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Comparison of Speech Recognition Performance Between Kaldi and Google Cloud Speech API

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Recent Advances in Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2018)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 110))

Abstract

In recent years, many systems having a speech interface have grown. The speech interface includes spoken dialogue function and high performance of a spoken dialogue system has been required. The spoken dialogue system consists of a speech recognition module. In this study, we focus on the speech recognition module of the spoken dialogue system and aim for improving the spoken dialogue system by enhancing the performance of the speech recognition system. Among several speech recognition systems, Kaldi is a widely used speech recognition system in many kinds of researches. On the other hand, several speech recognition services that are Web API is also provided, such as IBM Watson Speech to Text, Microsoft Bing Speech API, and Google Cloud Speech API, which is known that it has high performance. This paper compares speech recognition performance between Kaldi and Google Cloud Speech API in WER and RTF and confirms the recognition performance of each recognition system.

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Notes

  1. 1.

    https://cloud.google.com/speech-to-text/.

  2. 2.

    https://www.ibm.com/watson/jp-ja/developercloud/speech-to-text.html.

  3. 3.

    https://azure.microsoft.com/ja-jp/services/cognitive-services/speech/.

  4. 4.

    http://chasen.naist.jp/snapshot/ipadic/ipadic/doc/ipadic-ja.pdf.

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Acknowledgment

Part of this work was supported by JSPS KAKENHI Grant Numbers JP17H00823.

Author information

Authors and Affiliations

  1. Graduate School of Engineering, Tohoku University, 6-6-04, Aramaki Aza Aoba Aoba-ku, Sendai-shi, Miyagi, 980-8579, Japan

    Takashi Kimura, Takashi Nose, Yuya Chiba & Akinori Ito

  2. R&D Center, Hmcomm Co., Ltd., 2-11-1, Shibadaimon, Minato-ku, Tokyo, 105-0012, Japan

    Shinji Hirooka

  3. Faculty of Science, Chiba University, 1-33, Yayoi-cho, Inage-ku, Chiba-shi, Chiba, 263-8522, Japan

    Shinji Hirooka

Authors
  1. Takashi Kimura
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  2. Takashi Nose
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  3. Shinji Hirooka
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  4. Yuya Chiba
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  5. Akinori Ito
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Corresponding author

Correspondence to Akinori Ito .

Editor information

Editors and Affiliations

  1. College of Information Science and Engineering, Fujian University of Technology, Fuzhou, Fujian, China

    Jeng-Shyang Pan

  2. Graduate School of Engineering, Tohoku University, Sendai, Miyagi, Japan

    Akinori Ito

  3. Swinburne University of Technology, Hawthorn, VIC, Australia

    Pei-Wei Tsai

  4. Centre for Artificial Intelligence, Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW, Australia

    Lakhmi C. Jain

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Kimura, T., Nose, T., Hirooka, S., Chiba, Y., Ito, A. (2019). Comparison of Speech Recognition Performance Between Kaldi and Google Cloud Speech API. In: Pan, JS., Ito, A., Tsai, PW., Jain, L. (eds) Recent Advances in Intelligent Information Hiding and Multimedia Signal Processing. IIH-MSP 2018. Smart Innovation, Systems and Technologies, vol 110. Springer, Cham. https://doi.org/10.1007/978-3-030-03748-2_13

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