Title :
The statistical information formulation for noisy speech recognition
Author_Institution :
Dept. of Electr. Eng., Changsha Inst. of Technol., China
Abstract :
Approaches to noisy speech recognition are developed by considering the direct extraction of the phonetic information from the noisy speech measurement. The proposed approaches are based on a statistical representation of the noisy measurement information directly in terms of the phonetic information to be recognized. Recognition is done based on a maximum a posteriori formulation of the noisy speech recognition problem
Keywords :
noise; speech recognition; statistical analysis; noisy speech recognition; phonetic information extraction; statistical information formulation; Data mining; Degradation; Gaussian noise; Information processing; Linear predictive coding; Noise measurement; Speech enhancement; Speech recognition; Timing; Training data;
Conference_Titel :
Pattern Recognition, 1990. Proceedings., 10th International Conference on
Conference_Location :
Atlantic City, NJ
Print_ISBN :
0-8186-2062-5
DOI :
10.1109/ICPR.1990.119361
