MSRANet: Learning discriminative embeddings for speaker verification via channel and spatial attention mechanism in alterable scenarios
Speaker embeddings have become the most popular feature representation in speaker
verification. Improving the robustness of speaker embedding extraction systems is a crucial …
verification. Improving the robustness of speaker embedding extraction systems is a crucial …
Short-segment speaker verification using ecapa-tdnn with multi-resolution encoder
Time-domain approaches have shown the potential to improve the performance of speaker
verification, but still predominant approaches utilize hand-crafted features such as the mel …
verification, but still predominant approaches utilize hand-crafted features such as the mel …
Cam: Context-aware masking for robust speaker verification
Performance degradation caused by noise has been a long-standing challenge for speaker
verification. Previous methods usually involve applying a denoising transformation to …
verification. Previous methods usually involve applying a denoising transformation to …
Effective preservation of higher-frequency contents in the context of short utterance based children's speaker verification system
S Aziz, S Shahnawazuddin - Applied Acoustics, 2023 - Elsevier
Developing an automatic speaker verification (ASV) system for children is extremely
challenging due to the unavailability of children's speech corpora. The challenges are …
challenging due to the unavailability of children's speech corpora. The challenges are …
A comparison of CQT spectrogram with STFT-based acoustic features in Deep Learning-based synthetic speech detection
P Abdzadeh, H Veisi - Journal of AI and Data Mining, 2023 - jad.shahroodut.ac.ir
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 …
Dynamic noise embedding: Noise aware training and adaptation for speech enhancement
Estimating noise information exactly is crucial for noise aware training in speech
applications including speech enhancement (SE) which is our focus in this paper. To …
applications including speech enhancement (SE) which is our focus in this paper. To …
RSKNet-MTSP: Effective and portable deep architecture for speaker verification
Y Wu, C Guo, J Zhao, X Jin, J Xu - Neurocomputing, 2022 - Elsevier
The convolutional neural network (CNN) based approaches have shown great success for
speaker verification (SV) tasks, where modeling long temporal context and reducing …
speaker verification (SV) tasks, where modeling long temporal context and reducing …
A fused speech enhancement framework for robust speaker verification
Y Wu, T Li, J Zhao, Q Wang, J Xu - IEEE Signal Processing …, 2023 - ieeexplore.ieee.org
Robust speaker verification (RSV) under noisy conditions is still a challenging task.
Recently, some task-specific speech enhancement (SE) approaches are proposed and …
Recently, some task-specific speech enhancement (SE) approaches are proposed and …
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 …
FA-ExU-Net: the simultaneous training of an embedding extractor and enhancement model for a speaker verification system robust to short noisy utterances
Speaker verification (SV) technology has the potential to enhance personalization and
security in various applications, such as voice assistants, forensics, and access control …
security in various applications, such as voice assistants, forensics, and access control …