DocumentCode
1909008
Title
Phoneme recognition based on multi-resolution and non-causal context
Author
Etemad, Kamran
Author_Institution
Dept. of Electr. Eng., Maryland Univ., College Park, MD, USA
fYear
1993
fDate
6-9 Sep 1993
Firstpage
343
Lastpage
352
Abstract
An alternative view of neural-network-based phoneme recognition using multiresolution ideas and noncausal context is suggested. Some suggestions are made regarding target and error weight functions to improve performance and simplify training. Based on these observations, a simple network with self recurrent links of different delays is proposed and tested on the task of speaker- independent recognition of unvoiced plosives, (p,t,k), with input feature vectors derived from an auditory model
Keywords
delays; recurrent neural nets; speech recognition; auditory model; delays; error weight functions; multiresolution ideas; neural-network-based phoneme recognition; noncausal context; self recurrent links; speaker- independent recognition; target functions; unvoiced plosives; Artificial neural networks; Automatic speech recognition; Automatic testing; Educational institutions; Humans; Natural languages; Neural networks; Signal design; Signal processing; Speech recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks for Processing [1993] III. Proceedings of the 1993 IEEE-SP Workshop
Conference_Location
Linthicum Heights, MD
Print_ISBN
0-7803-0928-6
Type
conf
DOI
10.1109/NNSP.1993.471854
Filename
471854
Link To Document