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(PDF) BIC-based audio segmentation by divide-and-conquer

    https://www.researchgate.net/publication/224762256_BIC-based_audio_segmentation_by_divide-and-conquer#:~:text=Audio%20segmentation%20has%20received%20increasing%20attention%20in%20recent,Gopalakrishnan%20is%20most%20well-known%20for%20its%20high%20accuracy.
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Evaluation of BIC-based algorithms for audio …

    https://www.sciencedirect.com/science/article/pii/S088523080400021X
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Evaluation of BIC-based algorithms for audio segmentation

    https://www.cs.helsinki.fi/group/aprill/asp/papers/CSL19.pdf
    Furthermore, a dynamic programming algorithm is presented that, within the BIC model, finds a globally optimal segmentation of the input audio stream. All algorithms are analyzed in detail from the viewpoint of the computational cost, experimentally evaluated on proper tasks, and compared. 2004 Elsevier Ltd. All rights reserved. * Corresponding author. Tel.: +39-0461-314 …

Evaluation of BIC-based algorithms for audio …

    https://www.researchgate.net/publication/222424873_Evaluation_of_BIC-based_algorithms_for_audio_segmentation
    Request PDF | Evaluation of BIC-based algorithms for audio segmentation | The Bayesian Information Criterion (BIC) is a widely adopted method for audio segmentation, and has inspired a …

Efficient audio segmentation algorithms based on the …

    https://www.researchgate.net/publication/4015349_Efficient_audio_segmentation_algorithms_based_on_the_BIC
    In this work, a Dynamic Programming (DP) algorithm which uses the BIC method to find globally the best segmentation of the input audio, is described, analyzed in detail, from the viewpoint of...

SPEECH LANGUAGE www.elsevier.com/locate/csl Evaluation …

    https://ccc.inaoep.mx/~villasen/bib/audioSegmentation.pdf
    21 Furthermore, a dynamic programming algorithm is presented that, within the BIC model, finds a 22 globally optimal segmentation of the input audio stream. 23 All algorithms are analyzed in detail from the viewpoint of the computational cost, experimentally 24 evaluated on proper tasks, and compared. 25 2004 Published by Elsevier Ltd. 26

(PDF) BIC-based audio segmentation by divide-and-conquer

    https://www.researchgate.net/publication/224762256_BIC-based_audio_segmentation_by_divide-and-conquer
    of two audio segments, they used Bayesian Information Criterion (BIC) [14] to evaluate the following two h ypotheses: 1) The union of the feature vectors of the two segments forms a Gaussian clus-...

(PDF) A BIC-POISSON-SVM Segmentation System for the ...

    https://www.researchgate.net/publication/258438690_A_BIC-POISSON-SVM_Segmentation_System_for_the_Albayzin'10_Audio_Segmentation_Evaluation
    The Bayesian Information Criterion (BIC) is a widely adopted method for audio segmentation, and has inspired a number of dominant algorithms for this application.

Optimized Audio Classification and Segmentation …

    https://www.hindawi.com/journals/mpe/2015/209814/
    Abstract. Audio segmentation is a basis for multimedia content analysis which is the most important and widely used application nowadays. An optimized audio classification and segmentation algorithm is presented in this paper that segments a superimposed audio stream on the basis of its content into four main audio types: pure-speech, music, environment sound, …

Audio Segmentation - McGill University

    http://www.music.mcgill.ca/~ich/classes/mumt611_07/presentations/shiyong/shiyong07audio.pdf
    Approaches - I Energy-based segmentation Detecting silence periods in the audio stream By the location information generated by decoder, such as silencBy the location information generated by decoder, such as silences, gender information, etc. By measuring and thresholding the audio energy Segment bSegment boundaries are hypothesized in such periodsoundaries are …

Development and Evaluation of Automatic -Speaker …

    https://www.researchgate.net/publication/236243084_Development_and_Evaluation_of_Automatic_-Speaker_based-_Audio_Identification_and_Segmentation_for_Broadcast_News_Recordings_Indexation
    Development and Evaluation of Automatic -Speaker based- Audio Identification and Segmentation for Broadcast News Recordings Indexation January 2006 DOI: 10.1109/ICTTA.2006.1684553

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