With the continuous development of my country's economy, urbanization is getting higher and higher, making people's domestic garbage more and more, and the problem of garbage sorting is becoming more and more serious. In order to avoid the damage of daily garbage on the ecological environment, reduce the huge impact of daily garbage on the environment, and facilitate the use of the cycle of garbage and propaganda to the public to classify garbage. This article uses a STM32 single -chip machine. When the user says the password of the garbage or the name of the trash can, the voice recognition module of the trash can will be identified on the user password. The overall assembly welding is carried out to complete the debugging, which proves that it has high stability and reliability. To a certain extent, it has certain significance to reduce the workload of sanitation workers and their sanitation work management.

Li Hu, Mengling Zhang, Xiaoping Li, Shuai Yan, Hui Zhong, Wei Long. Design and implementation of intelligent voice classification trash cans. International Journal of Frontiers in Engineering Technology (2023), Vol. 5, Issue 11: 54-60. https://doi.org/10.25236/IJFET.2023.051109.

[1] Yu Wen, Wang Yan, Zhang Jiajia, etc. Structural Design and Function Realization of M-ultifunctional Garbage Bin[J]. Industrial instrument and automation device,2022(01): 117-120.DOI: 10. 19950/j.cnki.cn61-1121/th.2022.01.024.

[2] Hu Zhenshan, Jiang Zhenqing, Lu Haiyan. GSM-based Trash Bin Overflow Alarm System design [J]. Internet of Things technology,2022,12(01):4-6.DOI:10.16667/j.issn.2095-1302.2022.01.001.

[3] Pan Zhongxun, Ge Yutong, Dong Jingwei, etc. The Design of Smart Trash Can Based on Deep Learning [J]. Technology and innovation,2022(01):66-68.DOI:10.15913/j.cnki.kjycx.2022.01.021.

[4] Xu Yunping. Smart Classification Dustbin based on Speech Recognition [J]. Electronic test, 2022 (01):23-25.DOI:10.16520/j.cnki.1000-8519.2022.01.005.

[5] Gao Yingying, Zhang Wei. Home System Controlled by Intelligent Speech Recognition Function [J]. Single -chip microcomputer and embedded system application,2022,22(09):88-91.

[6] Qu Wei, Wang Zhiliang. STM32 single-chip microcomputer application foundation and project practice-micro-class version [M]. Beijing. Tsinghua University Press,2019.

[7] Li Chaoqing. Single -chip machine principle and interface technology [M]. Beijing: Beijing Aeronautics and Astronautics University Press,1998:65-70.

[8] Liu Heping. The principle and application of the single -chip machine [M]. Chongqing: Chongqing University Press, 1999:98-105.

[9] Su Peng, Zhou Fengyu, Chen Lei. Embedded Speech Recognition Module Based on STM32 [J]. Single -chip machine and embedded system application,2011,11(2):42-45.

[10] Ma Zhongmei. The C-language application design of the single-chip microcomputer [M]. Beijing: Publishing Du of Aerospace University,1999.

[11] ZHANG R Q,KIKUI G. Integration of speech recognition and machine translation: Speech recognition word lattice translation[J]. Speech Communication,2005,48(3):3-4.

[12] UMESH S. Studies on inter-speaker variability in speech and its application in automatic speech recognition Anonymous [J]. Sadhana,2011,36(1):853-883.

[13] Pradeep Rathore, Sarada Prasad Sarmah, Arti Singh. Location–allocation of bins in urban solid waste management: a case study of Bilaspur city, India[J]. Environment, Development and Sustainability, 2020, 22(4).

[14] Environmental Research. Investigators from Chinese Academy of Sciences Target Environmental Research (Effect of Source-classified and Mixed Collection From Residential Household Waste Bins On the Emission Characteristics of Volatile Organic Compounds)[J]. Ecology, Environment & Conservation,2020.