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Fourier Transform, Short-Time Fourier Transform, and Wavelet Transform

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Speech Enhancement Techniques for Digital Hearing Aids

Abstract

This chapter presents information about the Fourier transform (FT), short-time Fourier transform (STFT), and wavelet transform. This chapter also covers use of this transform in speech signal processing.

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References

  1. Dhar, P. K., & Shimamura, T. (2015). Advances in audio watermarking based on singular value decomposition. Cham: Springer.

    Book  Google Scholar 

  2. Thanki, R., Borisagar, K., & Borra, S. (2018). Advance compression and watermarking technique for speech signals. Cham: Springer.

    Book  Google Scholar 

  3. Bebis, G. (2001). Short time Fourier transform (STFT). Image processing fundamentals. CS474/674.

    Google Scholar 

  4. Resnikoff, H. L., & Raymond Jr., O. (2012). Wavelet analysis: the scalable structure of information. Cham: Springer.

    MATH  Google Scholar 

  5. Leisenberg M (1995). Hearing aids for the profoundly deaf based on neural net speech processing. In ICASSP-95, 1995 I.E. International Conference on Acoustics, Speech, and Signal Processing (Vol 5, pp. 3535–3538). Piscataway: IEEE.

    Google Scholar 

  6. Agbinya, J. I. (1996). Discrete wavelet transform techniques in speech processing. In TENCON ’96. Proceedings, 1996 I.E. TENCON. Digital Signal Processing Applications (Vol. 2, pp. 514–519). Piscataway: IEEE.

    Google Scholar 

  7. Xueying, Z., & Zhiping, J. (2004). Speech recognition based on auditory wavelet packet filter. In Proceedings of 7th International Conference on Signal Processing, 2004. ICSP ’04 (Vol 1, pp. 695–698).

    Google Scholar 

  8. Agbinya, J. I. (1996). Discrete wavelet transform techniques in speech processing. In TENCON’96. Proceedings, 1996 I.E. TENCON. Digital Signal Processing Applications (Vol. 2, pp. 514–519).

    Google Scholar 

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Borisagar, K.R., Thanki, R.M., Sedani, B.S. (2019). Fourier Transform, Short-Time Fourier Transform, and Wavelet Transform. In: Speech Enhancement Techniques for Digital Hearing Aids. Springer, Cham. https://doi.org/10.1007/978-3-319-96821-6_4

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  • DOI: https://doi.org/10.1007/978-3-319-96821-6_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-96820-9

  • Online ISBN: 978-3-319-96821-6

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