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Found 7 papers, 6 papers with code
Theano: A Python framework for fast computation of mathematical expressions
Since its introduction, it has been one of the most used CPU and GPU mathematical compilers - especially in the machine learning community - and has shown steady performance improvements.
Deep Learning for Audio Signal Processing
Given the recent surge in developments of deep learning, this article provides a review of the state-of-the-art deep learning techniques for audio signal processing.
Over-Parameterization and Generalization in Audio Classification
Convolutional Neural Networks (CNNs) have been dominating classification tasks in various domains, such as machine vision, machine listening, and natural language processing.
Efficient Training of Audio Transformers with Patchout
However, one of the main shortcomings of transformer models, compared to the well-established CNNs, is the computational complexity.
Ranked #3 on
Audio Classification
on FSD50K
(using extra training data)
EfficientLEAF: A Faster LEarnable Audio Frontend of Questionable Use
In audio classification, differentiable auditory filterbanks with few parameters cover the middle ground between hard-coded spectrograms and raw audio.
Ranked #1 on
Spoken language identification
on VoxForge
Musika! Fast Infinite Waveform Music Generation
We release the source code and pretrained autoencoder weights at github. com/marcoppasini/musika, such that a GAN can be trained on a new music domain with a single GPU in a matter of hours.
Learning General Audio Representations with Large-Scale Training of Patchout Audio Transformers
Furthermore, we will show that transformers trained on Audioset can be extremely effective representation extractors for a wide range of downstream tasks.
