과제정보
연구 과제 주관 기관 : 인천대학교
참고문헌
- C. W. Lee, et al., "Prevalence of orofacial clefts in Korean live births," Obstet Gynecol Sci, Vol. 58, No. 3, pp. 196-202, May. 2015. https://doi.org/10.5468/ogs.2015.58.3.196
- S. G. Fletcher, "Theory and instrumentation for quantitative measurement of nasality," Cleft Palate Journal, Vol. 7, pp. 601-609, 1970.
- J.-E. Lee, et al., "Research on Construction of the Korean Speech Corpus in Patient with Velopharyngeal Insufficiency," Korean Journal of Otorhinolaryngol - Head & Neck Surgery, Vol. 55, No. 8, pp. 498-507, 2012. (in Korean) https://doi.org/10.3342/kjorl-hns.2012.55.8.498
- S. M. Kim, et al., "Analysis of the Feature Extraction Methods for Detecting the Distorted Speech of Cleft Palate Patients," Proc. of the KSCSP 2014, Vol. 31, No. 1, pp. 107-109, Aug. 2014. (in Korean)
- Y. M. Lee, J. E. Sung, H. S. Sim, "Consonant Confusions Matrices in Adults with Dysarthria Associated with Cerebral Palsy," Journal of Korean Society of Speech Sciences, Vol. 5, No. 1 pp. 47-54, 2013. (in Korean)
- D.-L. Choi, B.-W. Kim, M. H. Chung, Y.-J. Lee, "Design and Creation of Speech Database for Development of QoLT Software Technology," Proc. of the HCI 2012, pp. 121-124, 2012. (in Korean)
- M. J. Kim, J. H. Yoo, H. R. Kim, "Dysarthric Speech Recognition Using Dysarthria-Severity-Dependent and Speaker-Adaptive Models," INTERSPEECH 2013, pp. 3622-3626, 2013.
- W. K. Seong, J. H. Park, and H. K. Kim, "Dysarthric speech recognition error correction using weighted finite state transducers based on context-dependent pronunciation variation," Computers Helping People with Special Needs, Vol. 7383, pp. 475-482, Jul. 2012. https://doi.org/10.1007/978-3-642-31534-3_70
- H.-G. Shin, O.-W. Kim, H.-G. Kim, "The Speech of Cleft Palate Patients using Nasometer, EPG and Computer based Speech Analysis System," Speech Sciences, Vol. 4, No. 2, pp. 69-89, 1998. (in Korean)
- J. S. Han, H. S. Sim, "Comparison of the Percentage of Correct Consonants, Speech Intelligibility, and Speech Acceptability among Children with Cleft Palate, Children with Functional Articulation Disorder, and Normally Developing Children," Korean Journal of Communication Disorders, Vol. 13, No. 3, pp. 454-476, 2008. (in Korean)
- A. Maier, F. Honig, T. Bocklet, and E. Noth, "Automatic detection of articulation disorders in children with cleft lip and palate," Journal of Acoustical Society of America, Vol. 126, No. 5, pp. 2589-2602, Nov. 2009. https://doi.org/10.1121/1.3216913
- L. He, J. Zhang, Q. Liu, H. Yin, M. Lech, "Automatic Evaluation of Hypernasality and Consonant Misarticulation in Cleft Palate Speech," IEEE Signal Processing Letters, Vol. 21, No. 10, Oct. 2014.
- J. R. Deller, Jr., J. H. L. Hansen, and J. G. Proakis, Discrete-Time Processing of Speech Signals, IEEE Press, 2000.
- Y.-G. Jung, M.-S. Han, and S.-J. Lee, "Effective Feature Vector for Isolated-Word Recognizer using Vocal Cord Signal," Journal of KIISE : Software and Applications, Vol. 34, No. 3, pp. 226-234, Mar. 2007. (in Korean) (in Korean)
- L. R. Rabiner and R. W. Schafer, Digital Processing of Speech Signals, Prentice-Hall, 1978.
- H. Hermansky, "Perceptual Linear Predictive (PLP) Analysis of Speech," Journal of Acoustic Society America, Vol. 87, No. 4, pp. 1738-52, Apr. 1990. https://doi.org/10.1121/1.399423
- M. Y. Sung, et al., "Analysis on Vowel and Consonants Sounds of Patient's Speech with Velopharyngeal Insufficiency (VPI) and Simulated Speech," Journal of Korea Institute of Information and Communication Engineering, Vol. 18, No. 7, pp. 1740-1748, Jul. 2014. (in Korean) https://doi.org/10.6109/jkiice.2014.18.7.1740
- S.-H. Chung and M.-U. Park, "A Parallel Speech Recognition System based on Hidden Markov Model," Journal of KIISE : Computer Systems and Theory, Vol. 27, No. 12, pp. 951-959, Dec. 2000. (in Korean)
- The Hidden Markov Model Toolkit (HTK). [Online]. Available: http://htk.eng.cam.ac.uk