  To provide more discriminative feedback for the second language (L2) learners
to better identify their mispronunciation, we propose a method for exaggerated
visual-speech feedback in computer-assisted pronunciation training (CAPT). The
speech exaggeration is realized by an emphatic speech generation neural network
based on Tacotron, while the visual exaggeration is accomplished by ADC Viseme
Blending, namely increasing Amplitude of movement, extending the phone's
Duration and enhancing the color Contrast. User studies show that exaggerated
feedback outperforms non-exaggerated version on helping learners with
pronunciation identification and pronunciation improvement.
