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Unsupervised noise reduction scheme for voice-based information retrieval in mobile environments

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Abstract

This study proposes an unsupervised noise reduction scheme that improves the performance of voice-based information retrieval tasks in mobile environments. Various types of noises could interfere with speech processing tasks, and noise reduction has become an essential technique in this field. In particular, noise reduction needs to be carefully processed in mobile environments based on the speech coding system and the client-server architecture. In this study, we propose an effective noise reduction scheme that employs the adaptive comb filtering technique. A way of directly using several codec parameters during the filtering process is also investigated. In particular, we modify the conventional comb filter using line spectral pair parameters. To verify the efficiency of the proposed noise reduction approach, we conducted speech recognition experiments using the Aurora2 database. Our approach provided superior recognition performance under various noise conditions compared to the conventional techniques.

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Acknowledgments

This research was supported by NAP (National Agenda Project) of the Korea Research Council of Fundamental Science and Technology, and the Converging Research Center Program through the Ministry of Science, ICT and Future Planning, Korea (2013K000358)

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Authors and Affiliations

  1. Department of Intelligent Robot Engineering, Mokwon University, Daejeon, Republic of Korea

    Jeong-Sik Park

  2. School of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, Republic of Korea

    Gil-Jin Jang

  3. Department of Computer Science and Engineering, Sogang University, Seoul, Republic of Korea

    Ji-Hwan Kim

  4. Division of Computer Engineering, Mokwon University, Daejeon, Republic of Korea

    Sang-Soo Yeo

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  1. Jeong-Sik Park
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  2. Gil-Jin Jang
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  3. Ji-Hwan Kim
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  4. Sang-Soo Yeo
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Correspondence to Gil-Jin Jang.

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Park, JS., Jang, GJ., Kim, JH. et al. Unsupervised noise reduction scheme for voice-based information retrieval in mobile environments. Multimed Tools Appl 75, 4981–4996 (2016). https://doi.org/10.1007/s11042-013-1788-y

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  • DOI: https://doi.org/10.1007/s11042-013-1788-y

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