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Grapheme-to-phoneme transduction for cross-language ASR
Mark Hasegawa-Johnson
, Leanne Rolston
, Camille Goudeseune
, Gina Anne Levow
, Katrin Kirchhoff
Electrical and Computer Engineering
Coordinated Science Lab
Speech and Hearing Science
Linguistics
Beckman Institute for Advanced Science and Technology
Siebel School of Computing and Data Science
Center for Social & Behavioral Science
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Keyphrases
Target Language
100%
Cross-language
100%
Automatic Speech Recognition
100%
Pronunciation Lexicon
100%
Grapheme-to-phoneme
100%
Unseen
50%
Error Rate
50%
Native Speaker
50%
Training Data
50%
Acoustic Modeling
50%
Training Model
50%
Phylogeographic
50%
Neural Architecture
50%
Agglomerative Clustering
50%
Wikipedia
50%
Language Model
50%
Minimal Resources
50%
Family Tree
50%
Language Families
50%
Finite State Transducer
50%
Unknown Languages
50%
Computer Science
Speech Recognition
100%
Target Language
100%
Training Data
50%
Agglomerative Clustering
50%
Language Modeling
50%
Language Family
50%