Detection of Boat Noise by a Convolutional Neural Network for a Boat Information System
* Presenting author
Some of boat noises cause noisiness and annoyance to a resident near a canal. We proposed an information system to notice about coming noisy boat by a cellphone using an audiovisual effect. However, the system had a problem to detect of boat coming at night by camera. Then we investigated the train data to detect a boat noise in environmental sound by a convolutional neural network (CNN). In the detection of boat noise, we used the train data using the spectrogram of the environmental sound. We investigated the spectrogram configuration for improvement of the boat noise detection. As a result, when the spectrogram configuration was the time axis of 5 seconds and the frequency axis between 10 and 750 Hz, the detection performance became the highest accuracy of over 95 %.