Description: A Novel Efficient Approach for Audio Segmentation
a novel approach to audio segmentation
is presented. The problem of detecting audio segments’
limits is treated as a binary classification task.
Frames are classified as “segment limits” vs “nonsegment
limits”. For each audio frame a spectrogram
is computed and eight feature values are extracted from
respective frequency bands. Final decisions are taken
based on a classifier combination scheme
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