معرفی
Dr. Michael Mason is a Research Fellow at the Queensland University of Technology (QUT), affiliated with the School of Computer Science. His work bridges advanced signal processing, machine learning, and automotive speech systems, focusing on noise-robust speech recognition and speaker verification frameworks.
- Education: PhD in Hybrid Coding of Speech and Audio Signals (QUT, 2001)
Research Interests span speech recognition, acoustic engineering, machine learning, and human factors in automotive environments. His projects address challenges in in-car speech enhancement, voice activity detection, and dialect mismatch compensation.
Key Trends in Publications highlight innovations in i-vector modeling, FPGA-based audio processing, and likelihood-maximizing frameworks. Collaborations with experts like Sridharan and Vogt underscore his role in advancing speaker verification systems.
Technical Contributions include developing the QUT-NOISE-TIMIT corpus and pioneering FPGA implementations for real-time speech enhancement.
Michael Mason در سایتهای دیگر
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