Noise in everyday acoustic environments such as cars, traffic environments, and cafeterias remains one of the main challenges in automatic speech recognition (ASR). As a research theme, it has received wide attention in conferences and scientific journals focused on speech technology. This article collection reviews both the classic and novel approaches suggested for noise robust ASR. The articles are literature reviews written for the spring 2009 seminar course on noise robust automatic speech recognition (course code T-61.6060) held at TKK
International audienceWe propose a novel framework for noise robust automatic speech recognition (AS...
Significant strides have been made in the field of automatic speech recognition over the past three ...
Communication by speech is intrinsic for humans. Since the breakthrough of mobile devices and wirele...
This report presents a review of the main research directions in noise robust automatic speech recog...
Automatic speech recognition (ASR) is a key element in making the dream of natural human-machine com...
Present systems advances in speech processing systems aim at providing sturdy and reliable interface...
This paper deals with the analysis of Automatic Speech Recognition (ASR) suitable for usage within n...
The usage of deep learning algorithms has resulted in significant progress in auto- matic speech rec...
It is observed that recognition rate of speech decreases, with the increase of noise in the backgrou...
Wang Y., Vuerinckx R., Gemmeke J., Cranen B., Van hamme H., ''Evaluation of missing data techniques ...
Also issued as Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering...
Many new consumer applications are based on the use of automatic speech recognition (ASR) systems, s...
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Compute...
Speech recognition systems have improved in robustness in recent years with respect to both speaker ...
Automatic speech recognition (ASR) is a technology that allows a computer and mobile device to recog...
International audienceWe propose a novel framework for noise robust automatic speech recognition (AS...
Significant strides have been made in the field of automatic speech recognition over the past three ...
Communication by speech is intrinsic for humans. Since the breakthrough of mobile devices and wirele...
This report presents a review of the main research directions in noise robust automatic speech recog...
Automatic speech recognition (ASR) is a key element in making the dream of natural human-machine com...
Present systems advances in speech processing systems aim at providing sturdy and reliable interface...
This paper deals with the analysis of Automatic Speech Recognition (ASR) suitable for usage within n...
The usage of deep learning algorithms has resulted in significant progress in auto- matic speech rec...
It is observed that recognition rate of speech decreases, with the increase of noise in the backgrou...
Wang Y., Vuerinckx R., Gemmeke J., Cranen B., Van hamme H., ''Evaluation of missing data techniques ...
Also issued as Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering...
Many new consumer applications are based on the use of automatic speech recognition (ASR) systems, s...
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Compute...
Speech recognition systems have improved in robustness in recent years with respect to both speaker ...
Automatic speech recognition (ASR) is a technology that allows a computer and mobile device to recog...
International audienceWe propose a novel framework for noise robust automatic speech recognition (AS...
Significant strides have been made in the field of automatic speech recognition over the past three ...
Communication by speech is intrinsic for humans. Since the breakthrough of mobile devices and wirele...