This abstract discussed the implementation of speech recognition applications to control the on-off electrical device of speech. The work is divided into two modes. Offline mode and online mode. To use voice commands to turn on-off electrical device. Which the words sound as a statement. The speech sounds in offline mode is saved in SOPARE voice and speech mode are saved online in Google Assistant via the microphone. Then process the Raspberry pi 3 board to send data to the wireless transceiver module to control the power on-off. From testing the control system for opening and closing electrical devices with sound it was found that the sound test in the offline mode of the power-on-off control system with sound the accuracy of 96 percent of the voice command and the accuracy of the lamp according to the voice command spoken 100 percent accuracy. Sound tests in the online mode of the power-on-off control system with sound the accuracy of 8 7 percent voice commands and the accuracy of the lamp according to the voice command spoken 100 percent accuracy. The power-on-off control system with sound. Can be used to effectively control the opening and closing of electrical equipment. Only the user speaks the voice commands as needed and can immediately turn on-off the electrical equipment. Helps reduce steps and shorten the time of use making it more convenient

The purpose of this research was to construct experimental learning kit on sound velocity finding by resonance method in order to use for a material in Physics Laboratory I. The instruments used in this study included : 1) an experimental learning kit on sound velocity finding by resonance method with the experimental manual and the record forms 2) the pre-studying and the post-studying forms and 3) the questionnaires about students satisfaction in using the kit. The samples consisted of 32 first year students studying in the faculty of Engineering and Architecture. The results showed that the post-test have the higher significant than the pre-test score at level of 0.05. It was found that the sound velocity from both the theoretical and the experimental framework did not significantly different at the level of 0.05. The end correction by experiment higher significant than by calculation at level of 0.01 and students were highly satisfied in using the invented kit.

The purpose of this study. To create sound books for the blind to the blind students have learned. Listened to sound books. The knowledge about the course to determine the efficiency of computer technology and satisfaction. Of sound books. Record management by preparing a division title a body of knowledge topics. And explanations of exercises or reading record sheets for each of the slides were not reading books documents will continue throughout. Daisy produced using data recorded on a VCD disc audio and text content knowledge displayed simultaneously and then applied to the sample. The elementary school years 4-6 After data collection ended. Teaching with the query. By a separate data reading. Reading divided by topics into each side. Students listen to the blind. A total of 38 data sets representing 84.44 per cent from the number of students and 45 students. The study found that creating audio books for the blind to blind students. Satisfaction levels in the average level of 4.15 and very good audio books build knowledge about the course of computer technology for blind people. Their knowledge of academic Ability to form and practice and performance satisfaction.

This article presents texture analysis of crispy snack products by using Acoustic Emission (AE) to measure sound that occurred when the products were chewed or broken. This technique has currently gained great interest from food scientists. A sound emitted from food was found to be related with microstructure and crispness. Measurement of sound emitted from food when it was chewed consists of three main steps: 1) Apply force on piece of food with a texture analyzer; 2) Detect sound signal with an acoustic envelop detector; and 3) Interpret the collected data of mechanical force and acoustic emission.