Abstract
Speech enhancement is very essential for voice communication and speech recognition systems. It has wide range of applications like background noise suppression for mobile communications and voice coding. One of its best applications is to provide aids to hearing impaired people. Many speech enhancement algorithms have been existing in the literature. These algorithms are broadly classified as time and transform domain techniques. This chapter, being an introduction explores the various time and transform domain techniques such as artificial neural networks, discrete Fourier transform, discrete cosine transform, discrete wavelet transform, and Karhunen–Loeve transform based methods for speech enhancement.
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Kunche, P., Manikanthababu, N. (2020). Introduction. In: Fractional Fourier Transform Techniques for Speech Enhancement. SpringerBriefs in Speech Technology. Springer, Cham. https://doi.org/10.1007/978-3-030-42746-7_1
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DOI: https://doi.org/10.1007/978-3-030-42746-7_1
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