arxiv
PublishedSeptember 10, 2026 at 4:00 AM
Scaling Audio Models Efficiently: A Joint Study of Compute Constraints and Optimization Behavior
Publisher summary· verbatim
arXiv:2606.22790v3 Announce Type: replace-cross Abstract: Large automatic speech recognition (ASR) models such as Whisper must be deployed across hardware with widely varying memory and inference-speed constraints. We present a compression framework that jointly parametrizes Whisper deployment along
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Originally published on arxiv ↗