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Lesson 15: Capstone — Voice Assistant End-to-End

Project summary: Build voice assistant pipeline — ASR + NLU + TTS. Real-time streaming. Multi-language support. Edge deployment.

🧠 AI & ML — Lesson 14 Lesson 15: Capstone — Voice Assistant End-to-End

Speech & Audio AI: Speech & Audio Processing

Part 4: Advanced Audio AI & Production

xdev.asia

Introduction

Capstone project applies all the knowledge learned in the series to a real end-to-end problem.


Project requirements

Description

Project summary: Build voice assistant pipeline — ASR + NLU + TTS. Real-time streaming. Multi-language support. Edge deployment.

Deliverables

ItemDescriptionWeight
CodeClean, documented GitHub repository30%
ReportArchitecture decisions, results analysis30%
DemoInteractive demo (web app or video)20%
DocumentationREADME, API docs, deployment guide20%

Recommended pipeline

  1. Data Collection & Preprocessing: Collect and process data
  2. Model Development: Build and train the model
  3. Evaluation: Evaluation with appropriate metrics
  4. Optimization: Optimize performance and costs
  5. Deployment: Deploy to production
  6. Monitoring: Set up monitoring & alerting

Summary

Congratulations on completing the series! Apply your knowledge to real projects.