Relating Objective and Subjective Performance Measures for AAM-Based Visual Speech Synthesis


We compare two approaches for synthesizing visual speech using active appearance models (AAMs): one that utilizes acoustic features as input, and one that utilizes a phonetic transcription as input. Both synthesizers are trained using the same data and the performance is measured using both objective and subjective testing. We investigate the impact of… (More)
DOI: 10.1109/TASL.2012.2202651


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