Rejection technique based on the mumble model

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F02%3A00000251" target="_blank" >RIV/49777513:23520/02:00000251 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Rejection technique based on the mumble model

Original language description

A technique for detection and rejection of incorrectly recognized words is described. The used speech recognition system is based on a speaker-independent continuous density Hidden Markov Model recognizer and so-called mumble model. The new method is fully statistically based. Therefore selection of features for training and classification, procedures for statistical models parameters estimation, and experimental results are reported. The rejection technique achieves approximately 12% equal error rate in detection of incorrectly recognized words.

Czech name

Technika zamítnutí založená na modelu výplně

Czech description

V článku je popsána technika pro detekci a zamítnutí nesprávně rozpoznaných slov. Využitý systém rozpoznávání řeči je založen na HMM se spojitými hustotními funkcemi a tzv. výplňovém modelu. Nová metoda je plně statistická.

Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JD - Use of computers, robotics and its application

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2002

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Lecture Notes in Artificial Intelligence

ISSN

0302-9743

e-ISSN

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Volume of the periodical

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Issue of the periodical within the volume

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Country of publishing house

DE - GERMANY

Number of pages

8

Pages from-to

221

UT code for WoS article

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EID of the result in the Scopus database

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