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A Spiking Neural Network Model for Sound Recognition

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Cognitive Systems and Signal Processing (ICCSIP 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 710))

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Abstract

This paper presents a spiking neural network (SNN) model of leaky integrate-and-fire (LIF) neurons for sound recognition, which provides a way to simulate the brain processes. Neural coding and learning by processing external stimulus and recognizing different patterns are important parts in SNN model. Based on features extracted from the time-frequency representation of sound, we present a time-frequency encoding method which can retain the adequate information of original sound and generate spikes from represented features. The generated spikes are further used to train the SNN model with plausible supervised synaptic learning rule to efficiently perform various classification tasks. By testing the encoding and learning methods in RWCP database, experiments demonstrate that the proposed SNN model can achieve the robust performance for sound recognition across a variety of noise conditions.

This work was supported by the National Natural Science Foundation of China under grant number 61673283.

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Author information

Authors and Affiliations

  1. Neuromorphic Computing Research Center, College of Computer Science, Sichuan University, Chengdu, China

    Rong Xiao, Rui Yan & Huajin Tang

  2. Department of Computer Science, City University of Hong Kong, Kowloon Tong, Hong Kong

    Kay Chen Tan

Authors
  1. Rong Xiao
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  2. Rui Yan
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  3. Huajin Tang
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  4. Kay Chen Tan
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Corresponding author

Correspondence to Huajin Tang .

Editor information

Editors and Affiliations

  1. Tsinghua University, Beijing, China

    Fuchun Sun

  2. Department of Computer Science and Technology, Tsinghua University, Beijing, China

    Huaping Liu

  3. College of Mechatronics and Automation, National University of Defense Technology, Changsha, China

    Dewen Hu

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Xiao, R., Yan, R., Tang, H., Tan, K.C. (2017). A Spiking Neural Network Model for Sound Recognition. In: Sun, F., Liu, H., Hu, D. (eds) Cognitive Systems and Signal Processing. ICCSIP 2016. Communications in Computer and Information Science, vol 710. Springer, Singapore. https://doi.org/10.1007/978-981-10-5230-9_57

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  • DOI: https://doi.org/10.1007/978-981-10-5230-9_57

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-5229-3

  • Online ISBN: 978-981-10-5230-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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