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Add Text-to-Speech (TTS) pipeline #106

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9 changes: 9 additions & 0 deletions README.md
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Expand Up @@ -110,6 +110,15 @@ OATutor can use Firebase to persistently store log data.
3. Centralized skill model - `src/content-sources/*/skillModel.json`
4. Data logging/collection - Based off of the Cognitive Tutor KDD dataset.
5. User login/registration - JSON Web Tokens
6. Text-to-Speech (TTS) for hints, steps, and problem body using SRE-converted text and AWS Lambda (optional)

### \[Optional\] Text-to-Speech (TTS)

TTS uses pre-computed `pacedSpeech` fields (LaTeX → speech via SRE) and an AWS Lambda endpoint for audio.

- **Generate speech text:** `npm run process-tts` (or `process-tts:force` / `process-tts:dry-run`). Writes `pacedSpeech` into hint, step, and problem JSON under `src/content-sources/oatutor/content-pool/`.
- **Lambda:** Set `TTS_API_URL` in `src/config/config.js` to your Lambda Function URL. The frontend sends `{ segments: string[] }` and expects `{ audios: base64[] }`.
- **Frontend:** Problem body, step title/body, and hints use `pacedSpeech` when present; otherwise a basic LaTeX-to-readable fallback is used.

## Technologies Used

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