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Text-driven Speech Animation with Emotion Control
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- Authors
- Wonseok Chae, Yejin Kim
- Issue Date
- 2020-08
- Citation
- KSII Transactions on Internet and Information Systems, v.14, no.8, pp.3473-3487
- ISSN
- 1976-7277
- Publisher
- 한국인터넷정보학회
- Language
- English
- Type
- Journal Article
- Project Code
- 20HH9100, Proactive interation based VRAR virtual human object creation technology, Yoon Yeo Chan
- Abstract
- In this paper, we present a new approach to creating speech animation with emotional expressions using a small set of example models. To generate realistic facial animation, two example models called key visemes and expressions are used for lip-synchronization and facial expressions, respectively. The key visemes represent lip shapes of phonemes such as vowels and consonants while the key expressions represent basic emotions of a face. Our approach utilizes a text-to-speech (TTS) system to create a phonetic transcript for the speech animation. Based on a phonetic transcript, a sequence of speech animation is synthesized by interpolating the corresponding sequence of key visemes. Using an input parameter vector, the key expressions are blended by a method of scattered data interpolation. During the synthesizing process, an importance-based scheme is introduced to combine both lip-synchronization and facial expressions into one animation sequence in real time (over 120Hz). The proposed approach can be applied to diverse types of digital content and applications that use facial animation with high accuracy (over 90%) in speech recognition.
- KSP Keywords
- Basic emotions, Digital content, Emotion control, Emotional expression, High accuracy, Input parameters, New approach, Real-Time, Scattered data interpolation, Small set, Speech animation