Gang Min

According to our database1, Gang Min authored at least 21 papers between 2014 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2021
Low Bit-Rate Wideband Speech Coding: A Deep Generative Model based Approach.
CoRR, 2021

2019
Deep Vocoder: Low Bit Rate Compression of Speech with Deep Autoencoder.
Proceedings of the IEEE International Conference on Multimedia & Expo Workshops, 2019

A Speech Reconstruction Algorithm via Iteratively Reweighted ℓ2 Minimization for MFCC Codec.
Proceedings of the 27th European Signal Processing Conference, 2019

2018
Deep Neural Network Based Monaural Speech Enhancement with Low-Rank Analysis and Speech Present Probability.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2018

Application of Non-uniform Sampling in Compressed Sensing for Speech Signal.
Proceedings of the Intelligent Computing Theories and Application, 2018

2017
Semi-Supervised Speech Enhancement Combining Nonnegative Matrix Factorization and Robust Principal Component Analysis.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2017

Joint Optimization of Perceptual Gain Function and Deep Neural Networks for Single-Channel Speech Enhancement.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2017

Auditory mask estimation by RPCA for monaural speech enhancement.
Proceedings of the 16th IEEE/ACIS International Conference on Computer and Information Science, 2017

2016
Perceptually Weighted Analysis-by-Synthesis Vector Quantization for Low Bit Rate MFCC Codec.
IEEE Signal Process. Lett., 2016

Improved Semi-Supervised NMF Based Real-Time Capable Speech Enhancement.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2016

A Perceptually Motivated Approach for Speech Enhancement Based on Deep Neural Network.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2016

Joint Optimization of a Perceptual Modified Wiener Filtering Mask and Deep Neural Networks for Monaural Speech Separation.
Proceedings of the Advances in Multimedia Information Processing - PCM 2016, 2016

Mask estimate through Itakura-Saito nonnegative RPCA for speech enhancement.
Proceedings of the IEEE International Workshop on Acoustic Signal Enhancement, 2016

A perceptually motivated approach via sparse and low-rank model for speech enhancement.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2016

Joint optimization of audible noise suppression and deep neural networks for single-channel speech enhancement.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2016

Adaptive extraction of repeating non-negative temporal patterns for single-channel speech enhancement.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Speech Reconstruction from MFCC Based on Nonnegative and Sparse Priors.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2015

Speech Enhancement Combining NMF Weighted by Speech Presence Probability and Statistical Model.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2015

Speech reconstruction from mel-frequency cepstral coefficients via ℓ1-norm minimization.
Proceedings of the 17th IEEE International Workshop on Multimedia Signal Processing, 2015

Unsupervised monaural speech enhancement using robust NMF with low-rank and sparse constraints.
Proceedings of the IEEE China Summit and International Conference on Signal and Information Processing, 2015

2014
An improved Bayesian NMF-based speech enhancement method using multivariate Laplace distribution.
Proceedings of the Sixth International Conference on Wireless Communications and Signal Processing, 2014


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