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- W151429136 abstract "Abstract This paper briefly describes the audio segmentation sys-tems developed by the Software Technology Working Group(http://gtts.ehu.es) at the University of the Basque Country(EHU), for the Albayzin 2010 Audio Segmentation Evaluation.The primary system consists of five Gaussian Mixture Modelsestimated independently on the reference segmentations pro-vided for development, and applied on a frame-by-frame ba-sis to get a sequence of smoothed log-likelihoods. The classyielding the maximum likelihood is chosen at each frame, andfinally a mode filter is applied to smooth the sequence of de-cisions. The contrastive system (used as speech/non-speeh de-tector in the GTTS submission to the Albayzin 2010 SpeakerDiarization Evaluation) consists of an ergodic Continuous Hid-den Markov Model with 5 states (one per class) and 512 mix-tures per state. Independent sets of segments (extracted from thereference segmentations provided for development) are used toestimate the emission distributions corresponding to the HMMstates, transition probabilities being heuristically fixed. Givenan input signal, this model produces an optimal decoding (andsegmentation) according to the maximum likelihood criterion.Index Terms: Audio Segmentation, Gaussian Mixture Models,Hidden Markov Models" @default.
- W151429136 created "2016-06-24" @default.
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- W151429136 date "2010-01-01" @default.
- W151429136 modified "2023-09-26" @default.
- W151429136 title "GTTS Systems for the Albayzin 2010 Audio Segmentation Evaluation" @default.
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