A transcription-based approach to determine the difficulty of a speech recognition task

Author

García, P. ; Rubio, A.J. ; Díaz-Verdejo, J. ; Benítez, M.C. ; Lopez-Soler, J.M.

Author_Institution

Dept. de Electron. y Tecnologia de Computadores, Granada Univ., Spain

Volume

7

Issue

3

fYear

1999

fDate

5/1/1999 12:00:00 AM

Firstpage

339

Lastpage

342

Abstract

A new parameter for estimating the difficulty of a continuous speech recognition task, called speech decoding difficulty, is presented. It is obtained from the language model defined for the recognition task and the phonetic similarity between the transcriptions of the words that make up the vocabulary used. Two variants of the proposed task difficulty measure are introduced: ideal speech decoding difficulty (ISDD), which is not influenced by practical considerations on the recognition system implemented, and a second, more realistic variant, called practical speech decoding difficulty (PSDD) to study the performance of a specific recognition system when confronting a given task

Keywords

decoding; parameter estimation; speech coding; speech recognition; continuous speech recognition task difficulty; ideal speech decoding difficulty; language model; parameter estimation; phonetic similarity; practical speech decoding difficulty; recognition system performance; transcription-based approach; vocabulary; Acoustic testing; Character recognition; Loudspeakers; Maximum likelihood decoding; Maximum likelihood estimation; Natural languages; Parameter estimation; Speech recognition; System testing; Vocabulary;

fLanguage

English

Journal_Title

Speech and Audio Processing, IEEE Transactions on

Publisher

ieee

ISSN

1063-6676

Type

jour

DOI

10.1109/89.759043

Filename

759043