Results 21 to 30 of about 11,913 (306)

Efficient Invariant Features for Sensor Variability Compensation in Speaker Recognition [PDF]

, 2014
In this paper, we investigate the use of invariant features for speaker recognition. Owing to their characteristics, these features are introduced to cope with the difficult and challenging problem of sensor variability and the source of performance ...
Abderrezak Guessoum, Abdennour Alimohad, Bouridane, Ahmed, Guessoum, Abderrezak, Ahmed Bouridane, Alimohad, Abdennour   +5 more
core   +1 more source

Leveraging deep speaker embedding variability factors for verification and diarization [PDF]

, 2023
The tasks of speaker verification (SV, determining whether a test utterance has the same speaker as an enrolment utterance) and speaker diarization (SD, determining ‘who spoke when?’) both fall under the umbrella of speaker recognition tasks.
Luu, Chau Van Quy
core   +1 more source

Analysis-Based Optimization of Temporal Dynamic Convolutional Neural Network for Text-Independent Speaker Verification

IEEE Access, 2023
Temporal dynamic convolution neural networks (TDY-CNNs) extract speaker embeddings considering the time-varying characteristics of speech and improve text-independent speaker verification performance.
Seong-Hu Kim, Hyeonuk Nam, Yong-Hwa Park
doaj   +1 more source

SpeakerNet for Cross-lingual Text-Independent Speaker Verification

Archives of Acoustics, 2020
Biometrics provide an alternative to passwords and pins for authentication. The emergence of machine learning algorithms provides an easy and economical solution to authentication problems.
Hafsa HABIB, Huma TAUSEEF, Muhammad Abuzar FAHIEM, Saima FARHAN, Ghousia USMAN   +4 more
doaj   +1 more source

A Tutorial on Text-Independent Speaker Verification

EURASIP Journal on Advances in Signal Processing, 2004
This paper presents an overview of a state-of-the-art text-independent speaker verification system. First, an introduction proposes a modular scheme of the training and test phases of a speaker verification system.
Frédéric Bimbot, Jean-François Bonastre, Corinne Fredouille, Guillaume Gravier, Ivan Magrin-Chagnolleau, Sylvain Meignier, Teva Merlin, Javier Ortega-García, Dijana Petrovska-Delacrétaz, Douglas A. Reynolds   +9 more
doaj   +1 more source

Defending against FakeBob Adversarial Attacks in Speaker Verification Systems with Noise-Adding

Algorithms, 2022
Speaker verification systems use human voices as an important biometric to identify legitimate users, thus adding a security layer to voice-controlled Internet-of-things smart homes against illegal access.
Zesheng Chen, Li-Chi Chang, Chao Chen, Guoping Wang, Zhuming Bi   +4 more
doaj   +1 more source

SPEAKER VERIFICATION

Speech and Hearing
identifier:oai:t2r2.star.titech.ac.jp ...
MJ CAREY, E PARRIS, SJ BENNETT
  +5 more sources

Speaker Verification Based on Single Channel Speech Separation

IEEE Access, 2023
In multi-speaker scenarios, speech processing tasks like speaker identification and speech recognition are susceptible to noise and overlapped voices.
Rong Jin, Mijit Ablimit, Askar Hamdulla
doaj   +1 more source

Rep Works in Speaker Verification

CoRR, 2021
submitted to ICASSP ...
Yufeng Ma, Miao Zhao, Yiwei Ding, Yu Zheng 0020, Min Liu, Minqiang Xu   +5 more
openaire   +2 more sources

Disentangled Speaker and Nuisance Attribute Embedding for Robust Speaker Verification

IEEE Access, 2020
Over the recent years, various deep learning-based embedding methods have been proposed and have shown impressive performance in speaker verification. However, as in most of the classical embedding techniques, the deep learning-based methods are known to
Woo Hyun Kang, Sung Hwan Mun, Min Hyun Han, Nam Soo Kim   +3 more
doaj   +1 more source