10.1109/ICASSP.2013.6639097ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings7383-7387IPRO
Abstract. This paper addresses the problem of the mismatch between a silence model and background no...
Significant strides have been made in the field of automatic speech recognition over the past three ...
Colloque avec actes sans comité de lecture. internationale.International audienceIn real life speech...
[[abstract]]This paper proposes a modified parameter mapping scheme for parallel model combination (...
5th International Conference on Electronic Devices, Systems and Applications, ICEDSA 2016 --6 Decemb...
[[abstract]]A modified parallel model combination (PMC) for noisy speech recognition is proposed suc...
In this paper we present an approach that makes use of both Bayesian predictive classification (BPC)...
Article dans revue scientifique avec comité de lecture. internationale.International audienceThe rob...
This paper presents an efficient method for combining models of speech and noise for robust speech r...
It is well known that additive noise can cause a significant decrease in performance for an automati...
Significant strides have been made in the field of automatic speech recognition over the past three ...
This paper presents a multiple-model framework for noise-robust speech recognition. In this framewor...
Abstract—Parallel model combination (PMC) techniques have been very successful and popularly used in...
Maintaining a high level of robustness for Automatic Speech Recognition (ASR) systems is especially ...
Model compensation methods for noise-robust speech recognition have shown good performance. Predicti...
Abstract. This paper addresses the problem of the mismatch between a silence model and background no...
Significant strides have been made in the field of automatic speech recognition over the past three ...
Colloque avec actes sans comité de lecture. internationale.International audienceIn real life speech...
[[abstract]]This paper proposes a modified parameter mapping scheme for parallel model combination (...
5th International Conference on Electronic Devices, Systems and Applications, ICEDSA 2016 --6 Decemb...
[[abstract]]A modified parallel model combination (PMC) for noisy speech recognition is proposed suc...
In this paper we present an approach that makes use of both Bayesian predictive classification (BPC)...
Article dans revue scientifique avec comité de lecture. internationale.International audienceThe rob...
This paper presents an efficient method for combining models of speech and noise for robust speech r...
It is well known that additive noise can cause a significant decrease in performance for an automati...
Significant strides have been made in the field of automatic speech recognition over the past three ...
This paper presents a multiple-model framework for noise-robust speech recognition. In this framewor...
Abstract—Parallel model combination (PMC) techniques have been very successful and popularly used in...
Maintaining a high level of robustness for Automatic Speech Recognition (ASR) systems is especially ...
Model compensation methods for noise-robust speech recognition have shown good performance. Predicti...
Abstract. This paper addresses the problem of the mismatch between a silence model and background no...
Significant strides have been made in the field of automatic speech recognition over the past three ...
Colloque avec actes sans comité de lecture. internationale.International audienceIn real life speech...
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