Abstract
We propose a simple system for detecting warning sound. The system processes a signal captured by a microphone by an IIR band pass filter with a pass band covering warning sound spectrum and then applies an IIR comb filter corresponding to the fundamental frequency of warning sounds. The system calculates the ratio of the mean of the absolute values of the input signal to the output signal of the comb filter. If the ratio is smaller than a threshold, the system judges that warning sounds exist. As an experiment result, the proposed system can detect the ambulance sirens with accuracy above of 94% under noisy environments of SNR 0 dB, while over-detection rate is less than 3%. In an experiment using five real sounds recording approaching siren on the road, its accuracy ranges from 30 to 82%.
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Takeuchi, K., Matsumoto, T., Takeuchi, Y., Kudo, H., Ohnishi, N. (2014). A Smart-Phone Based System to Detect Warning Sound for Hearing Impaired People. In: Miesenberger, K., Fels, D., Archambault, D., Peňáz, P., Zagler, W. (eds) Computers Helping People with Special Needs. ICCHP 2014. Lecture Notes in Computer Science, vol 8548. Springer, Cham. https://doi.org/10.1007/978-3-319-08599-9_75
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DOI: https://doi.org/10.1007/978-3-319-08599-9_75
Publisher Name: Springer, Cham
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