Abstract
The demand for security is more and more increasing these days because of high crime rate. This paper proposes a new Indoor Observation System based on Environmental Sounds recognition (IOSES) for a security system. The IOSES is useful for various kinds of needs such as office security, home security, and so on. It uses two microphones in order to detect the direction of the sound sources. The IOSES operates as follows. First, it analyzes a background noise in order to reduce it. Spectrum subtraction method is employed for the noise reduction. The IOSES detects a sound to be recognized using some parameters even if in a noisy environment. The IOSES decides the detected sound using a recognition result by a neural network, the characteristics of the detected sound (intermittence), and the direction of the sound source. The neural network plays an important role in the decision. Neural networks are effective since they do not require modeling of sound to be recognized. After these processes, the IOSES judges the situation of the indoor environment. Computer simulations and experiments in a real environment are carried out. The results indicate the effectiveness of the proposed LOSES for a practical use.
