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Development and Evaluation of Julius-Compatible Interface for Kaldi ASR

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Advances in Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2017)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 82))

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Abstract

In recent years, the use of Kaldi has rapidly grown because it has adopted various technologies of DNN-based speech recognition in succession and has shown high recognition performance. On the other hand, the speech recognition engine, Julius, has been widely used especially in Japan. Julius is also attracting attention since DNN-HMM is implemented in it. In this paper, we describe the design plan of interfaces that make Kaldi speech recognition engine be compatible with Julius, a system overview, and the details of the speech input unit and the recognition result output unit. We also refer to the functions that we are planning to implement.

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References

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Acknowledgment

Part of this work was supported by JSPS KAKENHI Grant Number JP26280055 and JP15H02720.

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Authors and Affiliations

  1. Graduate School of Engineering, Tohoku University, Aramaki Aza-Aoba 6–6–05, Aoba-ku, Sendai-shi, Miyagi, 980–8579, Japan

    Yusuke Yamada, Takashi Nose, Yuya Chiba & Akinori Ito

  2. Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology, 4259 Nagatsuta-cho, Midori-ku, Yokohama, 226-8502, Japan

    Takahiro Shinozaki

Authors
  1. Yusuke Yamada
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  2. Takashi Nose
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  3. Yuya Chiba
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  4. Akinori Ito
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  5. Takahiro Shinozaki
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Corresponding author

Correspondence to Yusuke Yamada .

Editor information

Editors and Affiliations

  1. Fujian Provincial Key Lab of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, Fujian, China

    Jeng-Shyang Pan

  2. Swinburne University of Technology, Hawthorn, Victoria, Australia

    Pei-Wei Tsai

  3. Universiti Teknologi Petronas, Teronoh, Malaysia

    Junzo Watada

  4. University of Canberra, Bruce, Aust Capital Terr, Australia

    Lakhmi C. Jain

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Yamada, Y., Nose, T., Chiba, Y., Ito, A., Shinozaki, T. (2018). Development and Evaluation of Julius-Compatible Interface for Kaldi ASR. In: Pan, JS., Tsai, PW., Watada, J., Jain, L. (eds) Advances in Intelligent Information Hiding and Multimedia Signal Processing. IIH-MSP 2017. Smart Innovation, Systems and Technologies, vol 82. Springer, Cham. https://doi.org/10.1007/978-3-319-63859-1_12

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  • DOI: https://doi.org/10.1007/978-3-319-63859-1_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-63858-4

  • Online ISBN: 978-3-319-63859-1

  • eBook Packages: EngineeringEngineering (R0)

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