Making You a Better Speaker with Spring AI
summary
Builds a working speech-coach web app with a React front end and a Spring Boot backend using Java 25, Lombok and Spring Initializr; it transcribes audio via OpenAI Whisper (verbose JSON) to retain filler words, then calls a chat model to produce a JSON analysis with crutch-word counts, timestamps and a fluency score. The demo runs end-to-end, logs transcription metadata, and detects five crutch words in the sample (three “I’m”, two “actually”), proving the approach is practical.
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chapters (10)
- 0:00Introduction
- 2:25Great speaker qualities
- 3:34Filler words problem
- 5:40Speech coach app
- 8:56Transcribing speech with AI
- 12:54Configuring AI for filler words
- 15:24AI speech analysis
- 19:01System prompts for AI
- 20:46Demo results and benefits
- 21:29Key takeaways and closing remarks
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