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A Robust, Real-Time Voice Activity Detection Algorithm for Embedded Mobile Devices

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Abstract

When an Automatic Speech Recognition (ASR) system is applied in noisy environments, Voice Activity Detection (VAD) is crucial to the performance of the overall system. The employment of the VAD for ASR on embedded mobile systems will minimize physical distractions and make the system convenient to use. Conventional VAD algorithm is of high complexity, which makes it unsuitable for embedded mobile devices; or of low robustness, which holds back its application in mobile noisy environments. In this paper, we propose a robust VAD algorithm specifically designed for ASR on embedded mobile devices. The architecture of the proposed algorithm is based on a two-level decision making strategy, where there is an interaction between a lower features-based level and subsequent decision logic based on a finite-state machine. Many discriminating features are employed in the lower level to improve the robustness of the VAD. The two-level decision strategy allows different features to be used in different states and reduces the cost of the algorithm, which makes the proposed algorithm suitable for embedded mobile devices. The evaluation experiments show the proposed VAD algorithm is robust and contribute to the overall performance gain of the ASR system in various acoustic environments.

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Authors and Affiliations

  1. Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai, 200030, People's Republic of China

    Bian Wu

  2. Motorola Labs China Research Center, 38F, CITIC Square, 1168 Nanjing Rd., W. Shanghai, 200041, People's Republic of China

    Xiaolin Ren

  3. Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai, 200030, People's Republic of China

    Chongqing Liu

  4. Motorola Labs China Research Center, 38F, CITIC Square, 1168 Nanjing Rd., W. Shanghai, 200041, People's Republic of China

    Yaxin Zhang

Authors
  1. Bian Wu
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  2. Xiaolin Ren
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  3. Chongqing Liu
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  4. Yaxin Zhang
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Correspondence to Bian Wu.

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Wu, B., Ren, X., Liu, C. et al. A Robust, Real-Time Voice Activity Detection Algorithm for Embedded Mobile Devices. Int J Speech Technol 8, 133–146 (2005). https://doi.org/10.1007/s10772-005-2165-7

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  • DOI: https://doi.org/10.1007/s10772-005-2165-7

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