How I Helped My Daughter Learn to Read with Machine Learning
summary
A parent developed a child-focused web app using machine learning to help kids read aloud by evaluating their pronunciation. Because commercial speech-to-text models perform poorly on children's voices, the project covers dataset creation, model selection/training, and the web technologies used to build real-time syllable-level feedback for words and short phrases.
AI-written summary · about
chapters (6)
- 0:00Start
- 8:24Syllable fusion
- 12:05Machine learning
- 20:17Transfer learning
- 26:54Data preparation
- 28:38Model training
related talks
47mHow I Helped My Daughter Learn to Read with Machine Learning
11mVOICE Summit 2019 | VED Talks | Melissa Hammersley | July 23
36mVoice Enabling Mobile Apps and Custom Hardware Devices
36mLearning about machine learning from kids
31mLearning about AI from kids
01h 03mUsing Machine Learning and AI to serve people and communities
22mBuilding next-gen speech synthesis for Bookmate audiobook service
47mBuilding smarter apps with Machine Learning, from magic to reality
