805d
Autor:
Lezhong Wang, Leru Wang
Publikováno v:
IEEE Access, Vol 12, Pp 44043-44054 (2024)
Compared with methods based on microphone arrays, sound source localization methods based on higher-order ambisonics (HOA) signals are no longer limited to specific array structures and exhibit better performance in multi-source scenarios. However, t
Externí odkaz:
https://doaj.org/article/e911bb7eedca4794ae603791ec0327e3
Publikováno v:
Zhejiang dianli, Vol 43, Iss 1, Pp 108-116 (2024)
The acoustic signals generated by power equipment such as converter transformers and AC filters tend to contain crucial status information. Traditional methods relying on manual auscultation to locate equipment faults suffer from subjectivity， low
Externí odkaz:
https://doaj.org/article/c0c510a169b24b459a7b9163e499673f