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typecast service: - Configured EKS Infra - Developed speech synthesis web service using celery, redis, mongodb and flask - Configured GitOps CI/CD using CircleCI and ArgoCD - Designed/Guided ML Utility package management - Optimized vocoder part using sparse matrix, AVX and C++. Icepeak service: - Developed end-to-end speech synthesis web service using flask/celery - Optimization ene-to-end speech synthesis engine to serve on the web by C++ - Operated speech synthesis service using terraform and swarm cluster Automation tools: - Developed evaluation tool for synthesized audio on Web - Designed automatic training system about end-to-end speech synthesis Darkon: - Implemented Darkon interface to help the people who want to know the blackbox deep learning model
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SVA(snapdragon voice activation) - Led Dwarf framework that execute forward/backward neural network on multi-platform - Tested real time application for CNN model with SNPE on the Android - Implemented LSML to handle SVA model, and train user verification - Implemented demo application on the android and iOS Audio related works - Implemented music detection application on the QDSP, Android. - Implemented specific target sound detection algorithm on Desktop - Combined SVA and Face detection to get higher security protection Internship - Implemented demo application for vision-based algorithm such as text recognition, language recognition, translation.
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