This project focuses on developing a state-of-the-art voice spoofing detection system by combining both acoustic and textual features using deep learning techniques. The goal is to enhance security systems by distinguishing between genuine human voices and synthetic, spoofed voices. Participants will gain hands-on experience working with advanced deep learning algorithms, acoustic analysis, and natural language processing.

>> Duration: 2 to 6 months

>> Start Date: Flexible (to be determined based on the selected candidates)

>> Eligibility: The project is open to up to 2 undergraduate students

>> Skills and Knowledge Required: Familiar with Python and deep learning frameworks (e.g., TensorFlow, PyTorch); Interested in speech and text processing.

>> Financial Support: Up to 15,000 TWD per month (approximately 450 USD).

Application Process: Interested applicants should submit:
1. A resume or CV detailing relevant skills and experience
2. A cover letter expressing interest and motivation for the project
3. Transcripts (for students)

How to Apply: Please send your application to qianbeihong@stust.edu.tw with the subject line: "TEEP Voice Spoofing Detection Project - Application". This is an incredible opportunity for undergraduate students to gain hands-on experience in cutting-edge AI research, with a focus on improving security systems. Join us in this impactful and exciting project! We look forward to receiving your application!