Significant strides have been made in the field of automatic speech recognition over the past three decades. However, the systems are not robust; their performance degrades in the presence of even moderate amounts of noise. This thesis presents an approach to developing a speech recognition system that takes inspiration firom the approach of human speech recognition
This paper is concerned with increasing the robustness of automatic speech recognition systems (ASR)...
The statistical theory of speech recognition introduced several decades ago has brought about low wo...
Automatic speech recognition has reached high level performances but it usually fails in coping with...
Significant strides have been made in the field of automatic speech recognition over the past three ...
Significant strides have been made in the field of automatic speech recognition over the past three ...
Automatic speech recognition (ASR) is a technology that allows a computer and mobile device to recog...
This report presents a review of the main research directions in noise robust automatic speech recog...
Despite sophisticated present day automatic speech recognition (ASR) techniques, a single recognizer...
Communication by speech is intrinsic for humans. Since the breakthrough of mobile devices and wirele...
Automatic speech recognition (ASR) systems have made dramatic performance leaps in the recent past. ...
Speech is the most natural way of communication for human being, thus, techniques to communicate wit...
This work identifies the causes for unsatisfactory reliability of contemporary systems for automatic...
Automatic speech recognition (ASR) is a key element in making the dream of natural human-machine com...
Speech in a noisy background presents a challenge for the recognition of that speech both by human l...
Feature computation models for automatic speech recognition (ASR) systems have long been modeled on ...
This paper is concerned with increasing the robustness of automatic speech recognition systems (ASR)...
The statistical theory of speech recognition introduced several decades ago has brought about low wo...
Automatic speech recognition has reached high level performances but it usually fails in coping with...
Significant strides have been made in the field of automatic speech recognition over the past three ...
Significant strides have been made in the field of automatic speech recognition over the past three ...
Automatic speech recognition (ASR) is a technology that allows a computer and mobile device to recog...
This report presents a review of the main research directions in noise robust automatic speech recog...
Despite sophisticated present day automatic speech recognition (ASR) techniques, a single recognizer...
Communication by speech is intrinsic for humans. Since the breakthrough of mobile devices and wirele...
Automatic speech recognition (ASR) systems have made dramatic performance leaps in the recent past. ...
Speech is the most natural way of communication for human being, thus, techniques to communicate wit...
This work identifies the causes for unsatisfactory reliability of contemporary systems for automatic...
Automatic speech recognition (ASR) is a key element in making the dream of natural human-machine com...
Speech in a noisy background presents a challenge for the recognition of that speech both by human l...
Feature computation models for automatic speech recognition (ASR) systems have long been modeled on ...
This paper is concerned with increasing the robustness of automatic speech recognition systems (ASR)...
The statistical theory of speech recognition introduced several decades ago has brought about low wo...
Automatic speech recognition has reached high level performances but it usually fails in coping with...