Rethinking Mamba in Speech Processing by Self-Supervised Models

Understand

The Mamba-based model has demonstrated outstanding performance across tasks in computer vision, natural language processing, and speech processing.

• However, in the realm of speech processing, the Mamba-based model's performance varies across different tasks.
• For instance, in tasks such as speech enhancement and spectrum reconstruction, the Mamba model performs well when used independently.
• However, for tasks like speech recognition, additional modules are required to surpass the performance of attention-based models.