標題: Acoustic Scene Change Detection by Spectro-Temporal Filtering on Spectrogram using Chirps
作者: Lin, Chang-Hong
Cheong, Kah-Meng
Huang, Mao-Chang
Chen, Ming-Yen
Chang, Chen-Kuei
Chi, Tai-Shih
電機工程學系
Department of Electrical and Computer Engineering
公開日期: 2016
摘要: Indoor acoustic scene change detection systems using periodic impulse signals were developed in the past. Comparing with impulse signals, the chirp signal is more robust against environmental noise due to its specific spectro-temporal structure, which can be easily detected using a spectro-temporal modulation filtering mechanism. In this paper, we demonstrate a system which employs the two-dimensional spectro-temporal filtering mechanism on Fourier spectrogram to measure the total energy of reverberations of the chirp signal and compares the energy difference between consecutive chirps with a predefined threshold to automatically detect the change of the acoustic scene. Simulation results show the proposed system is very effective in detecting the acoustic scene change in a real living room with great robustness against noise recorded from real-world.
URI: http://hdl.handle.net/11536/135262
ISBN: 978-988-14768-2-1
期刊: 2016 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA)
顯示於類別:會議論文