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TDNN

General Information
Name
TDNN (Time Delay Neural Network)
Source
i.n.a. (= ``information not available'')
Price
free of charge
Target usage
demonstration example; beginners

Model

Network Architecture
The network has one fixed, predefined topology for the recognition of the ten spoken digits 0-9 from continuous speech; the input layer consists of 16 x 11 units, i. e. the outputs of 15 frequency-domain bandpass-filters and one zero-crossing detector sampled at 10 equally spaced time points and one word endpoint.
Paradigms
Time Delay Neural Network
Limitations
Training takes exactly 64 iterations; training method not described. (see also network description above)

Implementation

Display
monochrome
User Interface
shell
Execution
By logging of commands
Data Format
ASCII files containing the paths and names of speech data files; 10 speech data files containing digitized speech data for an example of the spoken digits.
Evaluation
Scoring programs that calculate recognition accuracy based on an area and on a threshold criterion are enclosed with the package.
Performance

System Requirements

Hardware
PC
Operating System
DOS
Display
monochrome
Language
C, FORTRAN

Installation and Documentation

Installation
By lha in DOS
Sources available
Programs written and poorly commented in FORTRAN and C are included in the package.
Implementation language
C, FORTRAN
Documentation
Only a very short description of the files and programs is available. The simulation programs are broken up into five sub-directories. Front contains the feature extraction program. Prelearn contains the time delaying program. Learn contains the network training program. Recognize contains the testing program. And Useful contains several scoring programs, a segmentation program to isolate single digits from continuous speech based on network recognition, and a program to re-align (rejustify) the endpoints of the training digits.
Support
none
User Groups



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franz@neuro.informatik.uni-ulm.de
Wed Jan 19 23:46:24 MET 1994