Details

Title

Speaker Model Clustering to Construct Background Models for Speaker Verification

Journal title

Archives of Acoustics

Yearbook

2017

Numer

No 1

Publication authors

Divisions of PAS

Nauki Techniczne

Publisher

Committee on Acoustics PAS, PAS Institute of Fundamental Technological Research, Polish Acoustical Society

Date

2017

Identifier

ISSN 0137-5075 ; eISSN 2300-262X

References

De Leon (2007), Reducing Speaker Model Search Space in Speaker Identification, Biometrics Symposium USA, 1. ; Saeidi (2010), Rod - man Joint frame and Gaus - sian selection for text independent speaker verification IEEE International Conference on Acoustics Speech and Signal Processing, USA, 4530. ; Richardson (2015), Deep Neural Network Approaches to Speaker and Lan - guage Recognition Processing, IEEE Signal Letters, 22, 1671, doi.org/10.1109/LSP.2015.2420092 ; Zhu (2011), Speaker Verification With Feature - Space MAPLR Parameters, IEEE Trans Audio Speech Processing, 19, 505, doi.org/10.1109/TASL.2010.2051269 ; Hossa (2016), An Effective Speaker Clustering Method using UBM and Ultra - Short Train - ing Utterances of, Archives Acoustics, 41, 107, doi.org/10.1515/aoa-2016-0011 ; Apsingekar (2009), Speaker Model Clustering for Efficient Speaker Identification in Large Population Applications, IEEE Trans Audio Speech Processing, 17, 848, doi.org/10.1109/TASL.2008.2010882 ; McLaren (2010), Data - Driven Background Dataset Selection for SVM - Based Speaker Verification, IEEE Trans Audio Speech Processing, 18, 1496, doi.org/10.1109/TASL.2009.2035786 ; Reynolds (1995), Robust text - independent speaker identification using Gaussian mix - ture speaker models Speech Audio Pro - cess, IEEE Trans, 72. ; Auckenthaler (2001), Gaussian selection applied to text - independent speaker verifica - tion Speaker Odyssey : The Speaker Recognition Workshop, Proc, 83. ; Dehak (2011), Front - End Factor Analysis for Speaker Verification, IEEE Trans Audio Speech Processing, 19, 788, doi.org/10.1109/TASL.2010.2064307 ; Brew (2010), Combining cohort and UBM models in open set speaker detection Mul - timed, Tools Appl, 48, 141, doi.org/10.1007/s11042-009-0381-x ; Reynolds (1995), Speaker Identification and Verification using Gaussian mixture speaker odels, Speech Communication, 17, 91, doi.org/10.1016/0167-6393(95)00009-D ; Campbell (1997), Speaker recognition : a tutorial, Proc IEEE, 85, 1437, doi.org/10.1109/5.628714 ; Kenny (2007), Joint Factor Analysis Versus Eigen - channels in Speaker Recognition Speech, IEEE Trans Audio Lang Process, 15, 1435, doi.org/10.1109/TASL.2006.881693 ; Doddington (2000), The NIST speaker recognition eval - uation - Overview methodology systems results per - spective, Speech Communication, 31, 225, doi.org/10.1016/S0167-6393(99)00080-1 ; Kinnunen (2010), An overview of text - independent speaker recognition : From features to su - pervectors, Speech Communication, 52, 12, doi.org/10.1016/j.specom.2009.08.009 ; McClanahan (2012), Mixture Component Clustering for Efficient Speaker Verifica - tion Interspeech, USA, 1086. ; McClanahan (2015), Reduc - ing computation in an i - vector speaker recognition sys - tem using a tree - structured universal background model, Speech Communication, 66, 36, doi.org/10.1016/j.specom.2014.07.003 ; Bimbot (2004), A Tutorial on Text - Independent Speaker Verification, Signal Process, 430. ; Xiang (2003), Efficient text - independent speaker verification with structural gaus - sian mixture models and neural network Audio Process, IEEE Trans Speech, 11, 447.

DOI

10.1515/aoa-2017-0014

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