metadata
datasets:
- facebook/multilingual_librispeech
- yangwang825/audioset
metrics:
- accuracy
pipeline_tag: audio-classification
SSAMBA: Self-Supervised Audio Mamba
Introduction
This repository contains the official implementation (in PyTorch) of the the paper SSAMBA: Self-Supervised Audio Representation Learning with Mamba State Space Model. SSAMBA is an advanced audio representation learning model designed to leverage self-supervised learning techniques using the Mamba State Space Model. This project builds on the success of the Self-Supervised Audio Spectrogram Transformer (SSAST) and introduces novel methodologies to further enhance performance and efficiency on various audio tasks.
Github: https://github.com/SiavashShams/ssamba