Add to ORKGKirchhoff K. Robust speech recognition using articulatory information. Berkeley,USA: International Computer Science Institute; 1998
This thesis elaborates the use of speech production knowledge in the form of articulatory phonetic f...
2005 Fifth International Conference on Information, Communications and Signal Processing20051334-133
This report presents a review of the main research directions in noise robust automatic speech recog...
Kirchhoff K. Robust speech recognition using articulatory information. Bielefeld (Germany): Bielefel...
Robust speech recognition and understanding. - In: Robust speech recognition and understanding / ed....
Current Automatic Speech Recognition (ASR) systems fail to perform nearly as good as human speech re...
Kirchhoff K, Fink GA, Sagerer G. Combining acoustic and articulatory feature information for robust ...
SIGLEKULeuven Campusbibliotheek Exacte Wetenschappen / UCL - Université Catholique de LouvainBEBelgi...
Speech is the most natural way of communication for human being, thus, techniques to communicate wit...
This book on Robust Speech Recognition and Understanding brings together many different aspects of t...
Yılmaz E., Baby D., Van hamme H., ''Noise robust exemplar matching for speech enhancement: Applicati...
published_or_final_versionComputer Science and Information SystemsDoctoralDoctor of Philosoph
This book discusses the contribution of articulatory and excitation source information in discrimina...
This book presents an overview of speaker recognition technologies with an emphasis on dealing with ...
The goal of this research is to improve the performance of a speaker-independent Automatic Speech Re...
This thesis elaborates the use of speech production knowledge in the form of articulatory phonetic f...
2005 Fifth International Conference on Information, Communications and Signal Processing20051334-133
This report presents a review of the main research directions in noise robust automatic speech recog...
Kirchhoff K. Robust speech recognition using articulatory information. Bielefeld (Germany): Bielefel...
Robust speech recognition and understanding. - In: Robust speech recognition and understanding / ed....
Current Automatic Speech Recognition (ASR) systems fail to perform nearly as good as human speech re...
Kirchhoff K, Fink GA, Sagerer G. Combining acoustic and articulatory feature information for robust ...
SIGLEKULeuven Campusbibliotheek Exacte Wetenschappen / UCL - Université Catholique de LouvainBEBelgi...
Speech is the most natural way of communication for human being, thus, techniques to communicate wit...
This book on Robust Speech Recognition and Understanding brings together many different aspects of t...
Yılmaz E., Baby D., Van hamme H., ''Noise robust exemplar matching for speech enhancement: Applicati...
published_or_final_versionComputer Science and Information SystemsDoctoralDoctor of Philosoph
This book discusses the contribution of articulatory and excitation source information in discrimina...
This book presents an overview of speaker recognition technologies with an emphasis on dealing with ...
The goal of this research is to improve the performance of a speaker-independent Automatic Speech Re...
This thesis elaborates the use of speech production knowledge in the form of articulatory phonetic f...
2005 Fifth International Conference on Information, Communications and Signal Processing20051334-133
This report presents a review of the main research directions in noise robust automatic speech recog...