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Analysis of Speaker Diarization based on Bayesian HMM with Eigenvoice Priors

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F19%3APU134972" target="_blank" >RIV/00216305:26230/19:PU134972 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216305:26230/20:PU134972

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/8910412" target="_blank" >https://ieeexplore.ieee.org/document/8910412</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/TASLP.2019.2955293" target="_blank" >10.1109/TASLP.2019.2955293</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Analysis of Speaker Diarization based on Bayesian HMM with Eigenvoice Priors

  • Original language description

    In our previous work, we introduced our Bayesian Hidden Markov Model with eigenvoice priors, which has been recently recognized as the state-of-the-art model for Speaker Diarization. In this paper we present a more complete analysis of the Diarization system. The inference of the model is fully described and derivations of all update formulas are provided for a complete understanding of the algorithm. An extensive analysis on the effect, sensitivity and interactions of all model parameters is provided, which might be used as a guide for their optimal setting. The newly introduced speaker regularization coefficient allows us to control the number of speakers inferred in an utterance. A naive speaker model merging strategy is also presented, which allows to drive the variational inference out of local optima. Experiments for the different diarization scenarios are presented on CALLHOME and DIHARD datasets.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    IEEE/ACM TRANSACTIONS ON AUDIO, SPEECH AND LANGUAGE PROCESSING

  • ISSN

    2329-9290

  • e-ISSN

    2329-9304

  • Volume of the periodical

    28

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    14

  • Pages from-to

    355-368

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-85075649332