What we engineered
Multi-model orchestration, progressive audio generation, pronunciation control, multilingual processing, alignment and automated quality checks.
Internal R&D · active development
AI Publishing & Audio Platform
A multi-stage system for book and audio experiences, combining text generation, translation, pronunciation, speech, verification and delivery.
- 01Book / textSource and generation
- 02LanguageTranslation and pronunciation
- 03SpeechReplaceable TTS engines
- 04VerifyAlignment and audio QA
- 05DeliverVerified audio to the reader
How work moves
Text, translation and audio are separate stages. Accepted artifacts can be reused while a later stage is retried or improved. Workers keep explicit identities and bounded retry paths.
Where judgment matters
Language quality, pronunciation and audio suitability need evaluation for the intended audience. A generated audio file is not automatically a verified delivery artifact.
Current scope
Internal publishing platform in active development. The diagram summarizes its text-to-audio architecture. Availability and integration requirements are assessed for each use case.
Implementation details
- Qwen for structured and long-form generation
- Kokoro / Zonos as replaceable TTS engines
- WhisperX for alignment, timestamps and transcript checks
- AudioGen, FFmpeg and Pydub for audio processing
- Independent workers, immutable work identities and bounded retries
- Progressive audio, caching and multilingual qualification
A useful next step
Bring us the problem.
We build the system.
You do not need a technical specification. Tell us what happens today and what you want to change.