Audio Matching via Chroma-Based Statistical Features
نویسندگان
چکیده
In this paper, we describe an efficient method for audio matching which performs effectively for a wide range of classical music. The basic goal of audio matching can be described as follows: consider an audio database containing several CD recordings for one and the same piece of music interpreted by various musicians. Then, given a short query audio clip of one interpretation, the goal is to automatically retrieve the corresponding excerpts from the other interpretations. To solve this problem, we introduce a new type of chroma-based audio feature that strongly correlates to the harmonic progression of the audio signal. Our feature shows a high degree of robustness to variations in parameters such as dynamics, timbre, articulation, and local tempo deviations. As another contribution, we describe a robust matching procedure, which allows to handle global tempo variations. Finally, we give a detailed account on our experiments, which have been carried out on a database of more than 110 hours of audio comprising a wide range of classical music.
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