21 citations · 66 across the 43 of their papers we have counts for
4 papers · 1 filter
SSVD-O: Parameter-Efficient Fine-Tuning with Structured SVD for Speech Recognition
Pu Wang, Shinji Watanabe, Hugo Van hamme
Parameter-efficient fine-tuning (PEFT) is a scalable approach for adapting large speech foundation models to new domains. While methods such as LoRA and its state-of-the-art varian…
A Multi-Resolution Front-End for End-to-End Speech Anti-Spoofing
Wei Liu, Meng Sun, Xiongwei Zhang +2
The choice of an optimal time-frequency resolution is usually a difficult but important step in tasks involving speech signal classification, e.g., speech anti-spoofing. The variat…
Improving Source Separation via Multi-Speaker Representations
Jeroen Zegers, Hugo Van hamme
Lately there have been novel developments in deep learning towards solving the cocktail party problem. Initial results are very promising and allow for more research in the domain.…
Joint Sound Source Separation and Speaker Recognition
Jeroen Zegers, Hugo Van hamme
Non-negative Matrix Factorization (NMF) has already been applied to learn speaker characterizations from single or non-simultaneous speech for speaker recognition applications. It…