Character-Level Linguistic Features Extraction for Text-to-Speech System

High quality linguistic features is the key to the success of speech synthesis. Traditional linguistic feature extraction methods are usually relied on a word-level natural language processing (NLP) parser. Since, a good parser requires a lot of feature engineering to build, it is usually a genral-purpose one and often not specially designed for speech synthesis. To avoid these difficulties, we propose to replace the conventional NLP parser by a character embedding and a chacter-level  國立台北科技大學電子工程系 Department of Electronic Engineering, National Taipei University of Technology E-mail: { s970428, sam8105111}@gmail.com; [email protected]  國立交通大學電機工程系 College of Electricl and Computer Engineering, National Chiao-Tung University E-mail: [email protected]