JOURNAL BROWSE
Search
Advanced SearchSearch Tips
Korean Sentence Symbol Preprocess System for the Improvement of Speech Synthesis Quality
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Korean Sentence Symbol Preprocess System for the Improvement of Speech Synthesis Quality
Lee, Ho-Joon;
  PDF(new window)
 Abstract
In this paper, we propose a Korean sentence symbol preprocessor for a SSML (speech synthesis markup language) supported speech synthesis system in order to improve the quality of the synthesized result. After the analysis of Korean Wikipedia documents, we propose 8 categories for the meaning of sentence symbols and 11 regular expression for the classification of each category. After the development of a Korean sentence symbol preprocess system we archived 56% of precision and 71.45% of recall ratio for 63,000 sentences.
 Keywords
sentence symbol processing;speech synthesis;quality improvement;Korean sentence symbols;preprocessing;
 Language
Korean
 Cited by
 References
1.
Revised Guidelines on Korean Orthography, Ministry of Culture, Sports and Tourism, 2014.

2.
Jin-Hyung Kim, So-Young Park, "Rule-based Speech Recognition Error Correction for Mobile Environment," Journal of the Korea Society of Computer and Information, vol. 17, no. 10, pp. 25-33, October 2012. crossref(new window)

3.
Gyeongyong Heo, Woo-Young Jang, Jun-Pyo Park, "Digital Doorlock with Voice Recognition," Proceedings of the Korean Society of Computer Information Conference, pp. 269-270, July 2012.

4.
Seong Jin Cho, Seongho Lee, Sungyoung Lee, "Design of Emotion Recognition system utilizing fusion of Speech and Context based emotion recognition in Smartphone," Proceedings of the Korean Society of Computer Information Conference, pp. 323-324, July 2012.

5.
Kee-Beak Kim, Jong-Ho Choi, "Contents Navigation System using Speech Recognition," KSCI Review, vol. 15, no. 1, pp. 99-102, June 2007.

6.
Myung-Hun Kim, Chi-Geun Lee, In-Mi So, Sung-Tae Jung, "Design and Implementation of a Bimodal User Recognition System using Face and Audio," Journal of the Korea Society of Computer and Information, vol. 10, no. 5, pp. 353-362, November, 2005.

7.
Jin-Koo Ji, Sung-Il Yun, "Design and Implementation of Speaker Verification System Using Voice," Journal of the Korea Society of Computer and Information, vol. 5, no. 3, pp. 91-98, September 2000.

8.
Sangho Lee, Yung-Hwan Oh, "Tree-based modeling of prosodic phrasing and segmental duration for Korean TTS systems," Speech Communication, vol. 28, no. 4, pp. 283-300, 1999. crossref(new window)

9.
Sang-Min Lee, Ho-Joon Lee, "How to Express Emotion: Role of Prosody and Voice Quality Parameters," Journal of the Korea Society of Computer and Information, vol. 19, no. 11, pp. 159-166, November, 2014. crossref(new window)

10.
Gi-Jeong Lim, Jung-Chul Lee, "Improvement of Naturalness for a HMM-based Korean TTS using the prosodic boundary information," Journal of the Korea Society of Computer and Information, vol. 17, no. 9, pp. 75-84, September 2012. crossref(new window)