The Effect of Speech Enhancement Techniques on the Quality of Noisy Speech Signals

Recently, the human voice has been used widely in different modern applications. However, environmental noise represents one of the significant challenges for these types of speech applications since it affects the quality of the speech signal caused by decreasing the Signal to Noise Ratio (SNR). Sp...

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Bibliographic Details
Published inNew Trends in Information and Communications Technology Applications pp. 33 - 48
Main Authors Al-Noori, Ahmed H. Y., AlKhayyat, Atheel N., Al-Hammad, Ahmed A.
Format Book Chapter
LanguageEnglish
Published Cham Springer International Publishing
SeriesCommunications in Computer and Information Science
Subjects
Environmental noise
Spectral subtraction
Speech enhancement
Subspace approaches
Wiener filter
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Summary:Recently, the human voice has been used widely in different modern applications. However, environmental noise represents one of the significant challenges for these types of speech applications since it affects the quality of the speech signal caused by decreasing the Signal to Noise Ratio (SNR). Speech enhancement techniques represent one of the remedies for this challenge. This paper presents a study of speech cleaning techniques to improve the quality of noisy speech signals in different environmental noise and SNR based on human perception. The study is based on the human auditory system for 50 volunteers. Three types of speech enhancement algorithms are utilised in this study. Despite the results, these enhancement techniques’ effects are invariant based on the kind of noise and the value of the Signal to Noise Ratio. Still, the subspace approach performs better than the other two approaches, especially with the high SNR.
ISBN:9783030934163
3030934160
ISSN:1865-0929
1865-0937
DOI:10.1007/978-3-030-93417-0_3