Author

Abeer Alwan

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#natural language process... Preprint Sep 2026

AURA: Uncertainty-Routed Activation Editing for Acoustic Grounding in Speech Foundation Models

Attention encoder-decoder (AED) Speech Foundation Models achieve strong ASR performance but can generate acoustically unsupported text when inputs contain no speech, weak acoustic evidence, or unreliable transcription. We propose AURA: Activation-editing with Uncertainty-Routed Adaptation, an ultra-efficient representa...

Natarajan Balaji Shankar, Zilai Wang, Zi-Han Wang et al. · 0 citations

#natural language process... Preprint Sep 2026

Encoder Awakening via Adapters: Effective Domain-Adaptive Fine-tuning of Speech-LLMs

Encoder Awakening via Adapters (EAVA), a simple yet effective domain-adaptive fine-tuning method for Speech-LLM-based ASR, consistently outperforms vanilla fine-tuning and other baselines, achieving new state-of-the-art performance.

Mohan Shi, Zilai Wang, Natarajan Balaji Shankar et al. · 0 citations

#machine learning Preprint Sep 2026

Hearing the Whispers: Black-Box Membership Inference Attacks on Finetuned TTS Models

This work presents the first black-box MIA framework explicitly tailored to TTS models at both the speaker and record levels, and characterize the feasible query space and establish two criteria, scorable extent and memorization elicitation, for evaluating five representative queries.

Kun-Lin Cai, Kai-Yuan Zhang, Zihang Xiang et al. · 0 citations