3 papers
eess.AS2023
Improving Transformer-based End-to-End Speaker Diarization by Assigning Auxiliary Losses to Attention Heads
Ye-Rin Jeoung, Joon-Young Yang, Jeong-Hwan Choi +1
Transformer-based end-to-end neural speaker diarization (EEND) models utilize the multi-head self-attention (SA) mechanism to enable accurate speaker label prediction in overlapped…
eess.AS2021
Task-specific Optimization of Virtual Channel Linear Prediction-based Speech Dereverberation Front-End for Far-Field Speaker Verification
Joon-Young Yang, Joon-Hyuk Chang
Developing a single-microphone speech denoising or dereverberation front-end for robust automatic speaker verification (ASV) in noisy far-field speaking scenarios is challenging. T…
cs.CL2016
Ensemble of Jointly Trained Deep Neural Network-Based Acoustic Models for Reverberant Speech Recognition
Jeehye Lee, Myungin Lee, Joon-Hyuk Chang
Distant speech recognition is a challenge, particularly due to the corruption of speech signals by reverberation caused by large distances between the speaker and microphone. In or…