Researchers at Tsinghua University Propose SPMamba: A Novel AI Architecture Rooted in State-Space Models for Enhanced Audio Clarity in Multi-Speaker Environments

Navigating through the intricate landscape of speech separation, researchers have continually sought to refine the clarity and intelligibility of audio in bustling environments. This endeavor has been met with several methodologies, each with strengths and shortcomings. Amidst this pursuit, the emergence of State-Space Models (SSMs) marks a significant stride toward efficacious audio processing, marrying the […]

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