Inspiration
What it does
Analysis of commentator audio to find highlights in a game
How we built it
We use the Symbl.ai's API to convert speech to text of a sports event's audio, and process that text.
Then we use NLP to find the tone of a certain phrase and find the respective phrase's timestamp.
For finding the highlight moments we focus on matching phrases with a "surprise" emotion factor in them.
Challenges we ran into
Getting the timestamp from the API response. We finally accomplished this by using the beta version of the API.
Accomplishments that we're proud of
What we learned
What's next for Sports highlight generation
Built With
- python
- symbl.ai
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