most citedA Neural State-Space Model Approach to Efficient Speech Separation

1 citations · 1 across the 2 of their papers we have counts for

collaborators
Showing eess.ASShow all

1 paper · 1 filter

eess.AS2023

A Multi-dimensional Deep Structured State Space Approach to Speech Enhancement Using Small-footprint Models

Pin-Jui Ku, Chao-Han Huck Yang, Sabato Marco Siniscalchi +1

We propose a multi-dimensional structured state space (S4) approach to speech enhancement. To better capture the spectral dependencies across the frequency axis, we focus on modify…