A continuous differentiable wavelet threshold function for speech enhancement

Hairong, Jia; Zhang, Xueying; Bai, Jian

doi:10.1007/s11771-013-1727-0

Cited by 20 publications

(8 citation statements)

References 11 publications

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“…In general, the speech enhancement methods may be classified into four groups, i.e., spectral-subtractive algorithms [2][3][4][5], statistical-model based algorithms [6][7][8][9][10][11][12][13][14][15][16], subspace algorithms [17][18][19], and wavelet packet transform [20][21][22][23][24][25][26][27].…”

Section: Introductionmentioning

confidence: 99%

A Wavelet Packet Based Approach for Speech Enhancement Using Modulation Channel Selection

Gupta

Tripathy

Anand

2017

Wireless Pers Commun

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In this paper, a wavelet packet based speech enhancement system is proposed for noise reduction. In the proposed method, a modulation channel selection is used as a thresholding function for de-noising. Three levels 8 sub-band wavelet packet decomposition is used and all sub-bands are given to threshold function for noise suppression. This novel modulation channel selection is based on calculation of true signal-to-noise ratio (SNR) by thresholding with local SNR of -7 dB. The presented method is used for noise suppression in single-channel speech patterns. Objective and subjective parameters are used for performance evaluation of this method. The performance of the proposed method is also compared with spectral subtraction, mband, mmse, test-psc, idbm, klt, and pklt. The proposed method give maximum intelligibility and quality in compared to other given methods. MATLAB 7.14 is used for simulation.

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Section: Introductionmentioning

confidence: 99%

A Wavelet Packet Based Approach for Speech Enhancement Using Modulation Channel Selection

Gupta

Tripathy

Anand

2017

Wireless Pers Commun

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“…It can separate the noise and signal at different scales and improve the corresponding SNR of the signal. [5][6][7][8][9][10] In 2014, Dragomiretskiy et al 11 proposed a new multi-scale decomposition method, namely, variational mode decomposition (VMD). The central frequency and bandwidth of each component are determined by an iterative search for the optimal solution of the variational model in the process of obtaining the decomposition component, so as to realize the effective separation of signal and noise adaptively.…”

Section: Introductionmentioning

confidence: 99%

Time delay estimation based on variational mode decomposition

2017

Advances in Mechanical Engineering

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In order to improve the time delay estimation of colored noise signals, this article proposes generalized crosscorrelation time delay estimation based on variational mode decomposition. First of all, we put forward the signal energy detection criterion to extract the effective signal from the signal, which can reduce the amount of calculation and improve the real-time performance. Second, the effective signal is decomposed into a number of intrinsic mode functions using variational mode decomposition. The correlation coefficients of each intrinsic mode function and the original signal are calculated. The article reconstructed signal with intrinsic mode functions which extract useful intrinsic mode functions by defaulting the correlation coefficient threshold. Finally, this article uses generalized cross-correlation to estimate time delay of the reconstructed signal. Theoretical analysis and simulation results show that the accurate time delay estimation can be obtained under the condition of color noise by the proposed method. The measurement accuracy of the proposed method is 15 times that of the generalized cross-correlation, and the running time of the proposed method is 4.0601 times faster than that of the generalized cross-correlation algorithm. The proposed method can reduce the computation and the running time of the system and also improve the measurement accuracy.

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“…Current research on the aging process of 7075 aluminum alloy is mainly focused on the alloy in the rolling state, and only a few studies have considered pre-stretched 7075 aluminum alloys. [19][20][21][22] In this work, the effects of different aging processes on the microstructure, corrosion resistance, and SCC sensitivity of pre-tensioned 7075 aluminum alloy with 25 mm thickness and 2.5-3% tensile plastic deformation were studied via microscopic observations, electrochemical characterization, and slow strain rate methods. The present results are expected to provide a theoretical basis for the study of the influence of aging treatments on the performance of aluminum alloy drill pipes.…”

Section: Introductionmentioning

confidence: 99%

Effect of aging processes on corrosion behavior and stress corrosion sensitivity of pre‐stretched 7075 aluminum alloy

Zhao

Wang

2017

Materials & Corrosion

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In this work, the microstructures, corrosion behavior, and sensitivity to stress corrosion cracking (SCC) of pre‐stretched 7075 aluminum alloy drill pipes with 2.5–3% tensile plastic deformation in a 3.5% sodium chloride solution are studied. The alloy samples are separately subjected to single‐stage aging, two‐stage aging, and three‐stage aging. The polarization curves of the samples all demonstrate passivation characteristics after the different aging treatments. Single‐stage aging of the sample results in poor corrosion resistance and high SCC sensitivity with continuously distributed grain boundaries. After two‐stage aging, the sample exhibits improved corrosion resistance and SCC sensitivity, with intermittently distributed grain boundaries. Three‐stage aging imparts the alloy with remarkable corrosion resistance and significantly reduced SCC sensitivity, with intermittently distributed grain boundaries. Thus, the three‐stage sample is considered to be the best choice for aluminum alloy drill pipes intended for applications involving heat‐treatment.

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A continuous differentiable wavelet threshold function for speech enhancement

Cited by 20 publications

References 11 publications

A Wavelet Packet Based Approach for Speech Enhancement Using Modulation Channel Selection

A Wavelet Packet Based Approach for Speech Enhancement Using Modulation Channel Selection

Time delay estimation based on variational mode decomposition

Effect of aging processes on corrosion behavior and stress corrosion sensitivity of pre‐stretched 7075 aluminum alloy

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