Adaptive Temporal Modeling of Audio Features in the Context of Music Structure Segmentation
作者： Florian Kaiser , Geoffroy Peeters
DOI: 10.1007/978-3-319-12093-5_15
关键词:
摘要: This paper describes a method for automatically adapting the length of temporal modeling applied to audio features in context music structure segmentation. By detecting regions homogeneous acoustical content and abrupt changes feature sequence, we show that can consequently adapt capture both fast- slow- varying structural information signal. Evaluation shows is consistently adapted different musical contexts, allowing robust segmentation while gaining independence regarding parameter tuning.
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