Page 143 - 《应用声学》2020年第3期

第 39 卷 第 3 期 杨春勇等： 融合声纹信息的能量谱图在鸟类识别中的研究 463

[12] Stowell D, Benetos E, Gill L F. On-bird sound record- South Korea: Springer, 2007: 828–837.
ings: automatic acoustic recognition of activities and con- [20] 张东波, 陈治强, 易良玲, 等. 图像微观结构的二值化表示与
texts[J]. IEEE/ACM Transactions on Audio Speech & 目标识别应用 [J]. 电子与信息学报, 2018, 40(3): 633–640.
Language Processing, 2017, 25(6): 1193–1206. Zhang Dongbo, Chen Zhiqiang, Yi Liangling, et al. Bi-
[13] Grosche P, Serrà J, Müller M, et al. Structure-based audio narization representation of image microstructure and the
fingerprinting for music retrieval[C]. International Society application of object recognition[J]. Journal of Electronics
for Music Information Retrieval, 2012. and Information Technology, 2018, 40(3): 633–640.
[14] Wu M, Ren J. Mirex 2011 submission-combining visual [21] 周柯. 基于 HOG 特征的图像人体检测技术的研究与实现 [D].
and acoustic features for music genre classification[C]. In-
武汉: 华中科技大学, 2008.
ternational Conference on Machine Learning & Appli-
[22] Chen D, Cao X, Wen F, et al. Blessing of dimensional-
cations & Workshops. IEEE Computer Society, 2014:
ity: high-dimensional feature and its efficient compression
124–129.
for face verification[C]// Computer Vision and Pattern
[15] Nanni L, Costa Y M G, Lumini A, et al. Combining vi-
Recognition. IEEE, 2013: 3025–3032.
sual and acoustic features for music genre classification[J].
[23] Lowe D G. Distinctive image features from scale-invariant
Expert Systems with Applications, 2016, 45(C): 108–117.
keypoints[J]. International Journal of Computer Vision,
[16] Su X, Lin W, Zheng X, et al. A new local-main-gradient-
2004, 60(2): 91–110.
orientation HOG and contour differences based algorithm
[24] 唐贤伦, 杜一铭, 刘雨微, 等. 基于条件深度卷积生成对抗网
for object classification[C]// IEEE International Sympo-
络的图像识别方法 [J]. 自动化学报, 2018, 44(5): 855–864.
sium on Circuits and Systems. IEEE, 2013: 2892–2895.
Tang Xianlun, Du Yiming, Liu Yuwei, et al. Image
[17] Bisot V, Essid S, Richard G. HOG and subband power
distribution image features for acoustic scene classifica- recognition with conditional deep convolutional generative
tion[C]// Signal Processing Conference. IEEE, 2015: adversarial networks[J]. Acta Automatica Sinica, 2018,
44(5): 855–864.
719–723.
[18] Ojala T, Pietikainen M, Maenpaa T. Multiresolution gray- [25] Goodfellow I J, Pouget-Abadie J, Mirza M, et al. Gen-
scale and rotation invariant texture classification with erative adversarial nets[C]// International Conference on
local binary patterns[J]. IEEE Transactions on Pattern Neural Information Processing Systems, 2014.
Analysis and Machine Intelligence, 2002, 24(7): 971–987. [26] Medhat F, Chesmore D, Robinson J. Masked conditional
[19] Liao S, Zhu X, Lei Z, et al. Learning multi-scale block lo- neural networks for environmental sound classification[C].
cal binary patterns for face recognition[C]. Proceedings of International Conference on Innovative Techniques and
the 2007 International Conference on Bio-metrics. Seoul, Applications of Artificial Intelligence, 2017.