AI SystemsProduction Engineering Case Study
Bilingual Neural Audiobook & Socratic Reader
Multi-Language Speechify-Style Knowledge Engine with Active Recall
Web Audio APIEdge-TTSPythonTailwind CSSSocratic Sparring
Retention Boost
10% ➔ 80%
Languages
EN & ZH
Audio Streaming
Zero-CORS
Hosting Cost
$0
1. Problem Statement & Business Objective
Knowledge workers face extreme screen fatigue and busy commute schedules. Reading dense 400-page English or Chinese books is physically exhausting, while standard audiobooks lead to passive listening where 90% of content is immediately forgotten.
Phase-by-Phase Engineering Lifecycle
1
Phase 1: Neural Synthesis & Media Pipeline
PythonEdge-TTSffmpegGitHub Raw CDN
Objective: Automate chapter extraction from EPUB/Markdown and synthesize natural voice streams.
Key Deliverables & Implementations
- Built batch conversion pipeline generating naturalistic speech models (en-US-ChristopherNeural & zh-CN-YunxiNeural).
- Engineered byte-range compatible media streaming hosted on GitHub.
2
Phase 2: Socratic Sparring Web Interface
Web Audio APITailwind CSSJavaScript
Objective: Combine fluid audio playback with active cognitive retrieval challenges.
Key Deliverables & Implementations
- Designed glassmorphic dual-language player with variable speed controls (0.8x-2.0x).
- Integrated Socratic question drawers to force active cognitive recall after every chapter.
Quantifiable Impact & Verified Outcomes
- Eliminated screen fatigue by converting dense books into human-like audio streams.
- Increased knowledge retention by pairing auditory immersion with instant Socratic recall tests.