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[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)! 🐍✨
This attention-free, purely state-space model (SSM)-based, self-supervised marvel doesn’t just hiss—it 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: it’s 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 …
attention audio classification free hey identification machinelearning mamba marvel performance reddit space speaker speaker identification ssm state tasks transformer transformers
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