
Overview
What we did
- Leveraged a combination of Google Speech to Text API and Tensorflow to build a gameplay transcription and toxicity detection prototype
- Optimized recognition of gaming slang
- Leveraged transfer learning on the publicly available toxicity content and gaming slang
Technologies used
- Google Cloud Platform
- Google Text to Speech API
- Google Cloud Storage
- Google Kubernetes Engine
- Google Cloud Memorystore
- Google StackDriver
- TensorFlow
Key Outcomes
The company can now expand its natural language toxicity detection capabilities into audio gameplay conversations.

Built a solution to evaluate the transcribed results against in-house data to assess the sentiment
Increased accuracy of toxicity sentiments by aggregating several transcriptions of lower accuracy using different recognition engines
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