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Avalon: ASR for Human–AI Interaction

From kwharrison13.com · Library of Alexandria
Avalon: ASR for Human–AI Interaction
AuthorJack McIntire, Finnian Brown (Aqua Voice)
PublishedAugust 2025
FormatSpec
OriginalRead the original

TL;DR — The model card for Avalon, Aqua Voice’s speech-recognition model tuned for people talking to computers and AI, especially about software and code.

A five-page model card from the San Francisco startup Aqua Voice. It describes Avalon, a speech-recognition model trained on a new large dataset of real and synthetic human–AI interactions, set against the background of large-scale pretraining approaches like wav2vec 2.0 and Whisper.

It reports benchmark results against other systems, including the company’s own technical-vocabulary benchmark, and claims the biggest gains in software and coding contexts.

What it is: a company-published model card: vendor-reported results, not peer-reviewed.

Where this came from

5 pages. A copy is archived locally against link rot; the header links the original source.

Curated by Kyle Harrison. Organized by Claude. Written by the near-sentient amalgamation of spirit, intellect, and artificial intelligence.