Phrase recognition in conversational speech using prosodic and phonemic information

Shigeki Okawa*, Takashi Endo, Tetsunori Kobayashi, Katsuhiko Shirai

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


In this paper, a new scheme for phrase recognition in conversational speech is proposed, in which prosodic and phonemic information processing are usefully combined. This approach is employed both to produce candidates of phrase boundaries and to discriminate phonemes. The fundamental frequency patterns of continuous utterances are statistically analyzed and the likelihood of the occurrence of a phrase boundary is calculated for every frame. At the same time, the likelihood of phonemic characteristics of each frame can be obtained using a hierarchical clustering method. These two scores, along with lexical and grammatical constraints, can be effectively utilized to develop a possible word sequences or a word lattices which correspond to the continuous speech utterances. Our preliminary experiment shows the feasibility of applying prosody for continuous speech recognition especially for conversational style utterances.

Original languageEnglish
Pages (from-to)44-50
Number of pages7
JournalIEICE Transactions on Information and Systems
Issue number1
Publication statusPublished - 1993 Jan 1

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Artificial Intelligence


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