Inspiration Amazon Alexa claimed to identify user's emotions without their consent to build a profile of their mental health What it does Detect and protect user's sensitive emotional data by removing them from raw signal How I built machine learning by combining two GAN models Challenges I ran into identifying voice features for different emotions from the voice spectrum and hide them Accomplishments that I'm proud of we finished the project. We actually over-delivered in such a short time, and we got new ideas for future What I learned brainstorming, teamwork, and perseverance, and work under pressure are keys to success in a successful project. What's next for Person Identification, Emotion Detection, and Hiding by Voice: We would like to build a configurable framework for end-users. We also want to add other voice-related features so users can use voice assistants and other voice user interfaces with peace in mind that their privacy is preserved.
Built With
- python
- pytoch
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