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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/7854
Title: Subjective and objective analysis of speech enhancement algorithms for single channel speech patterns of Indian and English languages
Authors: Singh S.
Tripathy, Manoj
Anand, Radhey Shyam
Published in: IETE Technical Review (Institution of Electronics and Telecommunication Engineers, India)
Abstract: This paper presents a comparative study among the seven single channel speech enhancement techniques such as spectral subtraction, Wiener filtering, minimum mean square error under speech presence uncertainty (MMSE-SPU), p-MMSE, log-MMSE and modulation channel selection (MCS). For the investigation of the capability of these techniques, 12 different practical noises on five different language databases were used. The result was analysed based on subjective and objective measure. In subjective measure SNR, peak signal-to-noise ratio (PSNR), segmental-SNR (SSNR) and mean square error (MSE) were considered, whereas for objective measure speech the intelligibility index was taken. The different language (Hindi, Kannada, Malayalam, Bengali and English) databases were taken from the Noizeus speech corpus and IIIT-H Indic speech database, while the noise database was obtained from the Noizex-92 noise corpus. The algorithms were implemented in MATLAB. The results obtained are very encouraging and helpful in the selection of single channel speech enhancement technique for practical application-based noise reduction. Further, among all the mentioned methods, MCS shows overall better performance for the five languages and 12 different practical noises. Copyright © 2014 by the IETE.
Citation: IETE Technical Review (Institution of Electronics and Telecommunication Engineers, India) (2014), 31(1): 34-46
URI: https://doi.org/10.1080/02564602.2014.890840
http://repository.iitr.ac.in/handle/123456789/7854
Issue Date: 2014
Publisher: Medknow Publications
Keywords: Hindi speech
MSE
PSNR
SII.
SNR
Speech enhancement
SSNR
ISSN: 2564602
Author Scopus IDs: 24757305000
16205441100
56363331000
Author Affiliations: Singh, S., Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee 247667, Uttarakhand, India
Tripathy, M., Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee 247667, Uttarakhand, India
Anand, R.S., Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee 247667, Uttarakhand, India
Appears in Collections:Journal Publications [EE]

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