Title :
Speaker-independent word speech recognition using the blurred orientation patterns obtained from the vector field of spectrum
Author :
Oka, Ryu-ichi ; Matsumura, Hiroshi
Author_Institution :
Electrotech. Lab., Ibaraki, Japan
Abstract :
A speech pattern is proposed and used to realize a speaker-independent word recognition system. The algorithm consists of two key concepts: utilization of a novel speech feature called the orientation feature, obtained from the vector field of the spectrum, and the application of a blurring operation to the orientation pattern in order to enhance and stabilize the phonemic features
Keywords :
computerised pattern recognition; speech recognition; blurred orientation patterns; feature enhancement; feature stabilization; orientation feature; phonemic features; speaker-independent word recognition system; spectrum; speech pattern; speech recognition; vector field; Error analysis; Frequency; Heuristic algorithms; Laboratories; Proposals; Speech enhancement; Speech recognition; Vectors;
Conference_Titel :
Pattern Recognition, 1988., 9th International Conference on
Conference_Location :
Rome
Print_ISBN :
0-8186-0878-1
DOI :
10.1109/ICPR.1988.28253
