基于智能语音识别控制技术的垃圾分类系统设计与实现

广东东软学院本科毕业设计（论文）AbstractWith the continuous development of Chinese society,the problem ofenvironmental pollution in China is becoming more and more serious.Nowadays,people pay more and more attention to the living environment,and the country has started to advocate garbage classification and recycling.However,because the general public has a low awareness of garbageclassification,it is difficult to achieve the goal of standardizing large-scalegarbage classification.Designed for hardware and software.The hardwarepart will use STM32F103 microprocessor module,LD3320 speechrecognition module,JQ8900 speech output module,and steering gear.Itmainly USES speech recognition technology to control the operation ofgarbage cans by processing sound signals.The user speaks the name of thejunk.In the LD3320,pre-emphasis,windowing,and endpoint detection areused to process the voice signal based on the information of the voice.Thenthe operation of voice-to-text and keyword comparison is used to identify thejunk name provided by the user.What kind of garbage it belongs to.Thesoftware part mainly controls the driving of the trash can switch,voicematching processing,and interactive audio output,thereby completing thevoice control function of the intelligent voice trash can withhuman-computer interaction,and the call can be answered.The design can be widely applied to families in big cities and effectivelyalleviate the contradiction between the garbage classification and disposalability of residents in big cities and their garbage classification knowledge.The daily household use is very convenient,and it can also have the effect ofeducation and learning of garbage classification.It is of great help to raisethe awareness of national waste and build a civilized and healthy city,with agood market prospectKeywords:LD3320 module STM32F103 garbage classification;