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- Time-series_segmentation abstract "Time-series segmentation is a method of time-series analysis in which an input time-series is divided into a sequence of discrete segments in order to reveal the underlying properties of its source. A typical application of time-series segmentation is in speaker diarization, in which an audio signal is partitioned into several pieces according to who is speaking at what times. Algorithms based on change-point detection include sliding windows, bottom-up, and top-down methods. Probabilistic methods based on hidden Markov models have also proved useful in solving this problem.".
- Time-series_segmentation wikiPageID "40886887".
- Time-series_segmentation wikiPageRevisionID "578906228".
- Time-series_segmentation subject Category:Time_series_analysis.
- Time-series_segmentation comment "Time-series segmentation is a method of time-series analysis in which an input time-series is divided into a sequence of discrete segments in order to reveal the underlying properties of its source. A typical application of time-series segmentation is in speaker diarization, in which an audio signal is partitioned into several pieces according to who is speaking at what times. Algorithms based on change-point detection include sliding windows, bottom-up, and top-down methods.".
- Time-series_segmentation label "Time-series segmentation".
- Time-series_segmentation sameAs m.0ynszrg.
- Time-series_segmentation sameAs Q17143752.
- Time-series_segmentation sameAs Q17143752.
- Time-series_segmentation wasDerivedFrom Time-series_segmentation?oldid=578906228.
- Time-series_segmentation isPrimaryTopicOf Time-series_segmentation.