A paper "Audio Retrieval Based on Perceptual Similarity" from the MSIIP members Teng Zhang, Ji Wu,
Dingding Wang, Tao Li, was accepted by the conference "2014 collaborateCom".
The abstruct of this paper is attached below:
Given a short query audio clip, the goal of audio retrieval is to automatically fetch all
similar clips from a given audio database. Different from traditional audio similarity which is mainly based on priori
knowledge of objective reality, this paper proposes to use a more subjective method to measure the perceptual similarity
between audio clips. These perceptual features focus on users¨ personal experience, which can be very helpful for audio
retrieval across different databases. In addition, indexing and audio matching methods are introduced to speed up the
retrieval process. Experimental results on four different datasets are conducted to evaluate the effectiveness and
efficiency of our proposed approaches.