DMEL: The Differentiable Log-Mel Spectrogram as a Trainable Layer in Neural Networks-Reference-Cited by-同舟云学术

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DMEL: The Differentiable Log-Mel Spectrogram as a Trainable Layer in Neural Networks

Published:2024-04-14 Issue: Volume: Page:5005-5009
ISSN:
Container-title:ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Martinsson John¹,Sandsten Maria¹

Affiliation:

1. Lund University,Centre for Mathematical Sciences,Lund,Sweden

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10445798/10445803/10446816.pdf?arnumber=10446816

Reference17 articles.

1. Auditory toolbox;Slaney;Tech. Rep., Interval Research Corporation,1998

2. Optimizing Short-Time Fourier Transform Parameters via Gradient Descent

3. A differentiable short-time Fourier transform with respect to the window length

4. Differentiable Adaptive Short-Time Fourier Transform with Respect to the Window Length

5. Learning Filterbanks from Raw Speech for Phone Recognition

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