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Turns out your always-on speech dialogue model is leaking speaker identity like a sieve, but a simple feature-domain anonymization technique can boost privacy by 3.5x with minimal impact on performance.
Ditch the training data: this intelligibility-guided approach fuses noisy and enhanced speech for robust ASR without needing a separate neural predictor.
Agent systems leveraging iterative tool orchestration and cross-modal analysis significantly outperform single models in audio reasoning, highlighting a promising path toward explainable audio intelligence.
