Speech Labeling and Modeling Toolkit (SLMTK) - Home News Due to server maintenance and network maintenance, the website would be temporarily inaccessible on the schedule indicated below.2023/2/4 2023/2/5 2023/2/6 0. Table of Contents 1. Introduction The Speech Labeling and Modeling Toolkit version 1.0 (SLMTK 1.0) is designed to facilitate constructing text-to-speech (TTS) systems with a knowledge-rich TTS framework. The SLMTK labels speech corpora with linguistic and prosodic-acoustic information. The labeled information can construct TTS models and be used for speech analysis. For users’ convenience, the labeled information is mainly saved in Praat’s TextGrid format. For more details, please refer to the paper accepted by O-COCOSDA 2022: The 25th conference of the Oriental COCOSDA.
2/2/2023履歷 (Curriculum Vitae) Director, Center for Innovation & Entrepreneurship Associate Professor Department of Communication Engineering, National Taipei University, New Taipei City, Taiwan Updated on May 6, 2022 Table of Contents [TOC]
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4/14/2022A Short Introduction to Spoken Language Processing Dr. Chen-Yu Chiang (江振宇博士) Speech & Multimedia Signal Processing Lab (SMSPLab) Dept. of Communication Engineering, National Taipei University, Taiwan Spoken Language Processing is Ubiquitous! (1/3) Human to human phone communications:
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