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International Conference on Cognitive Computing and Information Processing

CCIP 2017: Cognitive Computing and Information Processing pp 324–330Cite as

Noisy Speech Recognition Using Kernel Fuzzy C Means

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 801))

Abstract

In the area of voice recognition, soft computing technique is a prominent method to identify and cluster speaker variability’s in the speech signal. But whenever the signal is convoluted by a noisy signal standard FCM method fails to give the good results. To overcome this, Kernel FCM (KFCM) is used in this paper. PCA helps in reducing the features of convoluted signal. The recognition results are compared with and without applying PCA using KFCM function and the same is presented for word recognition rate.

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References

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Acknowledgment

The authors remain thankful for all the persons who have helped us in understanding and formulating the paper. We acknowledge Dr. S. K. Katti, for making us to understand the mathematical concepts behind the soft computing techniques.

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Authors and Affiliations

  1. Sri Jayachamarajendra College of Engineering, Mysore, India

    H. Y. Vani & M. A. Anusuya

Authors
  1. H. Y. Vani
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  2. M. A. Anusuya
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Corresponding author

Correspondence to H. Y. Vani .

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Editors and Affiliations

  1. Sri Jayachamarajendra College of Engineering, Mysuru, Karnataka, India

    T.N. Nagabhushan

  2. Sri Jayachamarajendra College of Engineering, Mysuru, Karnataka, India

    V. N. Manjunath Aradhya

  3. JSS Academy of Technical Education, Bengaluru, Karnataka, India

    Prabhudev Jagadeesh

  4. JSS Academy of Technical Education, Noida, Uttar Pradesh, India

    Seema Shukla

  5. JSS Academy of Technical Education, Bengaluru, Karnataka, India

    Chayadevi M.L.

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© 2018 Springer Nature Singapore Pte Ltd.

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Cite this paper

Vani, H.Y., Anusuya, M.A. (2018). Noisy Speech Recognition Using Kernel Fuzzy C Means. In: Nagabhushan, T., Aradhya, V.N.M., Jagadeesh, P., Shukla, S., M.L., C. (eds) Cognitive Computing and Information Processing. CCIP 2017. Communications in Computer and Information Science, vol 801. Springer, Singapore. https://doi.org/10.1007/978-981-10-9059-2_29

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  • DOI: https://doi.org/10.1007/978-981-10-9059-2_29

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-9058-5

  • Online ISBN: 978-981-10-9059-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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