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BROADBAND BEAMPATTERN FOR MULTI-CHANNEL SPEECH ACQUISITION AND DISTANT SPEECH RECOGNITION

Publications associées (33)

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Beamforming with a Maximum Negentropy Criterion

Philip Neil Garner, Weifeng Li

In this paper, we address a beamforming application based on the capture of far-field speech data from a single speaker in a real meeting room. After the position of the speaker is estimated by a speaker tracking system, we construct a subband-domain beamf ...

2009

Adaptive Beamforming with a Maximum Negentropy Criterion

Philip Neil Garner, Weifeng Li

\begin{abstract} In this paper, we address an adaptive beamforming application in realistic acoustic conditions. After the position of a speaker is estimated by a speaker tracking system, we construct a subband-domain beamformer in \emph{generalized sidelo ...

IDIAP2008

Adaptive Beamforming with a Maximum Negentropy Criterion

Philip Neil Garner, Weifeng Li

In this paper, we address an adaptive beamforming application in realistic acoustic conditions. After the position of a speaker is estimated by a speaker tracking system, we construct a subband-domain beamformer in generalized sidelobe canceller (GSC) conf ...

2008

Tight bounds on the AUH codes

Ali Kakhbod

In this paper we consider the class of anti-uniform Huffman codes and derive tight lower and upper hounds on the average length, entropy, and redundancy of such codes in terms of the alphabet size of the source. Also an upper bound on the entropy of AUH co ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2008

Speech Enhancement and Recognition in Meetings with an Audio-Visual Sensor Array

Daniel Gatica-Perez

We address the problem of distant speech acquisition in multi-party meetings, using multiple microphones and cameras. Microphone array beamforming techniques present a potential alternative to close-talking microphones by providing speech enhancement throu ...

IDIAP2006

Speech Acquisition in Meetings with an Audio-Visual Sensor Array

Daniel Gatica-Perez, Darren Moore, Silèye Oumar Ba

Close-talk headset microphones have been traditionally used for speech acquisition in a number of applications, as they naturally provide a higher signal-to-noise ratio -needed for recognition tasks- than single distant microphones. However, in multi-party ...

IDIAP2005

Speech Acquisition in Meetings with an Audio-Visual Sensor Array

Daniel Gatica-Perez, Darren Moore, Silèye Oumar Ba

2005

HMM mixtures (HMM2) for robust speech recognition

Katrin Weber

State-of-the-art automatic speech recognition (ASR) techniques are typically based on hidden Markov models (HMMs) for the modeling of temporal sequences of feature vectors extracted from the speech signal. At the level of each HMM state, Gaussian mixture m ...

EPFL2003

HMM Mixtures (HMM2) for Robust Speech Recognition

Katrin Weber

Ecole Polytechnique Federale de Lausanne2003

HMM Mixtures (HMM2) for Robust Speech Recognition

Katrin Weber

IDIAP2003