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Noise analysis of genome-scale protein synthesis using a discrete computational model of translation

Related publications (275)

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Noise PDF transformation in secondary feature processing

Motivated by the human ability to maintain a high level of speech recognition when large parts of the spectrogram are masked (i.e. dominated) by noise, the original "missing data" (MD) approach to noise robust speech recognition was based on the paradigm w ...

IDIAP2002

Entropy-based Multi-stream Combination

Hervé Bourlard, Hemant Misra, Vivek Tyagi

Full-combination multi-band approach has been proposed in the literature and performs well for band-limited noise. But the approach fails to deliver in case of wide-band noise. To overcome this, multi-stream approaches are proposed in literature with varyi ...

IDIAP2002

Microphone Array Post-filter for Diffuse Noise Field

Hervé Bourlard

This paper proposes a novel technique for estimating the signal power spectral density to be used in the transfer function of a microphone array post-filter. The technique is a modification of the existing Zelinski post-filter, which uses the auto- and cro ...

2002

Low cost duration modelling for noise robust speech recognition

Hervé Bourlard

State transition matrices as used in standard HMM decoders have two widely perceived limitations. One is that the implicit Geometric state duration distributions which they model do not accurately reflect true duration distributions. The other is that they ...

2002

Low cost duration modelling for noise robust speech recognition

Hervé Bourlard

IDIAP2002

Robust exponential filtering for uncertain systems with stochastic and polytopic uncertainties

Ali H. Sayed

This paper addresses the problem of robust exponential filtering for discrete uncertain systems with mixed stochastic and deterministic uncertainties, in addition to unmodelled nonlinearities and measurement and process noises with bounded variances. ...

2002

Wavelet de-noising for highly noisy source separation

Kamiar Aminian, Philippe Robert, Anisoara Ionescu, Bijan Najafi

The aim of this paper is to demonstrate that wavelet denoising processing is extremely attractive for efficient source separation of strong noisy mixtures. Systematic numerical simulations using source separation algorithms after wavelet de-noising are use ...

2002

Source separation in strong noisy mixtures: A study of wavelet de-noising pre-processing

Kamiar Aminian, Philippe Robert, Anisoara Ionescu, Bijan Najafi

This paper addresses the source separation in strong noisy mixtures by wavelet de-noising processing. Experiments include the cases of white/correlated Gaussian and non- Gaussian noise, which correspond to various applications. The performance of BSS/ICA a ...

2002

Contribution à l'étude des modes de rayonnement acoustique d'une structure

Olivier Schevin

Noise radiated by different industrial structures that surround us in daily life are more and more considered as environmental pollution. Standards defining a tolerable sound level for each of these noise sources are regularly called into question and resp ...

EPFL2001

Adaptive ML-Weighting in Multi-Band Recombination of Gaussian Mixture ASR

Hervé Bourlard, Astrid Hagen

Multi-band speech recognition is powerful in band-limited noise, when the recognizer of the noisy band, which is less reliable, can be given less weight in the recombination process. An accurate decision on which bands can be considered as reliable and whi ...

IDIAP2001