Search Results for author:
Found 5 papers, 2 papers with code
Focus Your Attention (with Adaptive IIR Filters)
We present a new layer in which dynamic (i. e., input-dependent) Infinite Impulse Response (IIR) filters of order two are used to process the input sequence prior to applying conventional attention.
Ranked #1 on
Language Modelling
on Text8
Separate And Diffuse: Using a Pretrained Diffusion Model for Improving Source Separation
Applying a diffusion model Vocoder that was pretrained to model single-speaker voices on the output of a deterministic separation model leads to state-of-the-art separation results.
Ranked #1 on
Speech Separation
on Libri20Mix
OCD: Learning to Overfit with Conditional Diffusion Models
We present a dynamic model in which the weights are conditioned on an input sample x and are learned to match those that would be obtained by finetuning a base model on x and its label y.
Ranked #1 on
Few-Shot Text Classification
on SST-5
SepIt: Approaching a Single Channel Speech Separation Bound
We present an upper bound for the Single Channel Speech Separation task, which is based on an assumption regarding the nature of short segments of speech.
Ranked #2 on
Speech Separation
on Libri10Mix
HyperHyperNetworks for the Design of Antenna Arrays
Our experiments demonstrate that our approach is able to design novel antennas and antenna arrays that are compliant with the design requirements, considerably better than the baseline methods.
