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Continuous latent space models can dramatically outperform discrete token approaches in speech enhancement, achieving state-of-the-art results in robustness and quality.
The SFF-based narrowband DoA estimator not only mitigates spatial aliasing but also outperforms leading broadband methods in challenging acoustic environments.
