Exploiting time-frequency patterns with LSTM-RNNs for low-bitrate audio restoration
Perceptual audio coding is heavily and successfully applied for audio compression.
However, perceptual audio coders may inject audible coding artifacts when encoding audio …
However, perceptual audio coders may inject audible coding artifacts when encoding audio …
Using conditional restricted Boltzmann machines for spectral envelope modeling in speech bandwidth extension
Y Wang, S Zhao, D Qu, J Kuang - 2016 IEEE International …, 2016 - ieeexplore.ieee.org
In this paper, we present a conditional restricted Boltzmann machine (CRBM) based speech
bandwidth extension (BWE) method. A CRBM is employed to obtain time information and …
bandwidth extension (BWE) method. A CRBM is employed to obtain time information and …
Blind bandwidth extension using K-means and a support vector machine
A system and method of blind bandwidth extension. The system selects a prediction model
from a number of stored prediction models that were generated using an unsupervised …
from a number of stored prediction models that were generated using an unsupervised …
基于离散小波包变换与胶囊生成对抗网络的语音超分辨率算法
陈习坤， 杨俊美 - 电子学报, 2023 - ejournal.org.cn
目前主流的语音超分辨率(Speech Super-Resolution, SSR) 算法是使用卷积神经网络(
Convolutional Neural Networks, CNN) 把低分辨率(Low-Resolution, LR) …
Convolutional Neural Networks, CNN) 把低分辨率(Low-Resolution, LR) …
Blind bandwidth extension using k-means and support vector regression
In this paper, a blind bandwidth extension algorithm for music signals has been proposed.
This method applies the K-means algorithm to firstly cluster audio data in the feature space …
This method applies the K-means algorithm to firstly cluster audio data in the feature space …
Spectral envelope estimation used for audio bandwidth extension based on RBF neural network
H Liu, C Bao, X Liu - 2013 IEEE International Conference on …, 2013 - ieeexplore.ieee.org
In this paper a new spectral envelope estimation method based on radial basis function
(RBF) neural network is proposed for implementing a blind bandwidth extension method of …
(RBF) neural network is proposed for implementing a blind bandwidth extension method of …
[PDF][PDF] Audio classification algorithm based on nonlinear characteristics analysis
L Zhang, CC BAO, X Liu, X Zhang, F Bao, B Bu - APSIPA ASC, 2011 - apsipa.org
In this paper, an audio classification algorithm based on nonlinear characteristics analysis is
proposed. According to the nonlinearity of audio signals, the phase space reconstruction …
proposed. According to the nonlinearity of audio signals, the phase space reconstruction …
Blind bandwidth extension of audio signals based on non-linear prediction and hidden Markov model
X Liu, C Bao - APSIPA Transactions on Signal and Information …, 2014 - cambridge.org
The bandwidth limitation of wideband (WB) audio systems degrades the subjective quality
and naturalness of audio signals. In this paper, a new method for blind bandwidth extension …
and naturalness of audio signals. In this paper, a new method for blind bandwidth extension …
Recurrent neural network for spectral mapping in speech bandwidth extension
Y Wang, S Zhao, J Li, J Kuang… - 2016 IEEE Global …, 2016 - ieeexplore.ieee.org
We present a recurrent neural network (RNN) based speech bandwidth extension (BWE)
method. The conventional Gaussian mixture model (GMM) based BWE methods perform …
method. The conventional Gaussian mixture model (GMM) based BWE methods perform …
Nonlinear bandwidth extension of audio signals based on hidden Markov model
X Liu, C Bao, L Zhang, X Zhang… - 2011 IEEE International …, 2011 - ieeexplore.ieee.org
A nonlinear audio bandwidth extension method based on hidden Markov model (HMM) is
proposed to reconstruct super wideband audio signals from wideband audio signals. The …
proposed to reconstruct super wideband audio signals from wideband audio signals. The …