Determination of articulatory movements from speech acoustics using an HMM-based speech production model

Sadao Hiroya, Masaaki Honda

Research output: Contribution to journalConference article

Abstract

We present a method that determines articulatory movements from speech acoustics using an HMM (Hidden Markov Model)-based speech production model. The model statistically generates speech acoustics and articulatory movements from a given phonemic string. It consists of HMMs of articulatory movements for each phoneme and an articulatory-to-acoustic mapping. For a given speech acoustics, maximum likelihood estimation of the articulatory parameters is the statistical model is presented. An experiment was conducted to evaluate the method on sentences, and estimated articulatory parameters were compared with the observed parameters. The rms error of the estimated articulatory parameters is about 2.12 mm on average.

Original languageEnglish
Pages (from-to)I/437-I/440
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume1
Publication statusPublished - 2002 Jul 11
Event2002 IEEE International Conference on Acustics, Speech, and Signal Processing - Orlando, FL, United States
Duration: 2002 May 132002 May 17

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ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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