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Temporal Segmentation and Pre-analysis for Non-linear Time-scaling of Audio.
We present a method to achieve good segmentation of note events for use with non-linear time scaling algorithms, greatly reducing artefacts due to both rhythmic distortions and soft note transitions being treated as percussive transients. The proposed algorithm isolates percussive transients as a subset of note-onsets, leading to a more meaningful segmentation. A subband based hybrid onset detection algorithm forms the basis of this segmentation scheme. A new frequency content distance measure, automatic threshold setting and subband result validation are all key elements of this scheme. At the subband re-combining stage the algorithm differentiates between note onsets, which may appear in one or more subbands, from percussive transients that appear in multiple subbands.
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