Decision trees for phonological rules in continuous speech

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 co...

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Bibliographic Details
Main Authors: Bahl, L.R., deSouza, P.V., Gopalakrishnan, P.S., Nahamoo, D., Picheny, M.A.
Format: Conference Proceeding
Language:English
Subjects:
Context modeling
Data mining
Decision trees
Feature extraction
Natural languages
Oils
Spatial databases
Speech recognition
Training data
Vocabulary
Online Access:Request full text
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Summary: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.< >
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.1991.150308