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CCF National Conference on Computer Engineering and Technology

NCCET 2016: Computer Engineering and Technology pp 149–156Cite as

Monaural Speech Separation on Many Integrated Core Architecture

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 666))

Abstract

Monaural speech separation is a challenging problem in practical audio analysis applications. Non-negative matrix factorization (NMF) is one of the most effective methods to solve this problem because it can learn meaningful features from a speech dataset in a supervised manner. Recently, a semi-supervised method, i.e., transductive NMF (TNMF), has shown great power to separate speeches from different individuals by incorporating both training and testing data in learning the dictionary. However, both NMF-based and TNMF-based monaural speech separation approaches have high computational complexity, and prohibit them from real-time processing. In this paper, we implement TNMF-based monaural speech separation on many integrated core (MIC) architecture to meet the requirement of real-time speech separation. This approach conducts parallelism based on the OpenMP technology, and performs the computing intensitive matrix manipulations on a MIC coprocessor. The experimental results confirm the efficiency of our implementation of monaural speech separation on MIC architecture.

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Acknowledgments

This work was supported by National High Technology Research and Development Program “863” Program) of China (under grant No. 2015AA01A301) and National Natural Science Foundation of China (under grant No. 61502515).

Author information

Authors and Affiliations

  1. Institute of Computers, College of Computer, National University of Defence Technology, Changsha, 410073, Hunan, China

    Wang He & Xu Weixia

  2. Institute of Software, College of Computer, National University of Defence Technology, Changsha, 410073, Hunan, China

    Guan Naiyang & Yang Canqun

Authors
  1. Wang He
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  2. Xu Weixia
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  3. Guan Naiyang
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  4. Yang Canqun
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Corresponding author

Correspondence to Wang He .

Editor information

Editors and Affiliations

  1. National University of Defense Technology, Changsha, China

    Weixia Xu

  2. National University of Defense Technology, Changsha, China

    Liquan Xiao

  3. National University of Defense Technology, Changsha, China

    Jinwen Li

  4. National University of Defense Technology, Changsha, China

    Chengyi Zhang

  5. National University of Defense Technology, Changsha, China

    Zhenzhen Zhu

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© 2016 Springer Nature Singapore Pte Ltd.

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He, W., Weixia, X., Naiyang, G., Canqun, Y. (2016). Monaural Speech Separation on Many Integrated Core Architecture. In: Xu, W., Xiao, L., Li, J., Zhang, C., Zhu, Z. (eds) Computer Engineering and Technology. NCCET 2016. Communications in Computer and Information Science, vol 666. Springer, Singapore. https://doi.org/10.1007/978-981-10-3159-5_14

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  • DOI: https://doi.org/10.1007/978-981-10-3159-5_14

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3158-8

  • Online ISBN: 978-981-10-3159-5

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