all AI news
[R] Introducing SSAMBA: The Self-Supervised Audio Mamba!
May 23, 2024, 7:53 p.m. | /u/attentionisallyounee
Machine Learning www.reddit.com
Tired of transformers? Is attention really all you need? Meet SSAMBA (Self-Supervised Audio Mamba)! đâ¨
This attention-free, purely state-space model (SSM)-based, self-supervised marvel doesnât just hissâit roars! SSAMBA achieves better or similar performance to its transformer-based counterparts (SSAST) on tasks like speaker identification, keyword spotting, and audio classification. But here's the kicker: itâs much more GPU memory efficient and quicker at inference, especially with longer audio lengths.
Curious? Check out the full paper here: [SSAMBA on arXiv](https://arxiv.org/abs/2405.11831)
Thanks âŚ
attention audio classification free hey identification machinelearning mamba marvel performance reddit space speaker speaker identification ssm state tasks transformer transformers
More from www.reddit.com / Machine Learning
Jobs in AI, ML, Big Data
Senior Data Engineer
@ Displate | Warsaw
Junior Data Analyst - ESG Data
@ Institutional Shareholder Services | Mumbai
Intern Data Driven Development in Sensor Fusion for Autonomous Driving (f/m/x)
@ BMW Group | Munich, DE
Senior MLOps Engineer, Machine Learning Platform
@ GetYourGuide | Berlin
Data Engineer, Analytics
@ Meta | Menlo Park, CA
Data Engineer
@ Meta | Menlo Park, CA