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Sep-Stereo: Visually Guided Stereophonic Audio Generation by Associating Source Separation
European Conference on Computer Vision, 2020Stereophonic audio is an indispensable ingredient to enhance human auditory experience. Recent research has explored the usage of visual information as guidance to generate binaural or ambisonic audio from mono ones with stereo supervision. However, this
Hang Zhou +4 more
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The Journal of the Acoustical Society of America, 2017
In the presence of multiple continuously active acoustic sources, microphone response signals are additive mixtures of acoustic images: that is, filtered, delayed, and scaled versions of the source signals. By adaptively minimizing a contrast function such as the mutual information between outputs, Blind Source Separation (BSS) algorithms can “demix ...
Richard Goldhor +2 more
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In the presence of multiple continuously active acoustic sources, microphone response signals are additive mixtures of acoustic images: that is, filtered, delayed, and scaled versions of the source signals. By adaptively minimizing a contrast function such as the mutual information between outputs, Blind Source Separation (BSS) algorithms can “demix ...
Richard Goldhor +2 more
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Households' source separation behaviour and solid waste disposal options in Ghana's Millennium City.
Journal of Environmental Management, 2020Poor solid waste management has increasingly taken a hegemonic position in urban policy discourse in Ghana. Often, the discourse centers on free market principles and inflexible waste management laws that promote privatization and deregulation.
H. Alhassan, P. Kwakwa, E. Owusu-Sekyere
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Nonstationary source separation
Proceedings of IEEE. IEEE Region 10 Conference. TENCON 99. 'Multimedia Technology for Asia-Pacific Information Infrastructure' (Cat. No.99CH37030), 2003Source separation is a statistical method, the goal of which is to recover mutually independent sources from their linear instantaneous mixtures without resorting to any prior knowledge. Most existing methods have been focused on stationary sources, so higher-order statistics was necessary for separation, unless sources are temporally correlated.
null Seungjin Choi, null O Young Lee
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Proceedings of the 9th International Conference on Computer and Automation Engineering, 2017
Convolutive blind source separation (BSS) refers the scenario that sources are recorded by multiple sensors in a reverberant environment, which can be depicted as a convolutive mixing model. A big task in convolutive BSS is to identify the number of the source before the sources are separated from mixtures. In this paper, it shows that this problem can
Junjie Yang +3 more
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Convolutive blind source separation (BSS) refers the scenario that sources are recorded by multiple sensors in a reverberant environment, which can be depicted as a convolutive mixing model. A big task in convolutive BSS is to identify the number of the source before the sources are separated from mixtures. In this paper, it shows that this problem can
Junjie Yang +3 more
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The Journal of the Acoustical Society of America, 1999
In signal processing the received data can be modeled as a superposition of a finite number of elementary source signals and an additive noise. Generally, in a multi-sensor environment application, such as underwater acoustics, the principal objective is estimating the number and directions of radiating sources. In the last decade, eigenstructure-based
Miloud Frikel +2 more
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In signal processing the received data can be modeled as a superposition of a finite number of elementary source signals and an additive noise. Generally, in a multi-sensor environment application, such as underwater acoustics, the principal objective is estimating the number and directions of radiating sources. In the last decade, eigenstructure-based
Miloud Frikel +2 more
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Nudging to promote household waste source separation: Mechanisms and spillover effects
, 2020Promoting waste source separation is one of the policy priorities for public authorities at all levels in China as well as other developing countries undergoing an extremely rapid expansion in waste generation.
Zhijian Zhang, Xueyuan Wang
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IEEE Transactions on Signal Processing, 2003
A maximum likelihood (ML) approach is used to separate the instantaneous mixtures of temporally correlated, independent sources with neither preliminary transformation nor a priori assumption about the probability distribution of the sources. A Markov model is used to represent the joint probability density of successive samples of each source.
S. Hosseini +2 more
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A maximum likelihood (ML) approach is used to separate the instantaneous mixtures of temporally correlated, independent sources with neither preliminary transformation nor a priori assumption about the probability distribution of the sources. A Markov model is used to represent the joint probability density of successive samples of each source.
S. Hosseini +2 more
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Supervised Determined Source Separation with Multichannel Variational Autoencoder
Neural Computation, 2019This letter proposes a multichannel source separation technique, the multichannel variational autoencoder (MVAE) method, which uses a conditional VAE (CVAE) to model and estimate the power spectrograms of the sources in a mixture.
H. Kameoka, Li Li, S. Inoue, S. Makino
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Audio Source Separation and Speech Enhancement
, 2018Audio source separation and speech enhancement aim to extract one or more source signals of interest from an audio recording involving several sound sources.
E. Vincent, Tuomas Virtanen, S. Gannot
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