Speech Enhancement Using Auditory-Based Transform

被引：0

作者：

Tank, Vanita Raj ^{[1
]}

Mahajan, S. P. ^{[2
]}

Khaparde, Arti ^{[1
]}

Deshpande, Rahul ^{[1
]}

机构：

[1] Maharashtra Inst Technol, Dept Elect & Telecommun, Pune, Maharashtra, India

[2] Coll Engn, Dept Elect & Telecommun, Pune, Maharashtra, India

来源：

2015 10TH INTERNATIONAL CONFERENCE ON INFORMATION, COMMUNICATIONS AND SIGNAL PROCESSING (ICICS) | 2015年

关键词：

Auditory based transform; basilar membrane; cochlea; Normalized Covariance Measure;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Auditory-Based Transform (AT) is a function based on the impulse response of the basilar membrane in the cochlea. As the human auditory system utilizes the time and frequency localization of audio signals, AT can be the best suited algorithm for speech enhancement that is for reduction of noise in speech signal processing. The present paper deals with the implementation and comparison of Auditory Transform with two other algorithms: - Spectral subtraction and Wiener filter. Evaluation of intelligibility and comparison among the three algorithms has been done based on a recently proposed objective parameter, Normalized Covariance Measure, along with PSNR and Spectrogram.

引用

页数：5

共 50 条

[31] Noisy speech enhancement using discrete cosine transform
Soon, IY
Koh, SN
Yeo, CK
[J]. SPEECH COMMUNICATION, 1998, 24 (03) : 249 - 257
[32] Speech enhancement using spectral subtraction with wavelet transform
Nishimura, R
Asano, F
Suzuki, Y
Sone, T
[J]. ELECTRONICS AND COMMUNICATIONS IN JAPAN PART III-FUNDAMENTAL ELECTRONIC SCIENCE, 1998, 81 (01): : 24 - 31
[33] Speech enhancement using warped discrete cosine transform
Chang, JH
Kim, NS
[J]. 2002 IEEE SPEECH CODING WORKSHOP PROCEEDINGS: A PARADIGM SHIFT TOWARD NEW CODING FUNCTIONS FOR THE BROADBAND AGE, 2002, : 175 - 177
[34] An Improved Method for Speech Enhancement Based on Ridgelet Transform
Verma, Agya Ram
Singh, Rahul Kumar
Kumar, Anil
[J]. FOURTH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS, MODELLING AND SIMULATION (ISMS 2013), 2013, : 280 - 285
[35] Hilbert-Huang Transform based speech enhancement
Shen, LR
Li, XY
Wang, HQ
Yin, QB
Zhang, RB
[J]. Proceedings of the 8th Joint Conference on Information Sciences, Vols 1-3, 2005, : 591 - 595
[36] Noisy speech enhancement based on discrete sine transform
Li, Xueyao
Xie, Hua
Cheng, Bailing
[J]. FIRST INTERNATIONAL MULTI-SYMPOSIUMS ON COMPUTER AND COMPUTATIONAL SCIENCES (IMSCCS 2006), PROCEEDINGS, VOL 1, 2006, : 199 - +
[37] Speech enhancement based on Hilbert-Huang transform
Liu, ZF
Liao, ZP
Sang, EF
[J]. Proceedings of 2005 International Conference on Machine Learning and Cybernetics, Vols 1-9, 2005, : 4908 - 4912
[38] DISCRETE S-TRANSFORM BASED SPEECH ENHANCEMENT
Hu, Guo-hua
Li, Rui
Tao, Liang
[J]. INTERNATIONAL JOURNAL ON SMART SENSING AND INTELLIGENT SYSTEMS, 2015, 8 (04): : 2231 - 2246
[39] An auditory-based measure for improved phone segment concatenation
Chappell, DT
Hansen, JHL
[J]. 1997 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I - V: VOL I: PLENARY, EXPERT SUMMARIES, SPECIAL, AUDIO, UNDERWATER ACOUSTICS, VLSI; VOL II: SPEECH PROCESSING; VOL III: SPEECH PROCESSING, DIGITAL SIGNAL PROCESSING; VOL IV: MULTIDIMENSIONAL SIGNAL PROCESSING, NEURAL NETWORKS - VOL V: STATISTICAL SIGNAL AND ARRAY PROCESSING, APPLICATIONS, 1997, : 1639 - 1642
[40] An Auditory-Based Scene Change Detection in Audio Data
Maka, Tomasz
[J]. 2014 INTERNATIONAL CONFERENCE ON SIGNALS AND ELECTRONIC SYSTEMS (ICSES), 2014,

← 1 2 3 4 5 →