19 citations · 19 across the 3 of their papers we have counts for
3 papers
Learnable Adaptive Time-Frequency Representation via Differentiable Short-Time Fourier Transform
Maxime Leiber, Yosra Marnissi, Axel Barrau +2
The short-time Fourier transform (STFT) is widely used for analyzing non-stationary signals. However, its performance is highly sensitive to its parameters, and manual or heuristic…
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…