On Training Targets and Activation Functions for Deep Representation Learning in Text-Dependent Speaker Verification
AK Sarkar, ZH Tan - Acoustics, 2023 - mdpi.com
Deep representation learning has gained significant momentum in advancing text-
dependent speaker verification (TD-SV) systems. When designing deep neural networks …
dependent speaker verification (TD-SV) systems. When designing deep neural networks …
A comparison of CQT spectrogram with STFT-based acoustic features in Deep Learning-based synthetic speech detection
Automatic Speaker Verification (ASV) systems have proven to bevulnerable to various types
of presentation attacks, among whichLogical Access attacks are manufactured using …
of presentation attacks, among whichLogical Access attacks are manufactured using …
Vocal tract length perturbation for text-dependent speaker verification with autoregressive prediction coding
ZH Tan - IEEE Signal Processing Letters, 2021 - ieeexplore.ieee.org
In this letter, we propose a vocal tract length (VTL) perturbation method for text-dependent
speaker verification (TD-SV), in which a set of TD-SV systems are trained, one for each VTL …
speaker verification (TD-SV), in which a set of TD-SV systems are trained, one for each VTL …
ASTT: acoustic spatial-temporal transformer for short utterance speaker recognition
Abstract Text-independent Short Utterance Speaker Recognition (SUSR) is of importance for
the purpose of person authentication. However, it is a great challenge for the speaker …
the purpose of person authentication. However, it is a great challenge for the speaker …
Shouted and whispered speech compensation for speaker verification systems
Nowadays, speaker verification systems begin to perform very well under normal speech
conditions due to the plethora of neutrally-phonated speech data available, which are used …
conditions due to the plethora of neutrally-phonated speech data available, which are used …
Self-segmentation of pass-phrase utterances for deep feature learning in text-dependent speaker verification
AK Sarkar, ZH Tan - Computer Speech & Language, 2021 - Elsevier
In this paper, we propose a novel method to segment and label pass-phrase utterances for
training deep neural network (DNN) bottleneck (BN) features for text-dependent speaker …
training deep neural network (DNN) bottleneck (BN) features for text-dependent speaker …
On training targets and activation functions for deep representation learning in text-dependent speaker verification
ZH Tan - arxiv preprint arxiv:2201.06426, 2022 - arxiv.org
Deep representation learning has gained significant momentum in advancing text-
dependent speaker verification (TD-SV) systems. When designing deep neural networks …
dependent speaker verification (TD-SV) systems. When designing deep neural networks …
[PDF][PDF] Advances in Deep Speaker Verification: a study on robustness, portability, and security
X Liu - 2023 - erepo.uef.fi
Automatic speaker verification has numerous studies widely used in applications such as
user authentication, access control, and smart assistants. Empowered by stronger hardware …
user authentication, access control, and smart assistants. Empowered by stronger hardware …
Contributions to speech processing and ambient sound analysis
R Serizel - 2022 - inria.hal.science
We are constantly surrounded by sounds that we continuously exploit to adapt our actions to
situations we are facing. Some of the sounds like speech can have a particular structure …
situations we are facing. Some of the sounds like speech can have a particular structure …