Abstract
The paper describes the design of a new single-channel method for speech enhancement that employs the wavelet transform. Signal decomposition is currently performed in the time domain while noise is removed on individual decomposition levels using thresholding techniques. Here the wavelet transform is applied in the spectral domain. Used as the basis is the method of spectral subtraction, which is suitable for real-time implementation because of its simplicity. The greatest problem in the spectral subtraction method is a trustworthy noise estimate, in particular when non-stationary noise is concerned. Using the wavelet transform we can achieve a more accurate power spectral density also of noise that is non-stationary. Listening tests and SNR measurements yield satisfactory results in comparison with earlier reported experience.
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Smékal, Z., Sysel, P. (2007). Single-Channel Noise Suppression by Wavelets in Spectral Domain. In: Esposito, A., Faundez-Zanuy, M., Keller, E., Marinaro, M. (eds) Verbal and Nonverbal Communication Behaviours. Lecture Notes in Computer Science(), vol 4775. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76442-7_14
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DOI: https://doi.org/10.1007/978-3-540-76442-7_14
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