Owen Song releases complete local speech synthesis in 9.36M parameters
The self-funded solo developer rebuilt Inflect around a 37.53 MB package, accepting one voice and English-only output to keep inference local.
By Ryan Merket · Published
Primary source: Hugging Face
Why it matters
Inflect packages the complete neural speech path into 37.53 MB, giving local applications a credible voice option while exposing the feature and reproducibility costs of extreme compression.
On July 24th, 2026, Owen Song released Inflect-Micro-v2, a 9,356,513-parameter text-to-speech model that takes English text through to a 24 kHz waveform without a hosted service or separate neural vocoder.
Song describes himself as a solo developer focused on machine learning efficiency. The model card says he built and funded Inflect v2 independently, and no company or outside investors are attached to the project.…
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.