The Speech Labeling and Modeling Toolkit (SLMTK) Version 1.0-Reference-Cited by-同舟云学术

The Speech Labeling and Modeling Toolkit (SLMTK) Version 1.0

Published:2022-11 Issue: Volume: Page:
ISSN:
Container-title:2022 25th Conference of the Oriental COCOSDA International Committee for the Co-ordination and Standardisation of Speech Databases and Assessment Techniques (O-COCOSDA)
language:
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Author:

Chiang Chen-Yu¹,Li Wu-Hao¹,Lin Yen-Ting¹,Su Jia-Jyu¹,Chen Wei-Cheng²,Kao Cheng-Che²,Lin Shu-Lei¹,Lin Pin-Han¹,Hong Shao-Wei¹,Liou Guan-Ting³,Chang Wen-Yang²,Chiang Jen-Chieh²,Lin Yen-Ting⁴,Wang Yih-Ru³,Chen Sin-Horng³

Affiliation:

1. National Taipei University,Taiwan

2. AcoustInTek Co., Ltd,Taiwan

3. National Yang Ming Chiao Tung University,Taiwan

4. udnDigital Co., Ltd,Taiwan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9997569/9997817/09997860.pdf?arnumber=9997860

Reference41 articles.

1. Praat: doing phonetics by computer. 2022.[Online];boersma,0

2. The Kaldi Speech Recognition Toolkit;povey,2011

3. Speaker Adaptation of SR-HPM for Speaking Rate-Controlled Mandarin TTS

4. Montreal Forced Aligner: Trainable Text-Speech Alignment Using Kaldi

5. Information, prosody, and modeling - with emphasis on tonal features of speech;fujisaki;Speech Prosody 2004,2004

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1. VoiceBank-2023: A Multi-Speaker Mandarin Speech Corpus for Constructing Personalized TTS Systems for the Speech Impaired;2023 26th Conference of the Oriental COCOSDA International Committee for the Co-ordination and Standardisation of Speech Databases and Assessment Techniques (O-COCOSDA);2023-12-04