Detection and Segmentation of Phonemes in Real Time for Lip-Synch Application
Center for Language & Speech Processing(CLSP), JHU via YouTube
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Overview
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Learn about real-time phoneme detection and segmentation techniques specifically designed for lip-synchronization applications in this technical lecture from the Center for Language & Speech Processing at Johns Hopkins University. Explore the computational methods and algorithms used to identify and segment individual speech sounds (phonemes) from continuous audio streams with the precision and speed required for real-time lip-sync technology. Discover the challenges involved in processing speech signals for visual synchronization, including timing constraints, accuracy requirements, and the specific phonetic features that must be detected to create convincing lip movements. Examine the practical applications of this technology in multimedia production, animation, and human-computer interaction systems where accurate lip-sync is essential for creating realistic visual representations of speech.
Syllabus
Hanseok Ko: Detection and Segmentation of Phonemes in Real Time For Lip-Synch Application
Taught by
Center for Language & Speech Processing(CLSP), JHU