Journal of Biomedical Science and Engineering

Journal of Biomedical Science and Engineering

ISSN Print: 1937-6871
ISSN Online: 1937-688X
www.scirp.org/journal/jbise
E-mail: jbise@scirp.org
"Iterative spectral subtraction method for millimeter-wave conducted speech enhancement"
written by Sheng Li, Jian-Qi Wang, Ming Niu, Xi-Jing Jing, Tian Liu,
published by Journal of Biomedical Science and Engineering, Vol.3 No.2, 2010
has been cited by the following article(s):
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[1] Iterative-processed multiband speech enhancement for suppressing musical sounds
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[2] Event Reconstructing Adaptive Spectral Evaluation (ERASE) Approach to Removing Noise in Structural Acceleration Signals
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[3] Improved Spectral Subtraction Method for Civil Aircraft Approach and Landing Crew Interactive Voice Enhancement
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[4] DNN-Based Calibrated-Filter Models for Speech Enhancement
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[5] Musical-Noise-Free Blind Speech Extraction Based on Higher-Order Statistics Analysis
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[6] A Study on Alternative Speech Sensor
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[7] Speech Enhancement Using Modified Spectral Subtraction Algorithm
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[8] Speech Enhancement using Spectral Subtraction-type Algorithms: A survey on Comparison
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[9] Speech Enhancement using Spectral Subtraction-type Algorithms: A Comparison and Simulation Study
Procedia Computer Science, 2015
[10] Statistical-model-based speech enhancement with musical-noise-free properties
Digital Signal Processing (DSP), 2015 IEEE International Conference on, 2015
[11] Musical-noise-free blind speech extraction integrating microphone array and iterative spectral subtraction
Signal Processing, 2014
[12] Spectral Processing Methods for Degraded Speech Signal
Digital Signal Processing, 2014
[13] Theoretical analysis of biased MMSE short-time spectral amplitude estimator and its extension to musical-noise-free speech enhancement
Hands-free Speech Communication and Microphone Arrays (HSCMA), 2014 4th Joint Workshop on. IEEE, 2014
[14] Musical-Noise-Free Speech Enhancement Based on Higher-Order Statistics Pursuit
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[15] 高次統計量に基づく音声歪みの理論解析および ミュージカルノイズフリー音声強調への応用
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[16] Spectral Subtractive-Type Algorithms for Enhancement of Noisy Speech: An Integrative
2013
[17] Service Robot SCORPIO with Robust Speech Interface Regular Paper
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[18] Comparative analysis of speech enhancement methods
Wireless and Optical Communications Networks (WOCN), 2013 Tenth International Conference on. IEEE, 2013
[19] Spectral Subtractive-Type Algorithms for Enhancement of Noisy Speech: An Integrative Review
International Journal of Image, Graphics and Signal Processing (IJIGSP), 2013
[20] Service Robot SCORPIO with Robust Speech Interface
Int J Adv Robotic Sy, 2013
[21] A Multi-Band Speech Enhancement Algorithm Exploiting Iterative Processing for Enhancement of Single Channel Speech
Journal of Signal and Information Processing, 2013
[22] Toward musical-noise-free blind speech extraction: Concept and its applications
Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2013 Asia-Pacific. IEEE, 2013
[23] Spectral Subtractive-Type Algorithms for Enhancement of Noisy Speech: An Integrative Review.
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[24] Musical-noise-free blind speech extraction using ICA-based noise estimation with channel selection
Acoustic Signal Enhancement; Proceedings of IWAENC 2012; International Workshop on. VDE, 2012
[25] Musical-noise-free speech enhancement based on optimized iterative spectral subtraction
Audio, Speech, and Language Processing, IEEE Transactions on 20.7, 2012
[26] Musical-noise-free blind speech extraction using ICA-based noise estimation and iterative spectral subtraction
Information Science, Signal Processing and their Applications (ISSPA), 2012 11th International Conference on. IEEE, 2012
[27] Improving Robustness of the SCORPIO Robot Speech Interface by Iterative Spectral Subtraction.
S Ondá?, J Juhár - Journal of Electrical & Electronics Engineering, 2012, 2012
[28] Theoretical analysis of musical noise generation in nonlinear noise reduction methods based on higher-order statistics
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[29] Theoretical analysis of iterative weak spectral subtraction via higher-order statistics
Machine Learning for Signal Processing (MLSP), 2010 IEEE International Workshop on. IEEE, 2010
[30] quotTransform based multi band speech enhancement algorithmsquot
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