Speech recognition chip for monosyllables

K. Nakamura, Qiang Zhu, S. Maruoka, T. Horiyama, S. Kimura, K. Watanabe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)


In the paper, we present a real-time speech recognition chip for monosyllables such as A,B,..., etc. The chip recognizes up to 64 monosyllables based on the Hidden Markov Model (HMM), which is a well known speaker-independent recognition method. The chip accepts a short-speech frame including 256 16-bit digitized samples corresponding to 11.6 ms period, and outputs the 6-bit symbol code of monosyllables for 16 short-frames (corresponding to 185.6 ms). A learning circuit to update HMM parameters for the recognition chip has also been designed, and the recognition chip includes an interface to the learning circuit. We have fabricated the recognition chip by the VDEC Rohm 0.6 μm process on a 4.5 mmx4.5 mm chip. We have also made a layout of the entire circuit including the learning circuit by the VDEC Rohm 0.35 μm process on a 4.9 mmx4.9 mm chip.

Original languageEnglish
Title of host publicationProceedings of the ASP-DAC 2001
Subtitle of host publicationAsia and South Pacific Design Automation Conference 2001
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages4
ISBN (Electronic)0780366336
Publication statusPublished - 2001
Externally publishedYes
EventAsia and South Pacific Design Automation Conference 2001, ASP-DAC 2001 - Yokohama, Japan
Duration: 2001 Jan 302001 Feb 2

Publication series

NameProceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC


OtherAsia and South Pacific Design Automation Conference 2001, ASP-DAC 2001


  • Algorithm design and analysis
  • Circuits
  • Feature extraction
  • Hardware
  • Hidden Markov models
  • Linear predictive coding
  • Speech analysis
  • Speech coding
  • Speech recognition
  • Vectors

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design
  • Electrical and Electronic Engineering


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