AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work systematically assess the opportunities and limits of pseudo-labeling to adapt foundation ASR models (Whisper and Qwen3-ASR) to noisy BPC domain corpora from Baltimore and Chicago and introduces a new cross-model pseudo-labeling paradigm where one model is finetuned with pseudo-labels from the other.
A scalable framework that identifies text-biased surface interpretations and converts disagreement regions into conflict QA examples and develops an agentic-style reasoning framework that converts speech into an Audio Twin, a text-readable representation of localized acoustic cues that exposes acoustic evidence to the...
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