This study aims to develop a single integrated spoofing-aware speaker
ve...
We address speaker-aware anti-spoofing, where prior knowledge of the tar...
Deep speaker models yield low error rates in speaker verification.
Nonet...
Benchmarking initiatives support the meaningful comparison of competing
...
Speaker recognition on household devices, such as smart speakers, featur...
Deep learning has brought impressive progress in the study of both autom...
In this paper, we initiate the concern of enhancing the spoofing robustn...
In this study, we focus on nonlinear compression methods in spectral fea...
Multi-taper estimators provide low-variance power spectrum estimates tha...
After their introduction to robust speech recognition, power normalized
...
We address far-field speaker verification with deep neural network (DNN)...
ASVspoof 2021 is the forth edition in the series of bi-annual challenges...
The automatic speaker verification spoofing and countermeasures (ASVspoo...
For many decades, research in speech technologies has focused upon impro...
We propose a learnable mel-frequency cepstral coefficient (MFCC) fronten...
Modern automatic speaker verification relies largely on deep neural netw...
In this work, we present the system description of the UIAI entry for th...
AISHELL-1 is by far the largest open-source speech corpus available for
...