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%