AI Signal

Phonon: keep speaking when the signal drops

Gradium opened Phonon speech models on October 20. The public English model runs locally under Apache 2.0; larger models use noncommercial terms.

· 1:02

Watch on YouTube ↗View on X ↗Watch on TikTok ↗Share episode ↗Machine-readable catalog ↗

Transcript

The original narration, preserved as published. Relative dates refer to the episode’s coverage window.

Why should a reading app stop speaking when your signal drops? Gradium opened its Phonon speech models on October twentieth. They turn text into spoken audio on your device, after the model and a voice have been downloaded.

That means a reading tool or game can keep talking offline. The speech engine does not need to send your text to a cloud server. Other parts of your app may still use the internet.

The public English model has thirty one million parameters, the learned values inside it. Its weights use Apache two point zero. The inference code is available, with routes for browsers, Python and native apps.

The larger models have a catch: their weights use noncommercial terms, with separate commercial licensing. They are gated downloads. The multilingual version covers five languages, while the public smaller model speaks English.

We have not independently tested quality, speed or battery use. Local speech removes a network dependency, not every engineering problem. Watch pronunciation, download size and offline playback on your actual target device before shipping.