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Broadcast news segmentation by audio type analysis ...

    https://www.researchgate.net/publication/224612453_Broadcast_news_segmentation_by_audio_type_analysis
    Request PDF | Broadcast news segmentation by audio type analysis | It is common for us to define audio types according to human perception instead of audio spectral properties. In …

(PDF) Broadcast News Segmentation with Factor …

    https://www.academia.edu/67094901/Broadcast_News_Segmentation_with_Factor_Analysis_System
    Broadcast News Segmentation with Factor Analysis System Diego Castan, Alfonso Ortega, Antonio Miguel and Eduardo Lleida University of Zaragoza, Spain [dcastan,ortega,amiguel,lleida]@unizar.es Abstract The different segmentation approaches in BN differ in ei- ther the feature extraction methods or the classifier.

(PDF) Hierarchical Audio Segmentation with HMM and …

    https://www.researchgate.net/publication/221486335_Hierarchical_Audio_Segmentation_with_HMM_and_Factor_Analysis_in_Broadcast_News_Domain
    In [1] segmentation is based on five differen t classes: silence, music, background sound, pure speech, and non-pure speech which include speech with m …

Broadcast News Segmentation with Factor Analysis System

    http://ceur-ws.org/Vol-1012/papers/paper-04.pdf
    Broadcast News Segmentation with Factor Analysis System Diego Castan, Alfonso Ortega, Antonio Miguel and Eduardo Lleida University of Zaragoza, Spain [dcastan,ortega,amiguel,lleida]@unizar.es Abstract This paper studies a novel audio segmentation-by-classication approach based on Factor Analysis (FA) with a channel com-

Broadcast News Segmentation with Factor Analysis System

    https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.417.3248
    broadcast news segmentation factor analysis system hierarchical structure novel audio segmentation-by-classification approach broadcast program special feature audio file evaluation campaign class no-class paper study system use specific feature factor analysis fa segmentation system channel compensation matrix log-likelihood ratio significant ...

AUDIO SEGMENTATION, CLASSIFICATION AND CLUSTERING …

    http://www1.cs.columbia.edu/~smaskey/candidacy/cand_papers/meinendo_audio_segmentation.pdf
    dio segmentation, classification and clustering system applied to a Broadcast News task for the European Portuguese language. We developed a new algorithm for audio segmentation that is both accurate and uses less computational resources than other approaches. Our speaker clustering module uses a modified BIC algorithm which performs ...

Audio segmentation-by-classification approach based on ...

    https://asmp-eurasipjournals.springeropen.com/articles/10.1186/s13636-014-0034-5
    The proposed evaluation task consisted of segmenting a broadcast news audio document into five acoustic classes: speech (SP), speech with noise (SN), speech with music (SM), music (MU), and others (OT).

Albayzín-2014 evaluation: audio segmentation and ...

    https://asmp-eurasipjournals.springeropen.com/articles/10.1186/s13636-015-0076-3
    Broadcast news segmentation by audio type analysis, vol. 2 (IEEEPhiladelphia, 2005), p. 1065. Google Scholar 27. A Hauptmann, R Baron, M Chen, in Proc. TRECVID. Informedia at TRECVID 2003: analyzing and searching broadcast news video (NISTGaithersburg, 2003). Google Scholar 28

Discourse Cues for Broadcast News Segmentation

    http://www1.cs.columbia.edu/~smaskey/candidacy/cand_papers/maybury_discourse_segmentation.pdf
    captioned text, audio, video) analysis system for web based broadcast news navigation. We employ a finite state machine to represent discourse states such as an anchor, reporter, or advertisting segment (See Figure 2). We further enhance these with multimedia cues (e.g. detected Silence, black or logo

Temporal Features for Broadcast News Segmentation

    https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.480.4107&rep=rep1&type=pdf
    Hub-4 Broadcast New corpus, using ABC World News Tonight recordings, with ten half-hour shows used for training and five more reserved for testing. In Section 2 we describe and evaluate the baseline ML classifier system developed for segmentation. The contour-based method for re-locating segment boundaries is discussed in Section 3, and Section 4

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