1 citations · 1 across the 4 of their papers we have counts for
5 papers
AFA-Net: A Differential Attention Approach for Auditory Attention Detection
Philip H. Lee, Shreeram Suresh Chandra, Karan Thakkar +1
Auditory Attention Detection (AAD) utilizes electroencephalographic (EEG) signals to identify a target speaker in a multi-speaker environment. Despite considerable progress, existi…
Advancing Speaker-Based Vocal Effort Classification with WavLM and Data Augmentation in Naturalistic Non-Calibrated Speech Recordings
Zahra Omidi, John H. L. Hansen
The variations in vocal effort range (e.g. whisper, soft, neutral, loud, shout) alter production and speech acoustics, reducing intelligibility and limiting the robustness of any s…
DiffAttack: Diffusion-based Timbre-reserved Adversarial Attack in Speaker Identification
Qing Wang, Jixun Yao, Zhaokai Sun +3
Being a form of biometric identification, the security of the speaker identification (SID) system is of utmost importance. To better understand the robustness of SID systems, we ai…
Efficient Adapter Tuning of Pre-trained Speech Models for Automatic Speaker Verification
Mufan Sang, John H. L. Hansen
With excellent generalization ability, self-supervised speech models have shown impressive performance on various downstream speech tasks in the pre-training and fine-tuning paradi…
Speaker conditioning of acoustic models using affine transformation for multi-speaker speech recognition
Midia Yousefi, John H. L. Hanse
This study addresses the problem of single-channel Automatic Speech Recognition of a target speaker within an overlap speech scenario. In the proposed method, the hidden representa…