Amanote Research
Register
Sign In
Hierarchical Bayesian Language Models for Conversational Speech Recognition
IEEE Transactions on Audio, Speech, and Language Processing
doi 10.1109/tasl.2010.2040782
Full Text
Open PDF
Abstract
Available in
full text
Date
November 1, 2010
Authors
S Renals
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Related search
Latent Semantic Information in Maximum Entropy Language Models for Conversational Speech Recognition
Generating and Evaluating Segmentations for Automatic Speech Recognition of Conversational Telephone Speech
Latent Words Recurrent Neural Network Language Models for Automatic Speech Recognition
IEICE Transactions on Information and Systems
Electronic Engineering
Pattern Recognition
Hardware
Computer Vision
Electrical
Architecture
Artificial Intelligence
Software
Hierarchical Bayesian Image Models
Recognition of Conversational Telephone Speech Using the JANUS Speech Engine
Discriminative Syntactic Language Modeling for Speech Recognition
Assessing Single- And Dual-Process Accounts of Recognition Memory Using Hierarchical Bayesian Models
Personalizing Gesture Recognition Using Hierarchical Bayesian Neural Networks
Ways to Improve N-Gram Language Models for OCR and Speech Recognition of Slavic Languages
The Advanced Science Journal
