ACL RD-TEC 1.0 Summarization of W03-0204

Paper Title:
PLASER: PRONUNCIATION LEARNING VIA AUTOMATIC SPEECH RECOGNITION

Authors: Brian Mak and Manhung Siu and Mimi Ng and Yik-Cheung Tam and Yu-Chung Chan and Kin-Wah Chan and Ka-Yee Leung and Simon Ho and Jimmy Wong and Jacqueline Lo

Other assigned terms:

  • accent
  • acoustic models
  • american english
  • american english timit
  • approach
  • case
  • chinese translation
  • classification accuracy
  • classification problem
  • confidence score
  • confidence scores
  • data set
  • dictionary
  • duration
  • evaluations
  • fact
  • feature
  • foreign language
  • gaussian mixture
  • gaussian mixture model
  • implementation
  • index
  • knowledge
  • likelihood
  • log-likelihood
  • log-likelihood ratio
  • markov models
  • measure
  • method
  • model combination
  • noise
  • pause
  • phoneme
  • phonemes
  • phonemic transcription
  • posterior
  • posterior probability
  • probability
  • pronunciation
  • pronunciation quality
  • questionnaire
  • recognition accuracy
  • relative error reduction
  • segments
  • sentence
  • sentences
  • sigmoid function
  • silence
  • speech data
  • statistical models
  • statistics
  • symbols
  • system design
  • teaching
  • technologies
  • technology
  • test set
  • timit corpus
  • training
  • training data
  • training set
  • transcriptions
  • user
  • utterance
  • viterbi path
  • vocal tract
  • vowel
  • word
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

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