Journal ArticleDOI
Speech enhancement by noise driven adaptation of perceptual scales and thresholds of continuous wavelet transform coefficients
TLDR
This paper focuses on employing adaptive scales for computation of perceptually scaled continuous wavelet transform coefficients (CWT) and adaptive thresholding of these coefficients for speech enhancement and finds that for the white Gaussian noise case, SNR and SSNR of the proposed method were better than all the methods under comparison.About:
This article is published in Speech Communication.The article was published on 2015-06-01. It has received 21 citations till now. The article focuses on the topics: Noise & Speech enhancement.read more
Citations
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Journal ArticleDOI
An intelligent diagnosis scheme based on generative adversarial learning deep neural networks and its application to planetary gearbox fault pattern recognition
Zirui Wang,Jun Wang,Youren Wang +2 more
TL;DR: The experimental results show that the developed SDAE-GAN method for planetary gearbox has good anti-noise ability and achieve better fault diagnosis performance in the case of small samples.
Journal ArticleDOI
An adaptive deep transfer learning method for bearing fault diagnosis
TL;DR: An adaptive deep transfer learning method for bearing fault diagnosis is proposed, a long-short term memory recurrent neural network model based on instance-transfer learning is constructed, and grey wolf optimization algorithm is introduced to adaptively learn key parameters of joint distribution adaptation.
Journal ArticleDOI
Planetary gearbox fault feature learning using conditional variational neural networks under noise environment
TL;DR: Experimental results confirm that CVNN method can extract effective fault features from noisy vibration signals, and it has higher accuracy of fault diagnosis than other methods in the case of low signal to noise ratio (SNR) values.
Journal ArticleDOI
Speech enhancement based on mEMD-VMD method
Abhay Upadhyay,Ram Bilas Pachori +1 more
TL;DR: In this article, a speech enhancement method is proposed for suppressing white noise and non-stationary acoustic noises, which employs the combination of variational mode decomposition (VMD) and EMD methods.
Journal ArticleDOI
Fault diagnosis of planetary gearbox using multi-criteria feature selection and heterogeneous ensemble learning classification
TL;DR: Experimental results state that the proposed method constantly gets diverse lower dimension quasi optimal fault features smoothly, and significantly improves the accuracy and robustness of fault diagnosis.
References
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Journal ArticleDOI
Suppression of acoustic noise in speech using spectral subtraction
TL;DR: A stand-alone noise suppression algorithm that resynthesizes a speech waveform and can be used as a pre-processor to narrow-band voice communications systems, speech recognition systems, or speaker authentication systems.
Journal ArticleDOI
Speech enhancement using a minimum-mean square error short-time spectral amplitude estimator
Yariv Ephraim,David Malah +1 more
TL;DR: In this article, a system which utilizes a minimum mean square error (MMSE) estimator is proposed and then compared with other widely used systems which are based on Wiener filtering and the "spectral subtraction" algorithm.
Journal Article
Speech enhancement using a minimum mean square error short-time spectral amplitude estimator
TL;DR: This paper derives a minimum mean-square error STSA estimator, based on modeling speech and noise spectral components as statistically independent Gaussian random variables, which results in a significant reduction of the noise, and provides enhanced speech with colorless residual noise.
Journal ArticleDOI
Stimulated acoustic emissions from within the human auditory system
TL;DR: A new auditory phenomenon has been identified in the acoustic impulse response of the human ear and this component appears to have its origin in some nonlinear mechanism probably located in the cochlea, responding mechanically to auditory stimulation, and dependent upon the normal functioning of the coChlea transduction process.
Book
Speech Enhancement: Theory and Practice
TL;DR: Clear and concise, this book explores how human listeners compensate for acoustic noise in noisy environments and suggests steps that can be taken to realize the full potential of these algorithms under realistic conditions.
Related Papers (5)
Enhancement of Speech Signal by Adaptation ofScales and Thresholds of Bionic Wavelet Transform Coefficients
Rupali Sharma,Preety D. Swami +1 more