[1] Zhou Jian, Wei Xin, Liang Ruiyu, et al. Intelligibility evaluation of enhanced whisperin joint time-frequency domain [J]. Journal of Southeast University (English Edition), 2014, 30 (3): 261-266. [doi:10.3969/j.issn.1003-7985.2014.03.001]

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Intelligibility evaluation of enhanced whisperin joint time-frequency domain()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

30

Issue:

2014 3

Page:

261-266

Research Field:

Information and Communication Engineering

Publishing date:

2014-09-30

Info

Title:

Intelligibility evaluation of enhanced whisperin joint time-frequency domain

Author(s):

Zhou Jian¹;  2;  Wei Xin³;  Liang Ruiyu⁴;  Zhao Li²

¹Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, Anhui University, Hefei 230601, China
²Key Laboratory of Underwater Acoustic Signal Processing of Ministry of Education, Southeast University, Nanjing 210096, China
³College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
⁴College of Computer and Information, Hohai University, Nanjing 210098, China

Keywords:

whispered speech enhancement;  intelligibility evaluation;  real-valued discrete Gabor transform;  joint time-frequency analysis

PACS:

TN912.35

DOI:

10.3969/j.issn.1003-7985.2014.03.001

Abstract:

Some factors influencing the intelligibility of the enhanced whisper in the joint time-frequency domain are evaluated. Specifically, both the spectrum density and different regions of the enhanced spectrum are analyzed. Experimental results show that for a spectrum of some density, the joint time-frequency gain-modification based speech enhancement algorithm achieves significant improvement in intelligibility. Additionally, the spectrum region where the estimated spectrum is smaller than the clean spectrum, is the most important region contributing to intelligibility improvement for the enhanced whisper. The spectrum region where the estimated spectrum is larger than twice the size of the clean spectrum is detrimental to speech intelligibility perception within the whisper context.

References:

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[10] Cohen I, Berdugo B. Speech enhancement for non-stationary noise environments [J]. Signal Processing, 2001, 81(11):2403-2418.
[11] Taal C, Hendriks R, Heusdens R, et al. An algorithm for intelligibility prediction of time-frequency weighted noisy speech [J]. IEEE Transactions on Audio, Speech, and Language Processing, 2011, 19(7):2125-2136.
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Memo

Memo:

Biographies: Zhou Jian(1981—), male, doctor, lecturer; Zhao Li(corresponding author), male, doctor, professor, zhaoli@seu.edu.cn.
Foundation items: The National Natural Science Foundation of China(No.61301295, 61273266, 61301219, 61201326, 61003131), the Natural Science Foundation of Anhui Province(No.1308085QF100, 1408085MF113), the Natural Science Foundation of Jiangsu Province(No.BK20130241), the Natural Science Foundation of Higher Education Institutions of Jiangsu Province(No.12KJB510021), the Doctoral Fund of Anhui University.
Citation: Zhou Jian, Wei Xin, Liang Ruiyu, et al. Intelligibility evaluation of enhanced whisper in joint time-frequency domain[J].Journal of Southeast University(English Edition), 2014, 30(3):261-266.[doi:10.3969/j.issn.1003-7985.2014.03.001]

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