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Prosodic features for a maximum entropy language model
Oscar Chan
Research output
:
Thesis
›
Doctoral Thesis
434
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Dive into the research topics of 'Prosodic features for a maximum entropy language model'. Together they form a unique fingerprint.
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Engineering
Maximum Entropy
100%
Automatic Speech Recognition
66%
Applicability
33%
Fundamental Frequency
33%
Larger Quantity
33%
Speech Signal
33%
Feature Model
33%
Extracted Feature
33%
Computational Cost
33%
Error Rate
33%
Computer Science
Maximum Entropy
100%
Language Modeling
100%
Speech Recognition
50%
Modeling Information
16%
Dimensionality Reduction
16%
Maximum Entropy Model
16%
Speech Recognition System
16%
Fundamental Frequency
16%
Computational Cost
16%
Training Data
16%
Extracted Feature
16%
Word Error Rate
16%
Requirements Models
16%
Social Sciences
Language Modeling
100%
Speech Recognition
66%
Prosody
33%
Word Recognition
16%
Standard Language
16%
Earth and Planetary Sciences
Speech Recognition
100%
Acoustic Data
25%