ACL RD-TEC 1.0 Summarization of H93-1023

Paper Title:
TOPIC AND SPEAKER IDENTIFICATION VIA LARGE VOCABULARY CONTINUOUS SPEECH RECOGNITION

Authors: Barbara Peskin and Larry Gillick and Yoshiko Ito and Stephen Lowe and Robert Roth and Francesco Scattone and James Baker and Janet Baker and John Bridle and Melvyn Hunt and Jeremy Orloff

Other assigned terms:

  • acoustic model
  • acoustic models
  • approach
  • backoff
  • binomial distribution
  • case
  • classification problem
  • conditional probability
  • contextual information
  • continuous speech
  • conversational speech
  • corpora
  • data consortium
  • distribution
  • duration
  • frame
  • function words
  • hypotheses
  • hypothesis
  • identification task
  • keyword
  • labeling
  • language model
  • language models
  • likelihood
  • linguistic
  • linguistic data
  • linguistic data consortium
  • mapping
  • message
  • method
  • model context
  • noise
  • null hypothesis
  • parameter space
  • phoneme
  • phonemes
  • preprocessor
  • prior probability
  • probabilities
  • probability
  • probability model
  • process
  • pronunciation
  • recognition task
  • scoring model
  • segments
  • silence
  • speech data
  • statistic
  • stochastic model
  • switchboard corpus
  • technology
  • term
  • test material
  • test set
  • text
  • textual corpora
  • theoretical framework
  • theory
  • topic identification task
  • topics
  • training
  • training corpus
  • training data
  • training material
  • training text
  • transcribed switchboard
  • transcript
  • transcriptions
  • transcripts
  • transformation
  • unigram
  • vocabulary
  • word
  • word frequencies
  • word frequency
  • word pronunciation
  • word sequence
  • word sequences
  • word strings
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

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