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Loud and Clear: Dynamic Activation Steering for Improving Speech Intelligibility in Noisy Environments
Speech becomes less intelligible in noisy environments, and humans naturally adapt their voice to compensate. Inspired by this behavior, we investigate whether a text-to-speech (TTS) model can be guided to produce more intelligible speech using activation steering, without retraining. We focus on tw
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