Related references
Note: Only part of the references are listed.Estimation of Noise Magnitude for Speech Denoising Using Minima-Controlled-Recursive-Averaging Algorithm Adapted by Harmonic Properties
Ching-Ta Lu et al.
APPLIED SCIENCES-BASEL (2017)
Multiplicative Update of Auto-Regressive Gains for Codebook-Based Speech Enhancement
Qi He et al.
IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING (2017)
Low-Distortion MMSE Speech Enhancement Estimator Based on Laplacian Prior
Basheera M. Mahmmod et al.
IEEE ACCESS (2017)
An analysis of environment, microphone and data simulation mismatches in robust speech recognition
Emmanuel Vincent et al.
COMPUTER SPEECH AND LANGUAGE (2017)
A Regression Approach to Speech Enhancement Based on Deep Neural Networks
Yong Xu et al.
IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING (2015)
Spectral Subtraction Based on Non-extensive Statistics for Speech Recognition
Hilman Pardede et al.
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS (2013)
Evaluation of objective quality measures for speech enhancement
Yi Hu et al.
IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING (2008)
Robust speech dereverberation using multichannel blind deconvolution with spectral subtraction
Ken'ichi Furuya et al.
IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING (2007)
Speech enhancement based on wavelet thresholding the multitaper spectrum
Y Hu et al.
IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING (2004)
Noise spectrum estimation in adverse environments: Improved minima controlled recursive averaging
I Cohen
IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING (2003)
A generalized subspace approach for enhancing speech corrupted by colored noise
Y Hu et al.
IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING (2003)
The effect of additive noise on speech amplitude spectra: A quantitative analysis
QF Zhu et al.
IEEE SIGNAL PROCESSING LETTERS (2002)
Noise estimation by minima controlled recursive averaging for robust speech enhancement
I Cohen et al.
IEEE SIGNAL PROCESSING LETTERS (2002)
Noise power spectral density estimation based on optimal smoothing and minimum statistics
R Martin
IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING (2001)
Share Paper
