1 citations · 1 across the 3 of their papers we have counts for
3 papers
eess.AS2026
Unmixing The Crowd: Learning Persistent Speaker Representations from Mixture-Derived Multi-Speaker Embeddings
Sidharth Sidharth, Meysam Asgari, Hao-Wen Dong +1
We study whether persistent conversational speaker structure can be extracted directly from local overlapping speech mixtures. We propose a teacher-student framework that learns mi…
cs.CL2021★ 1 cited
Interpreting A Pre-trained Model Is A Key For Model Architecture Optimization: A Case Study On Wav2Vec 2.0
Liu Chen, Meysam Asgari
A deep Transformer model with good evaluation score does not mean each subnetwork (a.k.a transformer block) learns reasonable representation. Diagnosing abnormal representation and…
eess.AS2020
Refining Automatic Speech Recognition System for older adults
Liu Chen, Meysam Asgari
Building a high quality automatic speech recognition (ASR) system with limited training data has been a challenging task particularly for a narrow target population. Open-sourced A…