Details

Title

Speaker Model Clustering to Construct Background Models for Speaker Verification

Journal title

Archives of Acoustics

Yearbook

2017

Volume

vol. 42

Numer

No 1

Publication authors

Divisions of PAS

Nauki Techniczne

Description

Archives of Acoustics is an English-language peer-reviewed quarterly journal publishing original research papers from all areas of acoustics and abstracts from some specialised acoustical conferences. It gives free internet access to its full content (abstracts of research papers) to current issues.

Archives of Acoustics, the peer-reviewed quarterly journal publishes original research papers from all areas of acoustics like:

  • acoustical measurements and instrumentation,
  • acoustics of musics,
  • acousto-optics,
  • architectural, building and environmental acoustics,
  • bioacoustics,
  • electroacoustics,
  • linear and nonlinear acoustics,
  • noise and vibration,
  • physical and chemical effects of sound,
  • physiological acoustics,
  • psychoacoustics,
  • quantum acoustics,
  • speech processing and communication systems,
  • speech production and perception,
  • transducers,
  • ultrasonics,
  • underwater acoustics.

Earlier issues are available on the old website http://acoustics.ippt.gov.pl/index.php/aa/issue/archive

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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