Adaptive Noise Reduction for Sound Event Detection Using Subband-Weighted NMF [PDF]
, 2019 Sound event detection in real-world environments suffers from the interference of non-stationary and time-varying noise. This paper presents an adaptive noise reduction method for sound event detection based on non-negative matrix factorization (NMF ...
Emmanouil Benetos +4 more
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Frequency-dependent auto-pooling function for weakly supervised sound event detection
EURASIP Journal on Audio, Speech, and Music Processing, 2021 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
doaj +1 more source
Weakly-Supervised Audio-Visual Sound Source Detection and Separation [PDF]
2021 IEEE International Conference on Multimedia and Expo (ICME), 2021 4 figures, 6 ...
Tanzila Rahman, Leonid Sigal
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Robust Auditory Functions Based on Probabilistic Integration of MUSIC and CGMM
IEEE Access, 2021 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
doaj +1 more source
Variational EM for binaural sound-source separation and localization [PDF]
2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013 The sound-source separation and localization (SSL) problems are addressed within a unified formulation. Firstly, a mapping between white-noise source locations and binaural cues is estimated. Secondly, SSL is solved via Bayesian inversion of this mapping in the presence of multiple sparse-spectrum emitters (such as speech), noise and reverberations. We
Deleforge, Antoine +2 more
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An Audio-Visual Separation Model Integrating Dual-Channel Attention Mechanism
IEEE Access, 2023 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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Nonlinear time-warping made simple: a step-by-step tutorial on underwater acoustic modal separation with a single hydrophone [PDF]
, 2020 © The Author(s), 2020. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Bonnel, J., Thode, A., Wright, D., & Chapman, R.
Bonnel, Julien +3 more
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Multiple Sound Source Localization Using SVD-PHAT-ATV on Blind Source Separation
IEEE AccessEstimating 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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Self-Supervised Audio-Visual Co-Segmentation
, 2019 Segmenting objects in images and separating sound sources in audio are challenging tasks, in part because traditional approaches require large amounts of labeled data.
Gan, Chuang +4 more
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Sound field separation with sound pressure and particle velocity measurements [PDF]
, 2012 International audienceIn conventional near-field acoustic holography (NAH) it is not possible to distinguish between sound from the two sides of the array, thus, it is a requirement that all the sources are confined to only one side and radiate into a ...
Fernandez Grande, Efren +2 more
core +3 more sources