Native audio models process or generate acoustic representations directly, preserving timing, tone, speaker cues, and other information that a text transcript discards. This guide explains the mechanism, trade-offs, evaluation, and controls that matter in practice.
Read the original at Unite.AI: What Are Native Audio Models? How Speech-to-Speech AI Skips Transcription
How OpenSmartRoute helps
Stories like this are why the router checks a request before it leaves. The input guard spots prompt injection and personal data. A hard rule can keep that text on an on-premises model, inside a region or under a cost cap, whatever the prompt asks for.
For a team that routes through the router, a release like this is one catalogue entry. The new model competes on the next request against what the team already runs, on quality, cost and speed. If it answers well it earns more traffic; if it fails it gets less, with no code change in the app.
Source: https://www.unite.ai/what-are-native-audio-models-how-speech-to-speech-ai-skips-transcription/