C-Sung

C. Sung

A software engineer who is dedicated to learning new technology and educating.

Experience

Official

➤三竹資訊雲端服務事業群核心技術部 Backend developing
➤臺北市立松山高級工業農業職業學校資訊科 Java開發課程指導老師
➤國立臺南大學資訊工程系普通物理學助教
➤國立臺南大學資訊工程系普通物理學實驗助教
➤國立臺南大學資訊工程系數位電路設計助教
➤國立臺南大學資訊工程系數位電路實驗助教
➤國立臺南大學資訊工程系數位系統助教
➤國立臺南大學資訊工程系數位系統實驗助教
➤國立臺南大學資訊工程系機器人思維與設計助教
➤國立臺南大學資訊工程系數值方法助教
➤國立臺南大學資訊工程系多媒體系統助教
➤國立臺南大學資訊工程系電子自動化設計助教
➤國立臺南大學智慧製造學程電腦輔助設計與製造助教
➤國立臺南大學資訊工程系資訊科學服務社社長
➤國立臺南大學資訊工程系系辦人員
➤國立臺南大學資訊工程系專題競賽第一名
➤國立臺南大學理工學院專題競賽特別獎

Others

➤後端開發（API）經驗 15+ 系統開發
➤Arduino / Respberry PI / FPGA開發
➤全端工程師／專案經理（商業個人接案）
➤臺北市立松山高級工業農業職業學校電機科演講
➤國立高雄科技大學資訊研究社演講

Project

Japanese Music Recommender System Based on Music Feature Extraction and Lyrics Sentimental Analyzation

Nowadays, people are able to find a song which they want to listen to through search engines of streaming media platforms. Currently, most of the systems of streaming media platforms are based on Collaborative-Filtering. Therefore, the song recommended to users might be completely different from the one that the user is looking for. To recruit the target more precisely, we developed a recommender system based on Content-Based-Filtering, which analyzes the audio features and sentiments of lyrics.

Keywords

➤Recommender System
➤Audio Feature Extraction
➤Natural Language Processing
➤Sentimental Analyze

Interests & Skills

➤Natural Language Progressing, NLP
➤形態素解析
➤Audio Feature Extraction
➤Sentimental Analyze
➤Full-stack Engineering
➤Server Management
➤Networking
➤RDB(MySQL, PostgreSQL ... etc)
➤Hadoop HBase
➤Digital Signal Processing, DSP
➤Big Data Analysis, BDA
➤HDL(VHDL, Verilog)
➤Internet of Things, IoT
➤Artificial Intelligence(CNN, DNN, GAI, LLM ... etc)
➤Automatic Speech Recognition, ASR
➤Speech To Text, STT