Acknowledgement
Supported by : 성신여자대학교
References
- KOCCA, Culture Technology(CT) in-depth Report, Nov. 2011.
- Y. Y. Seo, J. D. Song, J. H. Lee, "Phoneme Segmentation in Consideration of Speech feature in Korean Speech Recognition," Journal of Korean Society for Internet Information, Vol. 2, No. 1, pp. 31-38, 2001. (in Korean)
- M. Y. Nam, J. J. Lee, J. H. Park, S. Y. No, "Recognition of Korean Fricatives and Affricates Using Modified Teager Energy Measurement Method," Proc. of the IEEK Conference 1993, Vol. 15, No. 1, pp. 23-26, 1993. (in Korean)
- M. J. Kim and C. H. Kweon, "An Automatic Segmentation System Based on HMM and Correction Algorithm," Speech Sciences, Vol. 9, No. 4, pp. 265-274, 2002. (in Korean)
- G. Hinton, L. Deng, D. Yu, G. E. Dahl, "Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups," Signal Processing Magazine, IEEE, Vol. 29, No. 6, pp. 82-97, 2012.
- Y. K. Lee, "Speech Interface Technology and Service Trend under the Smart Phone Environment," Information & Communications Magazine, Vol. 29, No. 4, pp. 3-9, 2012. (in Korean)
- F. Brugnara et al., "Automatic segmentation and labeling of speech based on hidden Markov model," Speech Communication, Vol. 12, pp. 357-370, 1993. https://doi.org/10.1016/0167-6393(93)90083-W
- J. ZhNF, H. Yu, N. Ma, Z. Li, "The Phoneme Automatic Segmentation Algorithms Study of Tibetan Lhasa Words Continuous Speech Stream," Proc. of the 2nd International Conference On Systems Engineering and Modeling, pp. 578-581, 2013.
- G. Kiss, D. Sztaho, K. Vicsi, "Language independent automatic speech segmentation into phoneme-like units on the base of acoustic distinctive features," 2013 IEEE 4th International Conference on Cognitive Infocommunications (CogInfoCom), pp. 579-582, 2013.
- R. A. Brietion, B. M. G. Cheetham, M. C. Hall, "A comparison of distance measures for speech segmentation in variable frame rate speech vocoding," Proc. of the IEEE Colloquium, pp. 6/1-6/5, 1990.
- F. Itakura and S. Saito, "A statistical method for estimation of speech spectral density and formant frequencies," Electronics and Communications in Japan, Vol. 53A, pp. 36-43, 1970.
- H. Jung, Korean Speech Recognition Using Neural Networks, Korean Institute of Information Scientists and Engineers, pp. 63-82, 1993.
- J. H. Lee, J. W. Lee, and J. Lee, "Korean Phonemes 'ㅅ', 'ㅈ', 'ㅊ' Recognition based on Sign Distribution Volatility," Communications of the Korean Institute of Information Scientists and Engineers, Vol. 19, pp. 377-382, 2013. (in Korean)
- J. W. Lee, "Speech Recognition of Korean Phonemes 'ㅅ', 'ㅈ', 'ㅊ' based on Volatility and Turning Points," KIISE Transactions on Computing Practices, Vol. 20, No. 11, pp. 579-585, 2014. (in Korean) https://doi.org/10.5626/KTCP.2014.20.11.579
- S. K. Choi, J. W. Lee, and J. Lee, "Korean Vowel 'ㅏ' Recognition based on Wave Sequence Detection," Proc. of the Digital Contents Society Joint Conference 2013, Vol. 14, pp. 577-579, 2013. (in Korean)
- W. Roh and J. Lee, "Implementation of Korean Vowel 'ㅏ' Recognition based on Common Feature Extraction of Waveform Sequence," KIISE Transactions on Computing Practices, Vol. 20, No. 11, pp. 567-572, 2014. (in Korean) https://doi.org/10.5626/KTCP.2014.20.11.567