Add to ORKGThis paper presents a method to integrate the model adaptation technique and the missing feature theory for robust speech recognition. The recognition performance can be further improved as comparing with that utilizing only a single approach. The basic idea comes from that the integration of two techniques will compensate two improper assumptions made separately by these two techniques. The evaluation of the proposed method on the task of isolated Mandarin digits recognition shows that the system robustness is upgraded substantially. 1
Colloque avec actes et comité de lecture. internationale.International audienceNoise degrades the pe...
Much research has been focused on the problem of achieving automatic speech recognition (ASR) which ...
[[abstract]]©2008 Interspeech-Speaker adaptation is an efficient way to model a new speaker from an ...
This paper presents a method to integrate the model adaptation technique and the missing feature the...
This study proposes an effective model-based feature com-pensation method for robust speech recognit...
Speech recognizers trained with quiet wide-band speech degrade dramatically with high-pass, low-pass...
In this paper, we discuss acoustic backing-off as a method to improve automatic speech recognition ...
The environment adaptive methods play an important part in improving the robustness of automatic spe...
We propose a new model adaptation method based on the histogram equalization technique for providin...
Missing Data Theory (MDT) has shown to improve the robustness of automatic speech recognition (ASR) ...
Maintaining a high level of robustness for Automatic Speech Recognition (ASR) systems is especially ...
This thesis examines techniques to improve the robustness of automatic speech recogni-tion (ASR) sys...
Missing feature theory (MFT) has demonstrated great potential for improving the noise robustness in ...
[[abstract]]© 1999 Elsevier - When a speech recognition system is deployed in the real world, enviro...
The results of investigations into some aspects of robust speech recognition are reported in this th...
Colloque avec actes et comité de lecture. internationale.International audienceNoise degrades the pe...
Much research has been focused on the problem of achieving automatic speech recognition (ASR) which ...
[[abstract]]©2008 Interspeech-Speaker adaptation is an efficient way to model a new speaker from an ...
This paper presents a method to integrate the model adaptation technique and the missing feature the...
This study proposes an effective model-based feature com-pensation method for robust speech recognit...
Speech recognizers trained with quiet wide-band speech degrade dramatically with high-pass, low-pass...
In this paper, we discuss acoustic backing-off as a method to improve automatic speech recognition ...
The environment adaptive methods play an important part in improving the robustness of automatic spe...
We propose a new model adaptation method based on the histogram equalization technique for providin...
Missing Data Theory (MDT) has shown to improve the robustness of automatic speech recognition (ASR) ...
Maintaining a high level of robustness for Automatic Speech Recognition (ASR) systems is especially ...
This thesis examines techniques to improve the robustness of automatic speech recogni-tion (ASR) sys...
Missing feature theory (MFT) has demonstrated great potential for improving the noise robustness in ...
[[abstract]]© 1999 Elsevier - When a speech recognition system is deployed in the real world, enviro...
The results of investigations into some aspects of robust speech recognition are reported in this th...
Colloque avec actes et comité de lecture. internationale.International audienceNoise degrades the pe...
Much research has been focused on the problem of achieving automatic speech recognition (ASR) which ...
[[abstract]]©2008 Interspeech-Speaker adaptation is an efficient way to model a new speaker from an ...