In this paper we propose a word-wise intonation model for Russian language and show how it can be generalized for other languages. The proposed model is suitable for automatic data markup and its extended application to text-to-speech systems. It can also be implemented for an intonation contour modeling by using rule-based algorithms or by predicting contours with language models. The key idea is a partial elimination of the variability connected with different placements of a stressed syllable in a word. It is achieved with simultaneous applying of pitch simplification with a dynamic time warping clustering. The proposed model could be used as a tool for intonation research or as a backbone for prosody description in text-to-speech systems. As the advantage of the model, we show its relations with the existing intonation systems as well as the possibility of using language models for prosody prediction. Finally, we demonstrate some practical evidence of the system robustness to parameter variations.

本研究解决了在自动标记和文本到语音系统中的语调建模问题。提出的模型通过动态时间规整聚类和音调简化，部分消除了不同重音音节位置导致的变异。研究表明，该模型在语调研究和语音合成中具有广泛的应用潜力。 

基于单词的跨语言TTS系统语调模型