---
datasets:
- facebook/multilingual_librispeech
- yangwang825/audioset
metrics:
- accuracy
pipeline_tag: audio-classification
---
# SSAMBA: Self-Supervised Audio Mamba

[![arXiv](https://img.shields.io/badge/arXiv-2405.11831-b31b1b.svg)](https://arxiv.org/abs/2405.11831)

## 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

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license: bsd-3-clause-clear
---