Results 11 to 20 of about 43,481,631 (253)

Addressing Text-Dependent Speaker Verification Using Singing Speech

open access: yesApplied Sciences, 2019
The automatic speaker verification (ASV) has achieved significant progress in recent years. However, it is still very challenging to generalize the ASV technologies to new, unknown and spoofing conditions.
Yan Shi   +4 more
doaj   +2 more sources

Speaker-Dependent Dictionary-Based Speech Enhancement for Text-Dependent Speaker Verification [PDF]

open access: yesInterspeech 2016, 2016
The problem of text-dependent speaker verification under noisy conditions is becoming ever more relevant, due to increasedusage for authentication in real-world applications. Classical methods for noise reduction such as spectral subtraction and Wiener filtering introduce distortion and do not perform well inthis setting.In this work we compare the ...
Nicolai Bæk Thomsen   +4 more
openaire   +2 more sources

Imposture classification for text-dependent speaker verification [PDF]

open access: yes2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014
This work focuses on text-dependent speaker verification, where a user is required to chose and pronounce a customized pass-phrase to get authenticated. In this context, there are three types of impos-tures: an impostor pronouncing the correct pass-phrase, an impostor pronouncing a wrong pass-phrase and the most difficult one: an impostor playing back ...
Anthony Larcher   +3 more
openaire   +7 more sources

Data Augmentation Enhanced Speaker Enrollment for Text-dependent Speaker Verification [PDF]

open access: yes2020 3rd International Conference on Energy, Power and Environment: Towards Clean Energy Technologies, 2021
Data augmentation is commonly used for generating additional data from the available training data to achieve a robust estimation of the parameters of complex models like the one for speaker verification (SV), especially for under-resourced applications.
Achintya Kumar Sarkar   +3 more
openaire   +2 more sources

Multibiometric security in wireless communication systems [PDF]

open access: yes, 2010
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University, 05/08/2010.This thesis has aimed to explore an application of Multibiometrics to secured wireless communications.
Sepasian, Mojtaba
core   +6 more sources

Exploiting sequence information for text-dependent Speaker Verification [PDF]

open access: yes2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017
Model-based approaches to Speaker Verification (SV), such as Joint Factor Analysis (JFA), i-vector and relevance Maximum-a-Posteriori (MAP), have shown to provide state-of-the-art performance for text-dependent systems with fixed phrases. The performance of i-vector and JFA models has been further enhanced by estimating posteriors from Deep Neural ...
Subhadeep Dey   +3 more
openaire   +2 more sources

Short-time speaker verification with different speaking style utterances.

open access: yesPLoS ONE, 2020
In recent years, great progress has been made in the technical aspects of automatic speaker verification (ASV). However, the promotion of ASV technology is still a very challenging issue, because most technologies are still very sensitive to new, unknown
Hongwei Mao   +5 more
doaj   +1 more source

On Residual CNN in Text-Dependent Speaker Verification Task [PDF]

open access: yes, 2017
Deep learning approaches are still not very common in the speaker verification field. We investigate the possibility of using deep residual convolutional neural network with spectrograms as an input features in the text-dependent speaker verification task.
Egor Malykh   +2 more
openaire   +3 more sources

Text dependent speaker verification using binary classifiers [PDF]

open access: yesProceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181), 2002
This paper describes how a speaker verification task can be advantageously decomposed into a series of binary classification problems, i.e. each problem discriminating between two classes only. Each binary classifier is specific to one speaker, one anti-speaker and one word.
Dominique Genoud   +2 more
openaire   +2 more sources

Attention-Based Models for Text-Dependent Speaker Verification [PDF]

open access: yes2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018
Submitted to ICASSP ...
F. A. Rezaur Rahman Chowdhury   +3 more
openaire   +2 more sources

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