Publications associées à Far-field Continuous Speech Recognition System based on Speaker Localization and Sub-band Beamformin

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Using measured instead of perceived noise in hedonic models

Philippe Thalmann, Andrea Baranzini, Caroline Schaerer

This paper compares the use of perceived and measured noise in a hedonic housing model. Although in theory the use of subjective variables is recommended, most empirical applications use measured noise variables. Merging different databases, we obtain a sa ...

Elsevier2010

Verified Speaker Localization Utilizing Voicing Level in Split-bands

Afsaneh Asaei, Mohammadjavad Taghizadeh

This paper proposes a joint verification-localization structure based on split-band analysis of speech signal and the mixed voicing level. To address the problems in reverberant acoustic environments, a new fundamental frequency estimation algorithm is pro ...

2009

Two-level bimodal association for audio-visual speech recognition

Touradj Ebrahimi, Jong Seok Lee

This paper proposes a new method for bimodal information fusion in audio-visual speech recognition, where cross-modal association is considered in two levels. First, the acoustic and the visual data streams are combined at the feature level by using the ca ...

Springer-Verlag2009

Recognition Of Reverberant Speech Using Frequency Domain Linear Prediction

Hynek Hermansky, Sriram Ganapathy, Samuel Thomas

Performance of a typical automatic speech recognition (ASR) system severely degrades when it encounters speech from reverberant environments. Part of the reason for this degradation is the feature extraction techniques that use analysis windows which are m ...

2008

Recognition Of Reverberant Speech Using Frequency Domain Linear Prediction

Hynek Hermansky, Sriram Ganapathy, Samuel Thomas

IDIAP2008

Inference in Switching Linear Dynamical Systems Applied to Noise Robust Speech Recognition of Isolated Digits

Bertrand Mesot

Real world applications such as hands-free dialling in cars may have to perform recognition of spoken digits in potentially very noisy environments. Existing state-of-the-art solutions to this problem use feature-based Hidden Markov Models~(HMMs), with a p ...

IDIAP Research Institute2008

Comparison of low-frequency background noise cancellation systems for room acoustics

Hervé Lissek, François Aballéa, Pierre-Jean René

Low frequency background noise (below 200 Hz) is perceptible in many situations such as in room acoustics or industrials issues. Generate by numerous type of source (traffic noise, aircraft, industrial plants, electricity transformer,… ), this type of nois ...

2008

Robust overlapping speech recognition based on neural networks

John David Scott Dines, Weifeng Li

We address issues for improving hands-free speech recognition performance in the presence of multiple simultaneous speakers using multiple distant microphones. In this paper, a log spectral mapping is proposed to estimate the log mel-filterbank outputs of ...

IDIAP2007

Far-field Continuous Speech Recognition System based on Speaker Localization and Sub-band Beamformin

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