| Summary: | 碩士 === 國立中央大學 === 土木工程學系 === 107 === With the rapid development of science and technology, BIM, AI, and VR technologies have gradually matured. Among them, the growth of Artificial Intelligence has become most remarkable. This progress has gradually changed people’s living habits. For example, a voice query or personalized secretary function can be achieved through voice recognition of a cell phone. Sound is also a very important issue for buildings, such as simulating the sound transmission and noise control in indoor or outdoor scenes of buildings through various technologies. At present, the application of sound positioning has great potential, but sound positioning technology is still subject to noise, obstacles, etc. Therefore, this study would like to propose a sound localization method to solve the above problem.
This study uses BIM, VR, and HRTF techniques to achieve a Virtual sound field. Collecting the audio and then uses AI training to achieve sound positioning. After verification, we learned that: Using the sound positioning method proposed in this study, in the AI training stage, noises with a signal to noise ratio 0.3 are added. The accuracy is 95.2% when the resolution is 25m2; The accuracy is 89.3% when the resolution is 12m2. In continuous stream of audio, when the resolution is 25 m2 and 12m2, it can be 100% recognized, and the accuracy is as high as 94% and 86% respectively.
In this study, the verification area selected kitchen and living areas with more obstacles. Compared with traditional sound localization affected by obstacles, through the sound parameterization framework proposed in this study, more features are obtained in the AI training stage to achieve higher accuracy. Also solves the doubts about the limited scope of today's sound positioning applications. Compared to other radio frequency positioning technologies, it is limited by metal shielding. The sound positioning function of the institute can be used to collect different frequencies and capture a specific frequency for positioning. In order to increase the feasibility of sound positioning in a complex environment, such as fire field, and so on.
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