Title :
Speaker-independent speech recognition using an associative memory model
Author :
Ervin, Thomas C., II ; Kim, Jung H.
Author_Institution :
Dept. of Electr. Eng., North Carolina A&T State Univ., NC, USA
Firstpage :
0.666666666666667
Abstract :
A methodology for achieving isolated-utterance speech recognition with an associative recall algorithm has been proposed. Preliminary experimental results have proved this method to be quite robust in the recognition aspect. Speaker-independent recognition tests with a limited vocabulary yielded a 90% recognition rate with 10 different speakers
Keywords :
Hopfield neural nets; associative processing; speech recognition; Hopfield neural networks; associative memory model; associative recall algorithm; experimental results; isolated-utterance speech recognition; recognition rate; speaker independent speech recognition; vocabulary; Associative memory; Computer networks; Delay estimation; Linear predictive coding; Neural networks; Signal analysis; Signal processing; Speech analysis; Speech processing; Speech recognition;
Conference_Titel :
Southeastcon '93, Proceedings., IEEE
Conference_Location :
Charlotte, NC
Print_ISBN :
0-7803-1257-0
DOI :
10.1109/SECON.1993.465791
