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