19 citations · 19 across the 3 of their papers we have counts for
3 papers
Differentiable short-time Fourier transform with respect to the hop length
Maxime Leiber, Yosra Marnissi, Axel Barrau +1
In this paper, we propose a differentiable version of the short-time Fourier transform (STFT) that allows for gradient-based optimization of the hop length or the frame temporal po…
Differentiable adaptive short-time Fourier transform with respect to the window length
Maxime Leiber, Yosra Marnissi, Axel Barrau +1
This paper presents a gradient-based method for on-the-fly optimization for both per-frame and per-frequency window length of the short-time Fourier transform (STFT), related to pr…
A differentiable short-time Fourier transform with respect to the window length
Maxime Leiber, Axel Barrau, Yosra Marnissi +1
In this paper, we revisit the use of spectrograms in neural networks, by making the window length a continuous parameter optimizable by gradient descent instead of an empirically t…