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On the use of i-vector posterior distributions in probabilistic linear discriminant analysis

IEEE/ACM transactions on audio, speech, and language processing, 2014-04, Vol.22 (4), p.846-857

2014

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Automatic language identification using deep neural networks

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014, p.5337-5341

2014

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IEEE_Xplore

Audio enhancing with DNN autoencoder for speaker recognition

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016, p.5090-5094

2016

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IEEE_Xplore

Multilingually trained bottleneck features in spoken language recognition

Computer speech & language, 2017-11, Vol.46, p.252-267

2017

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End-to-end DNN based text-independent speaker recognition for long and short utterances

Computer speech & language, 2020-01, Vol.59, p.22-35

2020

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Discriminatively trained Probabilistic Linear Discriminant Analysis for speaker verification

2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011, p.4832-4835

2011

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IEEE_Xplore

Multisv: Dataset for Far-Field Multi-Channel Speaker Verification

ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022, p.7977-7981

2022

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IEEE_Xplore

13 years of speaker recognition research at BUT, with longitudinal analysis of NIST SRE

Computer speech & language, 2020-09, Vol.63, p.101035, Article 101035

2020

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Parameter-Efficient Transfer Learning of Pre-Trained Transformer Models for Speaker Verification Using Adapters

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023, p.1-5

2023

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IEEE_Xplore

Probabilistic linear discriminant analysis of i-vector posterior distributions

2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013, p.7644-7648

2013

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IEEE_Xplore

Full-covariance UBM and heavy-tailed PLDA in i-vector speaker verification

2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011, p.4828-4831

2011

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IEEE_Xplore

Analysis of DNN Speech Signal Enhancement for Robust Speaker Recognition

Computer speech & language, 2019-11, Vol.58, p.403-421

2019

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Pairwise Discriminative Speaker Verification in the I-Vector Space

IEEE transactions on audio, speech, and language processing, 2013-06, Vol.21 (5-6), p.1217-1227

2013

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On the use of deep feedforward neural networks for automatic language identification

Computer speech & language, 2016-11, Vol.40, p.46-59

2016

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End-to-End DNN Based Speaker Recognition Inspired by I-Vector and PLDA

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018, p.4874-4878

2018

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IEEE_Xplore

Independent component analysis and MLLR transforms for speaker identification

2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012, p.4365-4368

2012

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IEEE_Xplore

Speaker Verification Using End-to-end Adversarial Language Adaptation

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, p.6006-6010

2019

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IEEE_Xplore

Investigation of Specaugment for Deep Speaker Embedding Learning

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, p.7139-7143

2020

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IEEE_Xplore

Analysis of DNN approaches to speaker identification

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016, p.5100-5104

2016

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IEEE_Xplore

Discriminatively Re-trained I-vector Extractor for Speaker Recognition

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, p.6031-6035

2019

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IEEE_Xplore

Learning Document Embeddings Along With Their Uncertainties

IEEE/ACM transactions on audio, speech, and language processing, 2020, Vol.28, p.2319-2332

2020

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IEEE_Xplore

Multi-Channel Speaker Verification with Conv-Tasnet Based Beamformer

ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022, p.7982-7986

2022

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IEEE_Xplore

But System for the Second Dihard Speech Diarization Challenge

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, p.6529-6533

2020

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IEEE_Xplore

DNN Based Embeddings for Language Recognition

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018, p.5184-5188

2018

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IEEE_Xplore

Acquisition of Telephone Data from Radio Broadcasts with Applications to Language Recognition

Text, Speech and Dialogue, p.477-483

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On the use of i-vector posterior distributions in probabilistic linear discriminant analysis

Automatic language identification using deep neural networks

Audio enhancing with DNN autoencoder for speaker recognition

Multilingually trained bottleneck features in spoken language recognition

End-to-end DNN based text-independent speaker recognition for long and short utterances

Discriminatively trained Probabilistic Linear Discriminant Analysis for speaker verification

Multisv: Dataset for Far-Field Multi-Channel Speaker Verification

13 years of speaker recognition research at BUT, with longitudinal analysis of NIST SRE

Parameter-Efficient Transfer Learning of Pre-Trained Transformer Models for Speaker Verification Using Adapters

Probabilistic linear discriminant analysis of i-vector posterior distributions

Full-covariance UBM and heavy-tailed PLDA in i-vector speaker verification

Analysis of DNN Speech Signal Enhancement for Robust Speaker Recognition

Pairwise Discriminative Speaker Verification in the I-Vector Space

On the use of deep feedforward neural networks for automatic language identification

End-to-End DNN Based Speaker Recognition Inspired by I-Vector and PLDA

Independent component analysis and MLLR transforms for speaker identification

Speaker Verification Using End-to-end Adversarial Language Adaptation

Investigation of Specaugment for Deep Speaker Embedding Learning

Analysis of DNN approaches to speaker identification

Discriminatively Re-trained I-vector Extractor for Speaker Recognition

Learning Document Embeddings Along With Their Uncertainties

Multi-Channel Speaker Verification with Conv-Tasnet Based Beamformer

But System for the Second Dihard Speech Diarization Challenge

DNN Based Embeddings for Language Recognition

Acquisition of Telephone Data from Radio Broadcasts with Applications to Language Recognition

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