The work of Bernstein and Benoît has confirmed that it is advantageous to use multiple senses, for example to employ both audio and visual modalities, in speech perception. As a consequence, looking at the speaker's face can be useful to better hear a speech signal in a noisy environment and to extract it from competing sources, as originally identified by Cherry, who posed the so-called "Cocktail Party" problem. To exploit the intrinsic coherence between audition and vision within a machine, the method of blind source separation (BSS) is particularly attractive. © 2010 Springer-Verlag
We present a method of improving sound source separation using vision. The sound source separation i...
# The Author(s) 2015. This article is published with open access at Springerlink.com Abstract How do...
The enhancement of the performance of frequency domain convolutive blind source separation (FDCBSS) ...
The work of Bernstein and Benoît has confirmed that it is advantageous to use multiple senses, for e...
International audienceThe work of Bernstein and Benoît has confirmed that it is advantageous to use ...
Because it can be found in many applications, the Blind Separation of Sources (BSS) problem has rais...
The cocktail party problem is one of following a conversation in a crowded room where there are many...
The goal of this paper is speech separation and enhancement in multi-speaker and noisy environments ...
We present a method of improving sound source separation using vision. The sound source separation i...
International audienceLooking at the speaker's face is useful to hear better a speech signal and ext...
Humans with normal hearing ability are generally skilful in listening selectively to a particular sp...
International audienceThe separation of speech signals measured at multiple microphones in noisy and...
A novel multimodal (audio-visual) approach to the problem of blind source separation (BSS) is evalua...
International audienceAudio is a domain where signal separation has long been considered as a fascin...
A novel multimodal (audio-visual) approach to the problem of blind source separation (BSS) is evalua...
We present a method of improving sound source separation using vision. The sound source separation i...
# The Author(s) 2015. This article is published with open access at Springerlink.com Abstract How do...
The enhancement of the performance of frequency domain convolutive blind source separation (FDCBSS) ...
The work of Bernstein and Benoît has confirmed that it is advantageous to use multiple senses, for e...
International audienceThe work of Bernstein and Benoît has confirmed that it is advantageous to use ...
Because it can be found in many applications, the Blind Separation of Sources (BSS) problem has rais...
The cocktail party problem is one of following a conversation in a crowded room where there are many...
The goal of this paper is speech separation and enhancement in multi-speaker and noisy environments ...
We present a method of improving sound source separation using vision. The sound source separation i...
International audienceLooking at the speaker's face is useful to hear better a speech signal and ext...
Humans with normal hearing ability are generally skilful in listening selectively to a particular sp...
International audienceThe separation of speech signals measured at multiple microphones in noisy and...
A novel multimodal (audio-visual) approach to the problem of blind source separation (BSS) is evalua...
International audienceAudio is a domain where signal separation has long been considered as a fascin...
A novel multimodal (audio-visual) approach to the problem of blind source separation (BSS) is evalua...
We present a method of improving sound source separation using vision. The sound source separation i...
# The Author(s) 2015. This article is published with open access at Springerlink.com Abstract How do...
The enhancement of the performance of frequency domain convolutive blind source separation (FDCBSS) ...