[1] GHORBANDOOST M, SAYADIYAN A, AHANGAR M, et al. Voice conversion based on feature combination with limited training data [J]. Speech Communication, 2015, 67: 113-128.

[2] GODOYE, ROSEC O, CHONAVEL T. Voice conversion using dynamic frequency warping with amplitude scaling, for parallel or nonparallel corpora [J]. IEEE Transactions on Audio, Speech, and Language Processing, 2012, 20(4): 1313-1323.

[3] LIL F, ZHAO Y, JIANG D M, et al. Hybrid deep neural network-hidden markov model (DNN-HMM) based speech emotion recognition [C]//Proceedings of 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction. Geneva, Switzerland: IEEE, 2013: 312-317.

[4] NAKAMURA K, TODA T, SARUWATARI H, et al. Speaking-aid systems using GMM-based voice conversion for electrolaryngeal speech [J]. Speech Communication, 2012, 54(1): 134-146.

[5] BHARTI K S, KOOLAGUDI S G, RAO K S, et al. Voice conversion using linear prediction coefficients and artificial neural network [C]//Proceedings of the Cube International Information Technology Conference. Pune, India: ACM, 2012: 240-245.

[6] NIRMAL J, ZAVERI M, PATNAIK S, et al. Voice conversion using general regression neural network [J]. Applied Soft Computing, 2014, 24: 1-12.

[7] 杨秀峰．基于神经网络的语音转换算法研究[D]．西安：西安建筑科技大学, 2017.

    YANG X F. The research of voice conversion based on neural network [D]. Xi’an: Xi’an University of Architecture and Technology, 2017. (in Chinese)

[8] 王洪涛, 李丹．基于改进粒子群算法的图像边缘检测研究[J]．液晶与显示, 2014, 29(5)：800-804．

    WANG H T, LI D. Image edge detection research based on improved particle swarm optimization algorithm [J]. Chinese Journal of Liquid Crystals and Displays, 2014, 29(5): 800-804. (in Chinese).

[9] 李士勇, 李盼池．求解连续空间优化问题的量子粒子群算法[J]．量子电子学报, 2007, 24(5)：569-574．

    LI S Y, LI P C. Quantum particle swarms algorithm for continuous space optimization [J]. Chinese Journal of Quantum Electronics, 2007, 24(5): 569-574. (in Chinese)

[10] KENNEDYJ, EBERHART R. Particle swarm optimization [C]//Proceedings of 1995 IEEE International Conference on Neural Networks. Perth, WA, Australia: IEEE, 1995: 1942-1948.

[11] 张玲华, 姚绍芹, 解伟超．基于自适应粒子群优化径向基函数神经网络的语音转换[J]．数据采集与处理, 2015, 30(2)：336-343．

    ZHANG L H, YAO S Q, XIE W C. Voice conversion based on adaptive particle swarm optimization radial basis function neural network [J]. Journal of Data Acquisition and Processing, 2015, 30(2): 336-343. (in Chinese)

[12] 张国梁, 贾松敏, 张祥银, 等．采用自适应变异粒子群优化SVM的行为识别[J]．光学 精密工程, 2017, 25(6)：1669-1678．

    ZHANG G L, JIA S M, ZHANG X Y, et al. Action recognition based on adaptive mutation particle swarm optimization for SVM [J]. Optics and Precision Engineering, 2017, 25(6): 1669-1678. (in Chinese)

[13] 张志成, 林君, 石要武, 等．用加权子空间拟合和量子粒子群算法联合估计多普勒频率和波达方向[J]．光学 精密工程, 2013, 21(9)：2445-2451．

    ZHANG Z C, LIN J, SHI Y W, et al. Joint estimation of Dopplers and DOAs by WSF-QPSO method [J]. Optics and Precision Engineering, 2013, 21(9): 2445-2451. (in Chinese)

[14] 解伟超．语音转换中声道谱参数和基频变换算法的研究[D]．南京：南京邮电大学, 2013．

    XIE W C. The research on vocal tract spectrum and pitch frequency transformation in voice conversion [D]. Nanjing: Nanjing University of Posts and Telecommunications, 2013. (in Chinese)

[15] SHAO X, MILNER B. Pitch prediction from MFCC vectors for speech reconstruction [C]//Proceedings of 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing. Montreal, Canada: IEEE, 2004: 97-100.