3 papers
eess.AS2026
LALM-as-a-Judge: Benchmarking Large Audio-Language Models for Safety Evaluation in Multi-Turn Spoken Dialogues
Amir Ivry, Shinji Watanabe
Evaluation of socially unsafe content in spoken dialogues remains text-centric, missing prosody and transcription failures. We present LALM-as-a-Judge, which includes an open bench…
eess.AS2026
Task-Aware Answer Preservation under Audio Compression for Large Audio Language Models
Amir Ivry
Large audio language models (LALMs) are increasingly used to reason over long audio clips, yet deployment often compresses audio before inference to reduce memory and latency. The…
eess.AS2026
MAPSS: Manifold-based Assessment of Perceptual Source Separation
Amir Ivry, Samuele Cornell, Shinji Watanabe
Objective assessment of audio source-separation systems still mismatches subjective human perception, especially when interference from competing talkers and distortion of the targ…