Add to ORKGlevels, respectively. Unfortunately, though, the performance of a speech recognition system drops dramatically when there is a mismatch between training and testing conditions. Many different approaches have been studied to decrease the effect of noise on the recognition erved
This paper presents a novel model compensation (MC) method for the features of mel-frequency cepstra...
In this paper we study the noise-robustness of mel-frequency cep-stral coefficients (MFCCs) and expl...
Speech recognition scores of machine decrease signifi-cantly in comparison to humans in difficult en...
It is well known that the performances of speech recognition systems degrade rapidly as the mismatch...
In this paper, experiments were performed to evaluate the principal performance boundaries of adapte...
Model based compensation schemes are a powerful approach for noise robust speech recognition. Recent...
Abstract. Discriminatively trained HMMs are investigated in both clean and noisy environments in thi...
It is well known that additive noise can cause a significant decrease in performance for an automati...
This paper examines the effect of applying noise compensation to acoustic speech feature prediction ...
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...
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 (...
Automatic speech recognition systems have difficulties with adapting to different speakers and acous...
Abstract – Most of the presently available speech recognition systems work efficiently only in some ...
This paper presents a novel model compensation (MC) method for the features of mel-frequency cepstra...
In this paper we study the noise-robustness of mel-frequency cep-stral coefficients (MFCCs) and expl...
Speech recognition scores of machine decrease signifi-cantly in comparison to humans in difficult en...
It is well known that the performances of speech recognition systems degrade rapidly as the mismatch...
In this paper, experiments were performed to evaluate the principal performance boundaries of adapte...
Model based compensation schemes are a powerful approach for noise robust speech recognition. Recent...
Abstract. Discriminatively trained HMMs are investigated in both clean and noisy environments in thi...
It is well known that additive noise can cause a significant decrease in performance for an automati...
This paper examines the effect of applying noise compensation to acoustic speech feature prediction ...
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...
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 (...
Automatic speech recognition systems have difficulties with adapting to different speakers and acous...
Abstract – Most of the presently available speech recognition systems work efficiently only in some ...
This paper presents a novel model compensation (MC) method for the features of mel-frequency cepstra...
In this paper we study the noise-robustness of mel-frequency cep-stral coefficients (MFCCs) and expl...
Speech recognition scores of machine decrease signifi-cantly in comparison to humans in difficult en...