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Qualcomm Taiwan AI研習 結業證明

Qualcomm Taiwan

Master of Communication Engineering
Major subject: Digital Signal Processing

Thesis : CRNN-Based Enhancement of Noisy Speech for Text-to-Speech Corpus

Relative Coursework: Digital Signal Processing, Information Theory, Queueing Theory, Coding Theory, Data Mining, Machine Learning

國立臺北大學 National Taipei University

Software Firmware Engineer

Cheng-Che (Eric) Kao

GiantPlus Technology Co., Ltd

◎ Cypress FX3/FX2LP firmware (MCU, I2C, SPI, GPIO)

◎ NXP iMX RT1160 Arm Cortex-m7 firmware(RTOS)

◎ Software Project(C#, OpenCvSharp)
Internal Testing Platform maintain and Develop(WPF)
DisplayPort to MIPI Bridge IC Control SDK
Local Dimming Algorithm

台灣桃園市

◎ DeepLearning (C, C++, python, pyTorch, Linux)
Speech Enhancement System based on Convolution Recurrent Neural Network 

◎ DevOps(Linux, Apache, php, html)
Official website Setup

◎ Project Experience (manage 3 people team)
MOST Project (MOST-109-3011-F-011-001-):
Text-to-Speech System Buildup for ALS (Revoice Project)

Project Related URLs:
https://www.youtube.com/watch?v=MJglJMOvkVI&t=72s

Cheng-Che (Eric) Kao’s posts