Home environmental sound recognition based on MPEG-7 features

In this paper, an environmental sound recognition system based on MPEG-7 audio LLDs (low-level descriptors) is proposed. Traditional sound recognizer utilizes decision-tree based method and causes a problem where the parameter is not generalized. The HMM based sound recognizer has been introduced to resolve this drawback. However, it adopts spectrum parameter and will result in high dimensional feature vectors. This paper successfully solves the shortcoming by taking the basis extraction. The recognition rate is about 82% while only spectrogram is adopted as the parameter. The improved recognition rate is about 95% while three mentioned MPEG-7 audio LLDs are regarded as the parameters in our environmental sound recognizer. These three MPEG-7 audio LLDs are audio spectrum centroid descriptor, audio spectrum spread descriptor and audio spectrum flatness descriptor.