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 …
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 …
[PDF][PDF] 基于非线性音频特征分类的频带扩展方法
张丽燕， 鲍长春， 刘鑫， 张兴涛 - 通信学报, 2013 - infocomm-journal.com
提出了一种基于非线性音频分类的频带扩展方法, 即利用递归图和定量递归分析将音频信号的
时间序列分成4 类, 并分别采用4 种方法恢复高频频谱细节, 最终利用高斯混合模型和基于软判决 …
时间序列分成4 类, 并分别采用4 种方法恢复高频频谱细节, 最终利用高斯混合模型和基于软判决 …
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 …
Audio bandwidth extension based on RBF neural network
H Liu, C Bao, X Liu, X Zhang… - 2011 IEEE International …, 2011 - ieeexplore.ieee.org
In this paper a new method of blind bandwidth extension from wideband (WB) to super-
wideband (SWB) audio is proposed. The Radial Basic Function (RBF) neural network is …
wideband (SWB) audio is proposed. The Radial Basic Function (RBF) neural network is …
基于局部最小二乘支持向量机的音频频带扩展方法
白海钏， 鲍长春， 刘鑫 - 电子学报, 2016 - ejournal.org.cn
在网络传输过程中宽带音频会由于高频信息的缺失导致音频质量下降, 因此,
本文提出了一种基于局部最小二乘支持向量机的宽带向超宽带音频频带扩展方法 …
本文提出了一种基于局部最小二乘支持向量机的宽带向超宽带音频频带扩展方法 …
A blind bandwidth extension method for audio signals based on phase space reconstruction
CC Bao, X Liu, YT Sha, XT Zhang - … Journal on Audio, Speech, and Music …, 2014 - Springer
Bandwidth extension is an effective technique for enhancing the quality of audio signals by
reconstructing their high-frequency components. In this paper, a novel blind bandwidth …
reconstructing their high-frequency components. In this paper, a novel blind bandwidth …
基于灰色Verhulst 模型的音频频带扩展方法
白海钏， 鲍长春， 刘鑫， 李红蕊 - 电子学报, 2014 - ejournal.org.cn
受到传输带宽的限制, 宽带音频的自然度和听觉质量会有所下降, 因此, 本文提出了一种基于灰色
Verhulst 模型的宽带向超宽带音频频带扩展方法. 根据音频信号频谱包络序列的演变趋势 …
Verhulst 模型的宽带向超宽带音频频带扩展方法. 根据音频信号频谱包络序列的演变趋势 …