supported by the National Natural Science Foundation of China(12004136);the Natural Science Foundation of Fujian Province(2023J011438);the Major Educational Research Project of Fujian Province(FBJY20230154);the Key Research and Industrialization Project of Technological Innovation in Fujian Province(2023G013);the Science and Technology Project for High-level Talents of XMUT(YKJ22017R).
Aiming at the problem of sound quality feature modeling,a sound quality prediction method combining time domain analysis and machine learning is proposed.Firstly,the sample entropy is introduced,and the time-domain fe...
supported by the National Natural Science Foundation of China (52078218)。
A method for measuring the airborne sound insulation of building components combining diffuse acoustic field(DAF) excitation and near-field acoustic holography(NAH)radiation intensity reconstruction is proposed. In th...
supported by the National Key Research and Development Program of China(2020YFC2004002,2020YFC2004003);the National Natural Science Foundation of China(62001215);the Scientific Research Fund Project of Nanjing Institute of Technology(CKJC202001)。
The objective evaluation of speech quality can replace expensive manual scoring,but current objective indicators usually need pure reference speech,which is difficult to obtain in many practical acoustic systems.A non...
the Nat ional Natural Science Foundation of China(61340004).
An improved speech enhancement method based on sparse representation of spec-tral features is proposed from the perspective of dual dictionary learning,noise power spectrum estimation and speech amplitude spectrun rec...
supported by the National Natural Science Foundation of China(61671095,61702065,61701067,61771085);the Project of Key Laboratory of Signal and Information Processing of Chongqing(CSTC2009CA2003);Chongqing Graduate Research and Innovation Project(CYS17219);the Research Project of Chongqing Educational Commission(KJ1600427,KJ1600429)。
The performance of the monaural speech separation method is limited when the speech mixture is disordered by background noise.To obtain the enhanced separated speech from the noisy mixture,a monaural noisy speech sepa...
supported by the National Natural Science Foundation of China(61671095,61371164,61702065,61701067,61771085);the Project of Key Laboratory of Signal and Information Processing of Chongqing(CSTC2009CA2003);Chongqing Graduate Research and Innovation Project(CYS17219);the Research Project of Chongqing Educational Commission(KJ130524,KJ1600427,KJ1600429)
For the difficulty of separation between singing and accompaniment in the musical signals,an improved music separation method of based on discriminative training depth neural network(DNN) was proposed.Firstly,based on...
supported by the Knowledge Innovation Engineering of Chinese Academy of Sciences (KGCX2-YW-915)
In medical ultrasound imaging field, in order to obtain high resolution and correct the phase errors induced by the velocity in-homogeneity of the tissue, a high-resolution medical ultrasound imaging method combining ...
In speech recognition studies based on features, it is often discovered that the recognition performance of some features for some utterances is better than for the others, while the other features have opposite effec...