Data and voice

Release scope

Inflect v2 is a fixed-voice English text-to-speech release. It is not a zero-shot voice-cloning model and does not accept reference audio at inference.

Training-data summary

The release contains one fixed synthetic English voice. The private corpus-construction and optimization recipe is not distributed. The inference package does not require reference audio or call any external speech model.

The corpus was filtered for transcript consistency, duration, clipping, and other audio-quality failures before model training. Frozen unseen-text prompts were excluded from training and are included with the final evaluation artifacts.

Voice status

The packaged voice is a synthetic model voice. This repository does not redistribute a real-speaker recording corpus and does not claim that the output is the identity of a real person. Users must not present generated speech as a real person's recording.

Expected biases

English normalization and phonemization are optimized for general North American English.
Proper names, uncommon locations, abbreviations, homographs, and code-switched text may be mispronounced.
A fixed synthetic training voice can carry narrow rhythm, prosody, spectral, and pronunciation biases.
The single-speaker design does not represent demographic or accent diversity.

What is not disclosed

The private corpus prompts, generation configuration, sampling curriculum, filtering thresholds, and optimization schedule are not part of this open-weight release. Their absence does not change the deployable parameter count: all inference-time components and weights are included.