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INTERDISCIPLINARY APPROACHES FOR ADVANCING ARTICULATORY SPEECH THEORY AND SYNTHESIS

机译:跨学科话语理论与综合研究的跨学科方法

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Articulatory synthesis research has long been dominated by frequency domain and concatenate samplebased speech synthesis techniques. While successful in some domains (e.g., voice-based databases), these techniques still cannot produce natural looking and sounding speech from text for an arbitrary speaker. Natural looking and sounding speech technology is one of the next major milestones in voice-based interaction for natural user interfaces. Through a team of interdisciplinary international researchers, we have been steadily working towards creating the necessary platform to overcome basic problems in synthetic speech production. Our approach is three fold: 1. Create a Functional Reference for Anatomical Knowledge (FRANK) template model for use in studying articulatory synthesis, 2. Develop new methods for voice synthesis that couple to the platform, and 3. Use the biomechanically driven articulatory synthesizer to explore and develop theories of speech production. Our team draws from electrical, computer and mechanical engineering, linguistics, computer science, dentistry, radiology and surgery to assemble the needed components for advancing the state of the art.
机译:语音合成研究长期以来一直被频域和基于样本的语音合成技术所主导。这些技术虽然在某些领域(例如,基于语音的数据库)取得了成功,但仍然无法从任意说话者的文本中产生自然的外观和发声的语音。具有自然外观的语音技术是自然用户界面基于语音的交互的下一个重要里程碑之一。通过一个跨学科的国际研究人员团队,我们一直在努力创建必要的平台,以克服合成语音制作中的基本问题。我们的方法包括三个方面:1.创建用于解剖学合成的功能性解剖知识功能参考(FRANK)模板模型; 2.开发与平台耦合的语音合成新方法;以及3.使用生物力学驱动的发音合成器探索和发展言语产生理论。我们的团队从电气,计算机和机械工程,语言学,计算机科学,牙科,放射学和外科手术中汲取经验,以组装所需的组件,以提高技术水平。

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