Results 21 to 30 of about 34,525 (261)
Underdetermined Blind Source Separation of Temporomandibular Joint Sounds [PDF]
The underdetermined blind source separation problem using a filtering approach is addressed. An extension of the FastICA algorithm is devised which exploits the disparity in the kurtoses of the underlying sources to estimate the mixing matrix and thereafter achieves source recovery by employing the ll-norm algorithm.
Took, CC +3 more
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The degenerate unmixing estimation technique (DUET), enables facile sound source separation through two signal mixtures. However, in numerous practical situations, identifying peaks in DUET histograms is difficult, which in turn prevents effective source
Kuang-Yow Lian, Jia-Hsin Lin
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Off-Screen Sound Separation Based on Audio-visual Pre-training Using Binaural Audio
This study proposes a novel off-screen sound separation method based on audio-visual pre-training. In the field of audio-visual analysis, researchers have leveraged visual information for audio manipulation tasks, such as sound source separation ...
Masaki Yoshida +3 more
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A multichannel learning-based approach for sound source separation in reverberant environments
In this paper, a multichannel learning-based network is proposed for sound source separation in reverberant field. The network can be divided into two parts according to the training strategies.
You-Siang Chen +2 more
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Source separation in ecoacoustics: a roadmap towards versatile soundscape information retrieval
A comprehensive assessment of ecosystem dynamics requires the monitoring of biological, physical and social changes. Changes that cannot be observed visually may be trackable acoustically through soundscape analysis. Soundscapes vary greatly depending on
Tzu‐Hao Lin, Yu Tsao
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Active Audio-Visual Separation of Dynamic Sound Sources
We explore active audio-visual separation for dynamic sound sources, where an embodied agent moves intelligently in a 3D environment to continuously isolate the time-varying audio stream being emitted by an object of interest. The agent hears a mixed stream of multiple audio sources (e.g., multiple people conversing and a band playing music at a noisy ...
Sagnik Majumder, Kristen Grauman
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Frequency-dependent auto-pooling function for weakly supervised sound event detection
Sound event detection (SED), which is typically treated as a supervised problem, aims at detecting types of sound events and corresponding temporal information. It requires to estimate onset and offset annotations for sound events at each frame.
Sichen Liu +3 more
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Robust Auditory Functions Based on Probabilistic Integration of MUSIC and CGMM
Sound source localization and separation are essential functions for robot audition to comprehend acoustic environments. The widely-used multiple signal classification (MUSIC) can precisely estimate the directions of arrival (DoAs) of multiple sound ...
Yoshiaki Bando +3 more
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An Audio-Visual Separation Model Integrating Dual-Channel Attention Mechanism
Sound source separation is the separation of targeted sounds from a noisy environment, which plays an important role in signal processing and has been studied extensively.
Yutao Zhang, Kaixing Wu, Mengfan Zhao
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Multiple Sound Source Localization Using SVD-PHAT-ATV on Blind Source Separation
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.
Jun Hyung Kim, Hyung-Min Park
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