DocumentCode
2660226
Title
The Kohonen net for speaker dependent isolated word recognition
Author
Kepuska, Veton Z. ; Gowdy, John N.
Author_Institution
Dept. of Electr. & Comput. Eng., Clemson Univ., SC, USA
fYear
1988
fDate
0-0 1988
Firstpage
388
Abstract
Summary form only given, as follows. The authors evaluate the effectiveness of a neural-network model for use in a speech-recognition system. Performance of the model depends on many factors, including dimensionality of the network, number of neural units, type of neural units, and lateral feedback. They explore the effect of these parameters, as well as suitability and robustness of such a network for the task of speaker-dependent isolated-word discrimination. The model is tested using the Texas Instruments speech database.<>
Keywords
neural nets; speech recognition; Kohonen net; dimensionality; intelligent speech recognition; neural-network model; speaker dependent isolated word recognition; Instruments; Neural networks; Neurofeedback; Robustness; Speech recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
System Theory, 1988., Proceedings of the Twentieth Southeastern Symposium on
Conference_Location
Charlotte, NC, USA
ISSN
0094-2898
Print_ISBN
0-8186-0847-1
Type
conf
DOI
10.1109/SSST.1988.17081
Filename
17081
Link To Document