Results 1 to 10 of about 3,069 (260)
Bidirectional Attention for Text-Dependent Speaker Verification [PDF]
Sensors, 2020 Automatic speaker verification provides a flexible and effective way for biometric authentication. Previous deep learning-based methods have demonstrated promising results, whereas a few problems still require better solutions.
Xin Fang +3 more
doaj +7 more sources
A Survey on Text-Dependent and Text-Independent Speaker Verification
IEEE Access, 2022 Speaker verification (SV) aims to detect an individual’s identity from his/her voice. SV has been successfully applied in various areas such as access control, remote service customization, financial transactions, etc.
Youzhi Tu, Weiwei Lin, Man-Wai Mak
doaj +4 more sources
Template-matching for text-dependent speaker verification [PDF]
Speech Communication, 2017 In the last decade, i-vector and Joint Factor Analysis (JFA) approaches to speaker modeling have become ubiquitous in the area of automatic speaker recognition. Both of these techniques involve the computation of posterior probabilities, using either Gaussian Mixture Models (GMM) or Deep Neural Networks (DNN), as a prior step to estimating i-vectors or
Petr Motlíček +2 more
exaly +5 more sources
Supervector Extraction for Encoding Speaker and Phrase Information with Neural Networks for Text-Dependent Speaker Verification [PDF]
Applied Sciences, 2019 In this paper, we propose a new differentiable neural network with an alignment mechanism for text-dependent speaker verification. Unlike previous works, we do not extract the embedding of an utterance from the global average pooling of the temporal ...
Victoria Mingote +3 more
doaj +5 more sources
A Simple Distortion-Free Method to Handle Variable Length Sequences for Recurrent Neural Networks in Text Dependent Speaker Verification [PDF]
Applied Sciences, 2020 Recurrent neural networks (RNNs) can model the time-dependency of time-series data. It has also been widely used in text-dependent speaker verification to extract speaker-and-phrase-discriminant embeddings. As with other neural networks, RNNs are trained
Sung-Hyun Yoon, Ha-Jin Yu
doaj +4 more sources
Imposture classification for text-dependent speaker verification [PDF]
2014 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
core +11 more sources
Addressing Text-Dependent Speaker Verification Using Singing Speech [PDF]
Applied 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]
Interspeech 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 +3 more sources
Text dependent speaker verification using binary classifiers [PDF]
Proceedings 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 +4 more sources
Sub-band based text-dependent speaker verification [PDF]
Speech Communication, 2003 Original article can be found at: http://www.sciencedirect.com/science/journal/01676393 --Copyright Elsevier B.V.
P. Sivakumaran +2 more
openaire +4 more sources