1 |
A. Srinivasan, Speech Recognition Using Hidden Markov Model, Applied Mathematical Sciences, vol. 5, no. 79, pp. 3943-3948, 2011.
|
2 |
S. M. Naqvi, M. Yu, J. A. Chamber. A Multimodal Approach to Blind Source Separation of Moving Sources. IEEE Trans. Signal Processing. Vol. 4, No. 5, pp. 895-910, 2010.
|
3 |
Beaufays, F., Vanhoucke, V. & Strope, B. Unsupervised discovery and training of maximally dissimilar cluster models. Proc. Interspeech, pp. 66-69, 2010.
|
4 |
S. Y. Oh. Improving Phoneme Recognition based on Gaussian Model using Bhattacharyya Distance Measurement Method. Journal of Korea Multimedia Society. Vol. 14, No. 1, pp. 85-93, 2011.
DOI
|
5 |
Hirsch, H. G. & Pearce, D. The Aurora experimental framework for the performance evaluation of speech recognition systems under noisy conditions, in Proc. ICSLP. pp. 18-20. 2000.
|
6 |
Young, S. HTK: Hidden Markov Model Toolkit V3.4.1. Cambridge University, Engineering Department, Speech Group. 1993.
|
7 |
J. Y. Ahn, Sang-Bum Kim, Su-Hoon Kim, Kang-In Hur. A study on Voice Recognition using Model Adaptation HMM for Mobile Environment. The Journal of the Institute of Webcasting, Internet and Telecommunication. Vol. 11, No. 3, pp. 175-179, 2011.
|
8 |
S. Y. Oh. Selective Speech Feature Extraction using Channel Similarity in CHMM Vocabulary Recognition. The Journal of digital policy and management. Vol. 11, No. 7, pp. 453-458, 2013.
|
9 |
S. Y. Oh. Bayesian Method Improve Recognition Rates using HMM Vocabulary Recognition Model Optimization. The Journal of digital policy and management. Vol. 12, No. 7, pp. 273-278, 2014.
|
10 |
S. Y. Oh. Decision Tree State Tying Modeling Using Parameter Estimation of Bayesian Method The Journal of Digital Policy and Management. Vol. 13, No. 1, pp. 1243-248, 2015.
|
11 |
C. S. Ahn, S. Y. Oh. CHMM Modeling using LMS Algorithm for Continuous Speech Recognition Improvement. The Journal of digital policy and management. Vol. 10, No. 11, pp. 377-382, 2012.
|
12 |
J. C. Hwang. Voice Recognition Performance Improvement using the Convergence of bayesian method and Selective Speech Feature Extraction. The Journal of the Korea Convergence Society. Vol. 7, No. 6, pp. 7-11, 2016.
DOI
|
13 |
C. S. Ahn, S. Y. Oh. Echo Noise Robust HMM Learning Model using Average Estimator LMS Algorithm. The Journal of Digital Policy and Management. Vol. 10, No. 10, pp. 277-282, 2012.
|
14 |
C. S. Ahn, S. Y. Oh. Efficient Continuous Vocabulary Clustering Modeling for Tying Model Recognition Performance Improvement. Journal of the Korea Society of Computer and Information. Vol. 15, No. 1, pp. 177-183, 2010.
DOI
|
15 |
C. S. Ahn, S. Y. Oh. Vocabulary Recognition Retrieval Optimized System using MLHF Model . Journal of the Korea Society of Computer and Information. Vol. 14, No. 10, pp. 217-223, 2009.
|
16 |
B. O. Kank, S. H. Lee, "Requirements Analysis in ID-based Future Internet," Journal of IT Convergence Society for SMB, Vol. 6, No. 3, pp. 43-48, 2016.
DOI
|