GitHub

audio-spectrogram-transformer

This is the official repository of the papers "Parameter-Efficient Transfer Learning of Audio Spectrogram Transformers" [IEEE MLSP 2024] and "Efficient Fine-tuning of Audio Spectrogram Transformers ...
IEEE

Improving Robustness of Spectrogram Classifiers with Neural Stochastic Differential Equations

Abstract: Signal analysis and classification is fraught with high levels of noise and perturbation. Computer-vision-based deep learning models applied to spectrograms have proven useful in the field ...
IEEE

Audio Sentiment Analysis with Spectrogram Representations and Transformer Models

Abstract: Recent advancements in the domain of computer vision have enabled the analysis of audio spectrograms. In this paper, we present a novel approach that leverages spectrogram representations ...
GitHub

Rushikesh-pawar/Automatic-Music-Transcription

An end-to-end deep learning pipeline for automatic piano transcription using the MAESTRO v3 dataset. Converts raw piano audio into mel spectrograms, trains models to predict 88-key piano rolls, and ...