|
卜宇飞, 祁骁杰, 温俊宝, 等. 7种林木蛀干害虫的声音特征分析. 南京林业大学学报:自然科学版, 2016. 40 (2): 179- 184.
|
|
Bu Y F , Qi X J , Wen J B , et al. Acoustic characteristics analysis of seven species of tree trunk borers. Journal of Nanjing Forestry University:Natural Sciences Edition, 2016. 40 (2): 179- 184.
|
|
卜宇飞. 2016.侦听技术监测林木蛀干害虫研究.北京:北京林业大学硕士学位论文.
|
|
Bu Y F. 2016. Study on acoustic detection technology for monitoring of tree trunk borers. Beijing: MS thesis of Beijing Forestry University.[in Chinese]
|
|
卜宇飞, 祁骁杰, 温俊宝, 等. 2种天牛幼虫的4类声行为特征. 浙江农林大学学报, 2017. 34 (1): 50- 55.
|
|
Bu Y F , Qi X J , Wen J B , et al. Acoustic behaviors for two species of cerambycid larvae. Journal of Zhejiang A & F University, 2017. 34 (1): 50- 55.
|
|
陈梅香, 杨信廷, 石宝才, 等. 害虫自动识别与计数技术研究进展与展望. 环境昆虫学报, 2015. 37 (1): 176- 183.
|
|
Chen M X , Yang X T , Shi B C , et al. Research progress and prospect of technologies for automatic identifying and counting of pests. Journal of Environmental Entomology, 2015. 37 (1): 176- 183.
|
|
陈玉平, 韩纪庆, 郑铁然. 基于动态排位信息的语音关键词确认方法. 计算机工程, 2008. (10): 161- 162, 165.
doi: 10.3969/j.issn.1000-3428.2008.10.058
|
|
Chen Y P , Han J Q , Zheng T R . Speech keyword verification based on dynamic ranking information. Computer Engineering, 2008. (10): 161- 162, 165.
doi: 10.3969/j.issn.1000-3428.2008.10.058
|
|
冯国民. 园林植物钻蛀害虫的防治方法. 植物医生, 2011. 24 (1): 23- 24.
doi: 10.3969/j.issn.1007-1067.2011.01.017
|
|
Feng G M . The control method of borer pests in garden plants. Plant Doctor, 2011. 24 (1): 23- 24.
doi: 10.3969/j.issn.1007-1067.2011.01.017
|
|
郭敏, 尚志远. 储粮害虫声信号的检测和应用. 物理, 2001. 30 (1): 39- 42.
|
|
Guo M , Shang Z Y . Dtection and application of acoustical signals of pests in stored grain. Physics, 2001. 30 (1): 39- 42.
|
|
高晓兵. 园林植物钻蛀害虫的防治. 河北林业, 2010. (5): 31.
|
|
Gao X B . The control of borer pests in garden plants. Hebei Forestry, 2010. (5): 31- 31.
|
|
娄定风, 周红生, 刘新娇, 等. 木材钻蛀害虫声测传声器的研究. 植物检疫, 2013. 27 (6): 46- 50.
doi: 10.3969/j.issn.1005-2755.2013.06.007
|
|
Lou D F , Zhou H S , Liu X J , et al. Study on microphones for collecting sound of wood borers. Plant Quarantine, 2013. 27 (6): 46- 50.
doi: 10.3969/j.issn.1005-2755.2013.06.007
|
|
黎煊, 赵建, 高云, 等. 基于深度信念网络的猪咳嗽声识别. 农业机械学报, 2018. 49 (3): 179- 186.
|
|
Li X , Zhao J , Gao Y , et al. Recognition of pig cough sound based on deep belief nets. Transactions of the Chinese Society for Agricultural Machinery, 2018. 49 (3): 179- 186.
|
|
祁骁杰, 卜宇飞, 许志春, 等. 杨树木段内光肩星天牛幼虫数量的声学检测. 环境昆虫学报, 2016. 38 (3): 529- 534.
|
|
Qi X J , Bu Y F , Xu Z C , et al. Using acoustic technology detect the different numbers of Anoplophora glabripennis larvae in poplar. Journal of Environmental Entomology, 2016. 38 (3): 529- 534.
|
|
祁骁杰. 2016.蛀干害虫幼虫声音信号特征及其影响因素研究.北京:北京林业大学硕士学位论文.
|
|
Qi X J. 2016. Study on characteristics and influencing factors of sounds of wood-boring beetle larvae. Beijing: MS thesis of Beijing Forestry University.[in Chinese]
|
|
孙钰, 张冬月, 袁明帅. 基于深度学习的诱捕器内红脂大小蠹检测模型. 农业机械学报, 2018. 49 (12): 180- 187.
doi: 10.6041/j.issn.1000-1298.2018.12.023
|
|
Sun Y , Zhang D Y , Yuan M S . Detection model of in-trap Red turpentine beetle based on deep learning. Transactions of the Chinese Society of Agricultural Machinery, 2018. 49 (12): 180- 187.
doi: 10.6041/j.issn.1000-1298.2018.12.023
|
|
韦雪青, 温俊宝, 赵源吉, 等. 害虫声音监测技术研究进展. 林业科学, 2010. 46 (5): 147- 154.
|
|
Wei X Q , Wen J B , Zhao Y J , et al. Review on monitoring technology of the insect acoustic. Scientia Silvae Sinicae, 2010. 46 (5): 147- 154.
|
|
王晓园. 浅析园林植物钻蛀性害虫的防治. 现代园艺, 2011. (19): 49- 49.
doi: 10.3969/j.issn.1006-4958.2011.19.039
|
|
Wang X Y . Analysis on the control of borer pests in garden plants. Modem Horticulture, 2011. (19): 49- 49.
doi: 10.3969/j.issn.1006-4958.2011.19.039
|
|
许小芳, 周红生, 娄定风, 等. 木材钻蛀性害虫活动声信号的采集与分析. 西安: 上海市声学学会声学学术会议. 2011.
|
|
Xu X F , Zhou H S , Lou D F , et al. Acoustic signal acquisition and analysis of wood drilling borer pests. Xi'an: Shanghai Acoustical Society Conference on Acoustics. 2011.
|
|
邢亚从. 几种语音端点检测方法简介. 福建电脑, 2011. 27 (11): 67- 68.
doi: 10.3969/j.issn.1673-2782.2011.11.036
|
|
Xing Y C . Introduction to several voice endpoint detection methods. Fujian Computer, 2011. 27 (11): 67- 68.
doi: 10.3969/j.issn.1673-2782.2011.11.036
|
|
竺乐庆, 王鸿斌, 张真. 基于Mel倒谱系数和矢量量化的昆虫声音自动鉴别. 昆虫学报, 2010. 53 (8): 901- 907.
|
|
Zhu L Q , Wang H B , Zhang Z . Automatic acoustical identification of insects based on MFCC and VQ. Acta Entomologica Sinica, 2010. 53 (8): 901- 907.
|
|
竺乐庆, 张真. 基于MFCC和GMM的昆虫声音自动识别. 昆虫学报, 2012. 55 (4): 466- 471.
doi: 10.3969/j.issn.1674-0858.2012.04.11
|
|
Zhu L Q , Zhang Z . Automatic recognition of insect sounds using MFCC and GMM. Acta Entomologica Sinica, 2012. 55 (4): 466- 471.
doi: 10.3969/j.issn.1674-0858.2012.04.11
|
|
张怡. 林业害虫识别与分类方法的分析. 花卉, 2017. (8): 114- 115.
|
|
Zhang Y . Analysis of forest pest identification and classification methods. Flowers, 2017. (8): 114- 115.
|
|
Chen G G , Parada C , Heigold G . Small-footprint keyword spotting using deep neural networks. 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Florence Italy, 2014.
|
|
Dosunmu O G , Herrick N J , Haseeb M , et al. Acoustic detectability of Rhynchophorus cruentatus (Coleoptera:Dryophthoridae). Florida Entomologist, 2014. 97 (2): 431- 439.
doi: 10.1653/024.097.0213
|
|
Hansen J D , Webb J C , Armstrong J W , et al. Acoustical detection of Oriental fruit fly (Diptera:Tephritidae) larvae in Papaya. Journal of Economic Entomology, 1988. 81 (3): 963- 965.
doi: 10.1093/jee/81.3.963
|
|
Herrick N J , Mankin R W . Acoustical detection of early instar Rhynchophorus ferrugineus (Coleoptera:Curculionidae) in Canary Island date palm, Phoenix canariensis (Arecales:Arecaceae). Florida Entomologist, 2012. 95 (4): 983- 991.
doi: 10.1653/024.095.0425
|
|
Kahl S , Wilhelm-Stein T , Klinck H , et al. Recognizing birds from sound-the 2018 BirdCLEF baseline system. BirdCLEF 2018, Avignon France, 2018.
|
|
Mankin R W , Smith M T , Tropp J M , et al. Detection of Anoplophora glabripennis (Coleoptera:Cerambycidae) larvae in different host trees and tissues by automated analyses of sound-impulse frequency and temporal patterns. Journal of Economic Entomology, 2008. 101 (3): 838- 849.
doi: 10.1603/0022-0493(2008)101[838:DOAGCC]2.0.CO;2
|
|
Mankin R W , Hagstrum D , Smith M , et al. Perspective and promise:a century of insect acoustic detection and monitoring. American Entomologist, 2011. 57 (1): 30- 44.
doi: 10.1093/ae/57.1.30
|
|
Mankin R W , Al-Ayedh H Y , Aldryhim Y , et al. Acoustic detection of Rhynchophorus ferrugineus (Coleoptera:Dryophthoridae) and Oryctes elegans (Coleoptera:Scarabaeidae) in Phoenix dactylifera (Arecales:Arecacae) trees and offshoots in Saudi Arabian orchards. Journal of Economic Entomology, 2016. 109 (2): 622- 628.
doi: 10.1093/jee/tov398
|
|
Mankin R W , Burman H , Menocal O , et al. Acoustic detection of Mallodon dasystomus (Coleoptera:Cerambycidae) in Persea americana (Laurales:Lauraceae) branch stumps. Florida Entomologist, 2018. 101 (2): 321- 324.
doi: 10.1653/024.101.0226
|
|
Njoroge A W , Affognon H , Mutungi C , et al. Frequency and time pattern differences in acoustic signals produced by Prostephanus truncatus (Horn)(Coleoptera:Bostrichidae) and Sitophilus zeamais (Motschulsky)(Coleoptera:Curculionidae) in stored maize. Journal of Stored Products Research, 2016. 69, 31- 40.
doi: 10.1016/j.jspr.2016.06.005
|
|
Njoroge A W , Mankin R W , Smith B W , et al. Effects of hermetic storage on adult Sitophilus oryzae L.(Coleoptera:Curculionidae) acoustic activity patterns and mortality. Journal of Economic Entomology, 2017. 110 (6): 2707- 2715.
doi: 10.1093/jee/tox260
|
|
Raffel C , Ellis D . Feed-forward networks with attention can solve some long-term memory problems. International Conference on Learning Representations, San Juan, Puerto Rico, 2016.
|
|
Sainath T , Parada C . Convolutional neural networks for small-footprint keyword spotting. Interspeech, 2015, Dresden, Germany, 2015. 2015
|
|
Sun M , Raju A , Tucker G , et al. Max-pooling loss training of long short-term memory networks for small-footprint keyword spotting. 2016 IEEE Spoken Language Technology Workshop (SLT), San Juan, Puerto Rico, 2016.
|
|
Tang R , Lin J . Deep residual learning for small-footprint keyword spotting. 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul Korea, 2018.
|
|
Yao Q , Jun L , Liu Q J , et al. An insect imaging system to automate rice light-trap pest identification. Journal of Integrative Agriculture, 2012. 11 (6): 978- 985.
doi: 10.1016/S2095-3119(12)60089-6
|
|
Zeng M J , Xiao N F . Effective combination of DenseNet and BiLSTM for keyword spotting. IEEE Access, 2019. 7, 10767- 10775.
doi: 10.1109/ACCESS.2019.2891838
|