Blind separation of disjoint orthogonal signals: demixing N sources from 2 mixtures

Jourjine, Alexander; Rickard, Scott; Yılmaz, Özgür

doi:10.1109/icassp.2000.861162

Cited by 270 publications

(321 citation statements)

References 10 publications

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“…The DUET algorithm [10,11] performs separation of stereo sources in the time-frequency domain. Using estimates of relative amplitude and delay parameters, a set of binary time-frequency masks M p (f, t), p = 1, .…”

Section: A Constructing Source Image Estimates For the Duet Algorithmmentioning

confidence: 99%

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An adaptive stereo basis method for convolutive blind audio source separation

et al. 2008

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We consider the problem of convolutive blind source separation of stereo mixtures, where a pair of microphones records mixtures of sound sources that are convolved with the impulse response between each source and sensor. We propose an Adaptive Stereo Basis (ASB) source separation method for such convolutive mixtures, using an adaptive transform basis which is learned from the stereo mixture pair.The stereo basis vector pairs of the transform are grouped according to the estimated relative delay between the left and right channels for each basis, and the sources are then extracted by projecting the transformed signal onto the subspace corresponding to each group of basis vector pairs. The performance of the proposed algorithm is compared with FD-ICA and DUET under different reverberation and noise conditions, using both objective distortion measures and formal listening tests. Preprint submitted to Elsevier Science 10 August 2007NOTICE: this is the author's version of a work that was accepted for publication in Neurocomputing. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in : Neurocomputing 71(10-12), 2087-2097, June 2008. doi: 10.1016/j.neucom.2007 The results indicate that the proposed stereo coding method is competitive with both these algorithms at short and intermediate reverberation times, and offers significantly improved performance at low noise and short reverberation times.

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Section: A Constructing Source Image Estimates For the Duet Algorithmmentioning

confidence: 99%

“…Another approach that has been found to be successful in practical applications on stereo (two-microphone) anechoic mixtures is the degenerate unmixing estimation technique (DUET) [10,11]. Here the STFT is again used to transform the signal into the time-frequency domain.…”

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confidence: 99%

An adaptive stereo basis method for convolutive blind audio source separation

et al. 2008

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“…The recognition rates are adversely affected by factors such as vehicle engine and ambient noise, microphone quality and position. At SCR, we are working to improve the recognition rates by applying new noise reduction and also blind source separation signal processing techniques that benefit from input from two or more microphones [31,32].…”

Section: Future Work and Conclusionmentioning

confidence: 99%

WIRE 3 : Driving Around the Information Super-Highway

Goose

Djennane

2002

Personal and Ubiquitous Computing

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Interactive voice browsers offer an alternative paradigm that affords ubiquitous mobile access to the WWW using a wide range of consumer devices. This technology can facilitate a safe, ''hands-free'' browsing environment that is of importance both to car drivers and various mobile and technical professionals. This paper describes the challenges of architecting an interactive voice browser that combines digital audio with the features of a speech synthesizer to make structural elements of the document explicit to the listener. The aesthetics of the audio rendition can simultaneously help reduce the monotony factor and enhance comprehension. The evolution of the voice browser gave rise to a new conceptual model of the HTML document structure and its mapping to a 3D audio space. A number of novel features are discussed for improving both the user's comprehension of the HTML document structure and their orientation within it. These factors, in turn, can improve the effectiveness of the browsing experience.

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“…The other class includes several methods based on the ratio of the TF transforms of the observed signals [6]- [10]. Some of these methods require the sources to have no overlap in the TF domain [6]- [8]. On the contrary, only slight differences in the TF representations of the sources are requested by the methods that we proposed in [9]- [10].…”

Section: Introductionmentioning

confidence: 99%

“…The first one is still significantly related to classical BSS approaches, as it consists of TF adaptations of previously developed joint-diagonalization methods, with subsequent modifications [3]- [5]. The other class includes several methods based on the ratio of the TF transforms of the observed signals [6]- [10]. Some of these methods require the sources to have no overlap in the TF domain [6]- [8].…”

Section: Introductionmentioning

confidence: 99%

Temporal and time-frequency correlation-based blind source separation methods. Part I: Determined and underdetermined linear instantaneous mixtures

Deville

Puigt

2007

Signal Processing

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In this paper, we propose two versions of a correlation-based blind source separation (BSS) method. Whereas its basic version operates in the time domain, its extended form is based on the timefrequency (TF) representations of the observed signals and thus applies to much more general conditions. The latter approach consists in identifying the columns of the (permuted scaled) mixing matrix in TF areas where this method detects that a single source occurs. Both the detection and identification stages of this approach use local correlation parameters of the TF transforms of the observed signals. This BSS method, called TIFCORR (for TImeFrequency CORRelation-based BSS), is shown to yield very accurate separation for linear instantaneous mixtures of real speech signals (output SNR's are above 60 dB).

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Blind separation of disjoint orthogonal signals: demixing N sources from 2 mixtures

Cited by 270 publications

References 10 publications

An adaptive stereo basis method for convolutive blind audio source separation

An adaptive stereo basis method for convolutive blind audio source separation

WIRE 3 : Driving Around the Information Super-Highway

Temporal and time-frequency correlation-based blind source separation methods. Part I: Determined and underdetermined linear instantaneous mixtures

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