Performance Evaluation of a Speech Enhancement Technique Using Wavelets

被引：1

作者：

Dhivya, R. ^{[1
]}

Justin, Judith ^{[1
]}

机构：

[1] Avinashilingam Inst Home Sci & Higher Educ Women, Dept Biomed Instrumentat Engn, Fac Engn, Coimbatore, Tamil Nadu, India

来源：

PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON SOFT COMPUTING SYSTEMS, ICSCS 2015, VOL 1 | 2016年 / 397卷

关键词：

Speech enhancement; Wavelet thresholding; Pearson's correlation; Speech quality measures;

D O I：

10.1007/978-81-322-2671-0_61

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this work, a novel speech enhancement algorithm is proposed based on multiband spectral subtraction speech enhancement technique and wavelet thresholding. The algorithmis tested with noisy speech signal produced by a prosthetic device for laryngectomy patients. The performance of the proposed algorithm is compared with themultiband spectral subtraction algorithmin terms of perceptual evaluation of speech quality (PESQ). The objective measures such as signal-to-noise-ratio (SNR), log-likelihood ratio (LLR), segmental signal-to-noise-ratio (SegSNR), weighted spectral slope (WSS), itakura-saito distance (IS), CepstralDistance, and frequency-weighted segmental signal-to-noise-ratio (fwSNR) are used to test the effectiveness of the algorithm.

引用

页码：637 / 646

页数：10

共 50 条

[1] ENHANCEMENT OF SHIMMER IN OESOPHAGEAL SPEECH USING DIFFERENT WAVELETS
Oleagordia Ruiz, I.
Garcia Zapirain, B.
[J]. 2013 IEEE INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND INFORMATION TECHNOLOGY (IEEE ISSPIT 2013), 2013, : 180 - 185
[2] Performance measurement of a hybrid speech enhancement technique
Bahadur, I. N.
Kumar, Sandeep
Agarwal, Prabhakar
[J]. INTERNATIONAL JOURNAL OF SPEECH TECHNOLOGY, 2021, 24 (03) : 665 - 677
[3] Performance measurement of a hybrid speech enhancement technique
I. N. Bahadur
Sandeep Kumar
Prabhakar Agarwal
[J]. International Journal of Speech Technology, 2021, 24 : 665 - 677
[4] Classical Tamil Speech Enhancement with Modified Threshold Function using Wavelets
Indra, J.
Kasthuri, N.
Krishnan, Navaneetha S.
[J]. JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, 2016, 11 (06) : 1793 - 1801
[5] Performance comparison evaluation of speech enhancement using various loss functions
Hwang, Seo-Rim
Byun, Joon
Park, Young-Cheol
[J]. JOURNAL OF THE ACOUSTICAL SOCIETY OF KOREA, 2021, 40 (02): : 176 - 182
[6] Speech Enhancement Using Hybrid Optimization Technique
Anoop, V.
Rao, P. V.
[J]. 1ST GLOBAL COLLOQUIUM ON RECENT ADVANCEMENTS AND EFFECTUAL RESEARCHES IN ENGINEERING, SCIENCE AND TECHNOLOGY - RAEREST 2016, 2016, 25 : 5 - 11
[7] Performance Evaluation of Beamforming Techniques for Speech Enhancement
Rakesh, Pogula
Priyanka, S. Siva
Kumar, T. Kishore
[J]. 2017 FOURTH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, COMMUNICATION AND NETWORKING (ICSCN), 2017,
[8] Performance evaluation of DWT based Speech Enhancement
Haripriya, R. P.
Mathew, Lani Rachel
[J]. 2017 INTERNATIONAL CONFERENCE ON NETWORKS & ADVANCES IN COMPUTATIONAL TECHNOLOGIES (NETACT), 2017, : 442 - 446
[9] An image enhancement technique based on wavelets
Lee, HS
Cho, Y
Byun, H
Yoo, J
[J]. BIOLOGICALLY MOTIVATED COMPUTER VISION, PROCEEDING, 2000, 1811 : 286 - 296
[10] Performance Evaluation of CS Based Speech Enhancement using Adaptive and Sparse Dictionaries
Sridhar, K., V
Kumar, T. Kishore
[J]. 2019 4TH INTERNATIONAL CONFERENCE AND WORKSHOPS ON RECENT ADVANCES AND INNOVATIONS IN ENGINEERING (ICRAIE): THRIVING TECHNOLOGIES, 2019,

← 1 2 3 4 5 →