← Search

Frédéric Lepoutre

1 accepted papers

2024

Resource-Efficient Separation Transformer

ICASSP 2024accepted

Transformers have recently achieved state-of-the-art performance in speech separation. These models, however, are computationally demanding and require a lot of learnable parameters. This paper explores Transformer-based speech separation with a reduced computational cost. Our main contribution is t…

Cited by 0SourceScholar