1 |
https://en.wikipedia.org/wiki/WaveSurfer
|
2 |
P. H. Milenkovic. University of Wisconsin-Madison http://userpages.chorus.net/cspeech/
|
3 |
J. Lee. (2014). KHIDI Brief. Korea Health Industry Development Institute. 140(2014), 1-2.
|
4 |
J. I. Yi, Y. K. Kim & G. J. Kim. (2017). A Study on Improving English Pronunciation and Intonation utilizing Fluency Improvement system, Journal of the Korea Convergence Society, 8(11), 1-6.
DOI
|
5 |
J. C. Hwang. (2017). Voice Recognition Performance Improvement using the Convergence of Voice signal Feature and Silence Feature Normalization in Cepstrum Feature Distribution, Journal of the Korea Convergence Society, 8(5), 13-17.
DOI
|
6 |
J. C. Kahane. (1981). Anatomic and physiologic changes in the aging peripheral speech mechanism, Edited D. S. Beasley & G. A. Davis, Grune & Stratton, New York, 21-45.
|
7 |
S. Y. Lee. (2011). The overall speaking rate and articulation rate of normal elderly people, Graduate program in speech and language pathology, Master these, Yonsei University.
|
8 |
J. Y. Lee, S. Jeong, H. S. Choi & M. S. Hahn. (2008). Objective pathological voice quality assessment based on HOS features, IEICE Transactions on Information and Systems, E91-D(12), 2888-2891.
DOI
|
9 |
J. B. Alonso, J. de Leon, I. Alonso & M. A. Ferrer. (2001). Automatic Detection of Pathologies in the Voice by HOS Based Parameters, EURASIP Journal on Applied Signal Processing, 4(2001), 275-284.
|
10 |
J. Y. Lee, S. Jeong & M. S. Hahn. (2008). Pathological Voice Detection Using Efficient Combination of Heterogeneous Features, IEICE Transactions on Information and Systems, E91-D(2), 367-370.
DOI
|
11 |
J. Y. Lee. (2012). A two-stage approach using Gaussian mixture models and higher-order statistics for a classification of normal and pathological voices, Advances in Signal Processing on Euraship, 252(2012). http://asp.eurasipjournals.com/content/2012/1/252.
|
12 |
J. Y. Lee. (2016). Fundamental Frequency Characteristics using Moving Window Method for Korean Elderly Voices, International Journal of Engineering and Technology, 8(3), 1589-1599.
|
13 |
R. T. Sataloff, D. C. Rogen, M. Hawkshaw & J. R. Spiegel. (1997). The three ages of voice. The aging adult voice, Journal of Voice, 11(2), 156-160.
DOI
|
14 |
S. Lee & S. Kim. (2014). Elderly speech analysis for improving elderly speech recognition, Communications of the KOREA Information Science Society, 32(11), 15-20.
|
15 |
J. Y. Lee & S. H. Choi. (2012). Perturbation analysis using a moving window for disordered voices, International Journal of Engineering, Science, and Innovative Technology, 3(1), 1-10.
|
16 |
WISET (2013). Science and Technology Gender Innovation. Seoul : WISET. ISBN 978-89-97520-24-4
|
17 |
J. Y. Lee, S. B. Jeong, M. S. Hahn, A. Sprecher & J. J. Jiang. (2011). An efficient approach using HOS-based parameters in the LPC residual domain to classify breathy and rough voices, Biomedical Signal Processing and Control, 6(2), 186-196.
DOI
|
18 |
J. Y. Lee. (2017). Feature Extraction of Elderly Signals based on Bicoherence Estimation for Automated Medical Diagnosis System, International Journal of Control and Automation, 10(2), 115-128. http//dx.doi.org/10.14257/ijca.2017.10.2.10
|
19 |
KOFWST, Gendered Innovations, http://gister.re.kr/#!/main
|
20 |
H. T. Kim, S. H. Cho, S. M. Youn, D. I. Sun & M. S. Kim. (2000). The Changes and Characteristics of Acoustic Parameters with Aging in Korean, Korean J Otolaryngol, 2000(43), 69-74.
|
21 |
S. W. Kim, H. H. Park, E. S. Park & H. S. Choi. (2010). Acoustic Characteristics of Normal Healthy Koreans with Advancing age, Phonetics and Speech Sciences, 2(4), 19-28.
|