Discover Inspirational Insights in Motivational Sports Speeches Using Speech-to-Text
summary
Builds a Python pipeline that uploads audio to Python + Deepgram speech-to-text, runs summarization, topic detection, sentiment analysis, profanity filtering, diarization and search, and outputs JSON and pandas-ready tables. It transcribes five motivational sports speeches, computes sentiment counts (example: Serena Williams ~44.4% positive, Kobe ~20.6% positive, others ~22–28%), and produces topic lists and word clouds. The system ranks which clips feel most uplifting, and the pipeline demonstrably works end to end.
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chapters (13)
- 0:00Transcribing motivational sports speeches
- 4:17Why I chose this topic
- 10:39Daryl Green’s Hall of Fame speech
- 14:39Kobe Bryant’s motivational speech
- 17:14Serena Williams’ inspirational talk
- 19:04Al Pacino’s inch-by-inch speech
- 20:30Jimmy Valvano’s cancer speech
- 22:41Sentiment analysis of speeches
- 26:44Profanity filter in transcription
- 28:27Keyword search in speeches
- 29:51Rudy’s impact on my team
- 30:57Deepgram’s tools and credits
- 31:44Q&A
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