docs/DATA_AND_VOICE.md

# 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.