FPGA based dual microphone speech enhancement-Reference-Cited by-同舟云学术

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FPGA based dual microphone speech enhancement

Published:2019-01-16 Issue:3 Volume:25 Page:765-775
ISSN:0946-7076
Container-title:Microsystem Technologies
language:en
Short-container-title:Microsyst Technol

Author:

Biswas Tanmay,Mandal Sudhindu Bikash,Saha Debasri,Chakrabarti Amlan

Funder

University Grants Commission

TEQIP-II Project, University of Calcutta

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Hardware and Architecture,Condensed Matter Physics,Electronic, Optical and Magnetic Materials

Link

http://link.springer.com/article/10.1007/s00542-019-04299-1/fulltext.html

Reference24 articles.

1. Audumbar KA, Khade RH (2017) High speed FPGA-based data acquisition system. Microprocess Microsyst 49:87–94. https://doi.org/10.1016/j.micpro.2016.11.006 (ISSN 0141-9331)

2. Benesty J (2000) Adaptive Eigenvalue decomposition algorithm for passive acoustic source localization. Acoustical Society of America

3. Biswas T, Pal C, Mandal SB, Chakrabarti A (2014) Audio de-noising by spectral subtraction technique implemented on reconfigurable hardware. In: 2014 Seventh international conference on contemporary computing (IC3). Noida, pp 236–241. https://doi.org/10.1109/IC3.2014.6897179

4. Biswas T, Mandal SB, Saha D, Chakrabarti A (2017) Dual microphone sound source localization using reconfigurable hardware. In: Mandal J, Dutta P, Mukhopadhyay S (eds) Computational intelligence, communications, and business analytics. CICBA 2017. Communications in computer and information science, vol 775. Springer, Singapore

5. Boll S (1979) Suppression of acoustic noise in speech using spectral subtraction. Acoust Speech Signal Process IEEE Trans 27(2):113–120. https://doi.org/10.1109/TASSP.1979.1163209 ISSN=0096-3518

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3. An Efficient Porcine Acoustic Signal Denoising Technique Based on EEMD-ICA-WTD;Mathematical Problems in Engineering;2019-08-25

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