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G2PU: GRAPHEME-TO-PHONEME TRANSDUCER WITH SPEECH UNITS
Heting Gao
,
Mark Hasegawa-Johnson
, Chang D. Yoo
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
Social & Behavioral Sciences Institute
Research output
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Chapter in Book/Report/Conference proceeding
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Conference contribution
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Keyphrases
Phoneme
100%
Speech Units
100%
Grapheme-to-phoneme
100%
Error Rate
40%
Acoustic Modeling
40%
Simultaneous Speech
40%
Forced Alignment
40%
Acoustics
20%
System Work
20%
Text-dependent
20%
Encoder
20%
Simultaneous Optimization
20%
Encoder-decoder
20%
Attention Model
20%
Alignment System
20%
Grapheme
20%
Parallel Texts
20%
CTC-attention
20%
Engineering
Transducer
100%
Grapheme
100%
Error Rate
66%
Joints (Structural Components)
33%
Computer Science
Open Source
100%
Case Study
100%
Physics
Transducer
100%
Phoneme
100%