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KARAFIÁT, M., GRÉZL, F.
Original Title
Using MATLAB for Analysis of TRAP system
Type
journal article - other
Language
English
Original Abstract
This article describes a Matlab function for reading and processing file outputs from a structure of classifiers. These classifiers - neural nets - are used in speech recognition based on temporal trajectories (TRAP) of energy in frequency bands. This nonstandard approach is introduced and the program is presented. The utility of resulting figures is enhanced by the possibility of reading and displaying results from all critical bands at once. Resulting analyses are more focused on the reliability of classifiers than on the basic accuracy measure. The first uses colors and their depth to display both cues, reliability and accuracy, in one informative picture. Others are focused on more precise measures, where it is possible to precisely define classifier mistakes.
Keywords
TRAP, speech recognition, features extraction, estimated probability analysis
Authors
RIV year
2003
Released
1. 12. 2003
ISBN
1210-2512
Periodical
Radioengineering
Year of study
Number
4
State
Czech Republic
Pages from
38
Pages to
41
Pages count
BibTex
@article{BUT42299, author="Martin {Karafiát} and František {Grézl}", title="Using MATLAB for Analysis of TRAP system", journal="Radioengineering", year="2003", volume="2003", number="4", pages="38--41", issn="1210-2512" }