Perceptual Segment Clustering For Music Description And Time-axis Redundancy Cancellation.
作者： Tristan Jehan
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摘要: Repeating sounds and patterns are widely exploited throughout music. However, although analysis music information retrieval applications often concerned with processing speed description, they typically discard the benefits of sound redundancy cancellation. We propose a perceptually grounded model for describing as sequence labeled segments, reducing data complexity, compressing audio.
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columbia.edu 参考文章(12)
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