|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | SPEECH EMOTION RECOGNITION USING MODIFIED QUADRATIC DISCRIMINATION FUNCTION显示文摘Quadratic Discrimination Function (QDF) is commonly used in speech emotion recognition, which proceeds on the premise that the input data is normal distribution. In this paper, we propose a transformation to normalize the emotional features, then derivate a Modified QDF (MQDF) to speech emotion recognition. Features based on prosody and voice quality are extracted and Principal Component Analysis Neural Network (PCANN) is used to reduce dimension of the feature vectors. The results show that voice quality features are effective supplement for recognition, and the method in this paper could improve the recognition ratio effectively. | Zhao Yan Zhao Li Zou Cairong Yu Yinhua | 2008 | Journal of Electronics(China)2008，25，6： | 9 |
| 2 | Recognition of practical speech emotion using improved shuffled frog leaping algorithm显示文摘Due to the drawbacks in Support Vector Machine(SVM)parameter optimization,an Improved Shuffled Frog Leaping Algorithm(Im-SFLA)was proposed,and the learning ability in practical speech emotion recognition was improved.Firstly,we introduced Simulated Annealing(SA),Immune Vaccination(Iv),Gaussian mutation and chaotic disturbance into the basic SFLA,which bManced the search efficiency and population diversity effectively.Secondly,Im-SFLA Was applied to the optimization of SVM parameters,and an Im-SFLA-SVM method Was proposed.Thirdly,the acoustic features of practical speech emotion,such aS ridgetiness,were analyzed.The pitch frequency,short-term energy,formant frequency and chaotic characteristics were analyzed corresponding to different emotion categories,and we constructed a 144-dimensional emotion feature vector for recognition and reduced to 4-dimension by adopting Linear Discriminant Analysis(LDA) Finally,the Im-SFLA-SVM method Was tested on the practical speech emotion database,and the recognition results were compared with Shuffled Frog Leaping Algorithm optimization-SVM(SFLA-SVM)method,Particle Swarm Optimization algorithm optimization-SVM(PSo-SVM) method,basic SVM,Gaussian Mixture Model(GMM)method and Back Propagation(BP)neural network method.The experimentM resuits showed that the average recognition rate of Im-SFLA-SVM method was 77.8%,which had improved 1.7%,2.7%,3.4%,4.7%and 7.8%respectively,compared with the other methods.The recognition of fidgetiness was significantly improve,thus verifying that Im-SFLA was an effective SVM parameter selection method,and the Im-SFLA-SVM method may significantly improve the practical speech emotion recognition. | ZHANG Xiaodan HUANG Chengwei ZHAO Li ZOU Cairong | 2014 | Chinese Journal of Acoustics2014，33，4： | 4 |
| 3 | Speech emotion recognition based on statistical pitch model显示文摘一个修改 Parzen 窗户方法,在低频率使分辨率高并且把光滑放在高频率,被建议获得统计模型。然后,当长句子被处理时,利用统计模型的一个性分类方法被建议,它有性分类的 98% 精确性。由男声音和女性表示的分离,与不同情感训练样品的讲话的平均数和标准差被用来创造相应情感模型。然后在测试样品和沥青的统计模型之间的 Bhattacharyya 距离,在沥青的 speech.The 正规化为情感识别被利用因为男声音和女声音也被考虑,以便说明他们直到一个一致空格。最后,讲话情感识别实验基于 K 最近的邻居显示出那, 81% 的正确的率被完成,在它仅仅是 73.85%if 的地方,传统的参数被利用。 | WANG Zhiping ZHAO Li ZOU Cairong | 2006 | Chinese Journal of Acoustics2006，25，1： | 3 |
| 4 | A FAST BIT-LOADING ALGORITHM FOR HIGH SPEED POWER LINE COMMUNICATIONS显示文摘Adaptive bit-loading is a key technology in high speed power line communications with the Orthogonal Frequency Division Multiplexing (OFDM) modulation technology. According to the real situation of the transmitting power spectrum limited in high speed power line communications, this paper explored the adaptive bit loading algorithm to maximize transmission bit number when transmitting power spectral density and bit error rate are not exceed upper limit. With the characteristics of the power line channel, first of all, it obtains the optimal bit loading algorithm, and then provides the improved algorithm to reduce the computational complexity. Based on the analysis and simulation, it offers a non-iterative bit allocation algorithm, and finally the simulation shows that this new algorithm can greatly reduce the computational complexity, and the actual bit allocation results close to optimal. | Zhang Shengqing Zhao Li Zou Cairong | 2012 | Journal of Electronics(China)2012，29，5： | 2 |
| 5 | Facial expression recognition using kemel canonical correlation analysis(KCCA) 显示文摘 | Zheng Wenming Zhou Xiaoyan Zou Cairong | 2006 | IEEE Transactions on Neural Networks2006，17，1： | 1 |
| 6 | An improved algorithm for kernel principal components analysis 显示文摘 | Zheng Wenming Zou Cairong Zhao Li | 2005 | Neural Processing Let- ters2005，22，1： | 1 |
| 7 | Facial expression recognition using kernel canonical correlation analysis (KCCA) 显示文摘 | Zheng Wenming Zhou Xiaoyan Zou Cairong | 2006 | IEEE Trans on Neural Networks2006，17，1： | 1 |
| 8 | Locally nearest neighbor classifiers for pattern classification显示文摘 | Wenming ZHENG Li ZHAO Cairong ZOU | 2004 | Pattern Recognition2004，37，6： | 1 |
| 9 | An improved algorithm for kernel principal component analysis显示文摘 | ZHENG Wenming ZOU Cairong ZHAO Li | 2005 | Neural Processing Letters2005，22，1： | 1 |
| 10 | Acoustic feedback cancellation based on weighted adaptive projection subgradient method in hearing aids 显示文摘 | WANG Qingyun ZHAO Li QIAO Jie Zou Cairong | 2010 | Signal Processing2010，90，1： | 1 |
| 11 | An ImprovedMethod to Enhance High-Frequency Speech Intelligibility in Noise 显示文摘 | Ruiyu Liang J X Jian Zhou Cairong Zou | 2013 | Applied Acoustics2013，74，1： | 1 |
| 12 | Facial Expression Recognition Using Kernel Canonical Correlation Analysis显示文摘 | Zheng Wenming Zhou Xiaoyan Zou Cairong | 2006 | IEEE Transactions on Neural Networks2006，17，1： | 1 |
| 13 | A Modified Algorithm for Generalized Discriminant Analysis显示文摘 | Zheng Wenming Zhao Li Zou Cairong | 2004 | Neural Computation2004，16，6： | 1 |
| 14 | Support vec-tor machines for emotion recognition in Chinese speech显示文摘 | Zhiping Wang Li Zhao Cairong Zou | 2003 | Journal of Southeast University2003，19，4： | 1 |
| 15 | Power control algorithm in cognitive radio system based on modified Shuffled Frog Leaping Algorithm显示文摘 | Xiaodan Zhang Yifeng Zhang Yuhui Shi Li Zhao Cairong Zou | 2011 | AEUE - International Journal of Electronics and Communications2011，，6： | 1 |
| 16 | A new prediction search algorithm for block motion estimation in video coding 显示文摘 | LUO Lijun ZOU Cairong GAO Xiqi | 1997 | IEEE Trans Consumer Electronics1997，43，1： | 1 |
| 17 | New prediction search algorithm for block motion estimation in video coding显示文摘 | Lijun Luo Cairong Zou Xiqi Gao | 1997 | IEEE Transactions on Consumer Electronics1997，43，1： | 1 |
| 18 | Face recognition based on PCA/KPCA plus CCA显示文摘 | Yunhui He Li Zhao Cairong Zou | 2005 | Lecture Notes in Control and Information Sciences2005，3611，1： | 1 |
| 19 | Facial expression recognition using kernel canonical correlation analysis (KCCA) 显示文摘 | ZHENG Wenming ZHOU Xiaoyan ZOU Cairong | 2006 | IEEE Trans Neural Netw2006，17，1： | 1 |
| 20 | A new prediction search algorithm for block motion estimation for video coding显示文摘 | Lijun Luo Cairong Zou Xiqi Gao Zhenya He | 1997 | IEEE Transaction on Consumer Electronics1997，43，1： | 1 |
您所在的机构暂未开通此部分的功能，请联系管理员