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An Automatic Acquisition of Acoustical Units for Speech Recognition Based on Hidden Markov Network

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Discovery Science (DS 1999)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1721))

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4 Conclusion

We have proposed a method to acquire speech recognition units automatically. From the experimental results, vowel-consonant type acoustic segments were obtained.

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References

  1. Nakagawa, S. and Saito, M.: Speech recognition using automatically acquired units based on ergodic HMMs. Technical Report of IEICE, SP97-9. (1997) 55–62

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  2. Hayashi, T., Mori, H., Suzuki, M., Makino, S. and Aso, H.: Speech recognition using acoustic segment model based on Hidden Markov Network. Proc. ICSP’99. (1999)

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  3. Suzuki, M., Makino, S., Ito, A., Aso, H. and Shimodaira, H.: A New HMnet Construction Algorithm Requiring No Contextual Factors. IEICE Trans. Inf. & Syst., E78-D,6. (1995) 662–668

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Author information

Authors and Affiliations

  1. Graduate School of Information Sciences / Computer Center, Tohoku Univ., 980-8578, Japan

    Motoyuki Suzuki & Shozo Makino

  2. Graduate School of Engineering, Tohoku Univ., Japan

    Takafumi Hayashi & Hirotomo Aso

  3. Faculty of Engineering, Utsunomiya Univ., Utsunomiya

    Hiroki Mori

Authors
  1. Motoyuki Suzuki
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  2. Takafumi Hayashi
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  3. Hiroki Mori
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  4. Shozo Makino
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  5. Hirotomo Aso
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Editor information

Editors and Affiliations

  1. Department of Informatics, Kyushu University, 6-10-1 Hakozaki, Higashi-ku, Fukuoka, 812-8581, Japan

    Setsuo Arikawa

  2. Graduate School of Media and Governance, Keio University, 5322 Endoh, Fujisawa-shi, Kanagawa, 252-8520, Japan

    Koichi Furukawa

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© 1999 Springer-Verlag Berlin Heidelberg

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Suzuki, M., Hayashi, T., Mori, H., Makino, S., Aso, H. (1999). An Automatic Acquisition of Acoustical Units for Speech Recognition Based on Hidden Markov Network. In: Arikawa, S., Furukawa, K. (eds) Discovery Science. DS 1999. Lecture Notes in Computer Science(), vol 1721. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46846-3_47

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  • DOI: https://doi.org/10.1007/3-540-46846-3_47

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66713-1

  • Online ISBN: 978-3-540-46846-2

  • eBook Packages: Springer Book Archive

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