Ml Engineering Intern
- 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗔𝗜 𝗥&𝗗 𝗧𝗲𝗮𝗺
- Analyzed 150k audio samples, boosting Bixby’s speaker verification accuracy by 3.5%
- Developed and trained ECAPA and Depthwise CNN models in PyTorch
- Implemented speaker data augmentation, reducing Equal Error Rate(EER) from 11% to 8.6%
- Applied normalization techniques, further reducing EER to 7.5%