Decision trees for phonological rules in continuous speech

Author

Bahl, L.R. ; deSouza, P.V. ; Gopalakrishnan, P.S. ; Nahamoo, D. ; Picheny, M.A.

Author_Institution

IBM Thomas Watson Res. Center, Yorktown Heights, NY, USA

fYear

1991

fDate

14-17 Apr 1991

Firstpage

185

Abstract

The authors present an automatic method for modeling phonological variation using decision trees. For each phone they construct a decision tree that specifies the acoustic realization of the phone as a function of the context in which it appears. Several-thousand sentences from a natural language corpus spoken by several speakers are used to construct these decision trees. Experimental results on a 5000-word vocabulary natural language speech recognition task are presented

Keywords

acoustic signal processing; speech analysis and processing; speech recognition; trees (mathematics); acoustic models; continuous speech; decision trees; natural language speech recognition; phonological rules; sentences; vocabulary; Context modeling; Data mining; Decision trees; Feature extraction; Natural languages; Oils; Spatial databases; Speech recognition; Training data; Vocabulary;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on

Conference_Location

Toronto, Ont.

ISSN

1520-6149

Print_ISBN

0-7803-0003-3

Type

conf

DOI

10.1109/ICASSP.1991.150308

Filename

150308

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1902466