Implementation of the POW (phonetically optimized words) algorithm for speech database

Author

Lim, Yeonja ; Lee, Youngjik

Author_Institution

Autom. Interpretation Section, Electron. & Telecommun. Res. Inst., Seoul, South Korea

Volume

1

fYear

1995

fDate

9-12 May 1995

Firstpage

89

Abstract

The paper proposes the concept of the POW (phonetically optimized words) set. To collect a speech database, all possible phonological phenomenon should be included. In addition, it is preferable to have the same phonological distribution as the general speech. For this purpose, the authors suggest a new algorithm for selecting a word set which has the properties that (1) it includes all phonological events, (2) it has the minimal number of words, and (3) the phonological similarity between the POW set and the high-frequency word set is maximized. The authors extract the Korean POW set from 50000 high-frequency words out of 3 million text corpus. The POW set is much more similar to the high-frequency word set than the PBW (phonetically balanced words) set with less number of words

Keywords

natural languages; speech recognition; Korean; POW; algorithm; phonetically optimized words; phonological distribution; speech database; word set; Databases; Entropy; Error analysis; Frequency; Information theory; Large-scale systems; Speech recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on

Conference_Location

Detroit, MI

ISSN

1520-6149

Print_ISBN

0-7803-2431-5

Type

conf

DOI

10.1109/ICASSP.1995.479280

Filename

479280