We present EMPHASIS, an emotional phoneme-based acoustic model for speech
synthesis system. EMPHASIS includes a phoneme duration prediction model and an
acoustic parameter prediction model. It uses a CBHG-based regression network to
model the dependencies between linguistic features and acoustic features. We
modify the input and output layer structures of the network to improve the
performance. For the linguistic features, we apply a feature grouping strategy
to enhance emotional and prosodic features. The acoustic parameters are
designed to be suitable for the regression task and waveform reconstruction.
EMPHASIS can synthesize speech in real-time and generate expressive
interrogative and exclamatory speech with high audio quality. EMPHASIS is
designed to be a multi-lingual model and can synthesize Mandarin-English speech
for now. In the experiment of emotional speech synthesis, it achieves better
subjective results than other real-time speech synthesis systems.

EMPHASIS 是一种基于情感音素的语音合成系统，使用 CBHG 回归网络来建模语音和声学特征之间的依赖关系，并采用特征分组策略来增强情感和韵律特征，可在实时生成具有高音质的感叹和疑问语调的多种语言（目前支持中英文），在情感语音合成实验中取得了更好的主观结果。