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¡¤ Publications ¡¤ ¡¤ International Journal 1. W. Lee, J. -H. Song, and J. -H. Chang, "Minima-controlled Speech Presence Uncertainty Tracking Method for Speech Enhancement," 2. J. -H. Chang and K. -H. Lee, "Voice phishing detection technique based on minimum classification error method incorporating codec 3. J. -H. Choi, J. -H. Chang, and S. -R. Lee, "Efficient speech reinforcement based on low-bit- rate speech coding parameters," IEICE 4. J. W. Shin, J. -H. Chang, and N. S. Kim, "Voice activity detection based on statistical models and machine learning approaches," 5. J. -M. Kum and J. -H. Chang "Imporved Global Soft Decision Incorporating Second-Order Conditional MAP in Speech Enhancement," IEICE Tans. on Information and Systems, Vol.E93-D,No.6,pp.1652-1655 June. 2010. 6. K. -H. Lee, J. -H. Chang, N. S. Kim, S. Kang, and Y. Kim, "Frequency-Domain Double-Talk Detection based on the Gaussian Mixture Model," 7. Y. -S. Park and J. -H. Chang, "Double-talk detection based on soft decision for acoustic echo suppression," Signal Processing, 8. S. -I. Kang and J. -H. Chang, "Voice activity detection based on
discriminative weight training
incorporating a spectral flatness 9. J. -M. Kum, Y. -S. Park, and J. -H. Chang, "Improved minima controlled recursive averaging technique using conditional maximum a posteriori criterion for speech enhancement," Digital Signal Processing, Feb. 2010. 10. S. -K. Kim and J. -H. Chang, "Discriminative weight training for support vector machine-based speech/music classification
in 3GPP2 SMV 11. S. -I. Kang and J. -H. Chang, "Discriminative weight training-based optimally weighted MFCC for gender identification," 12. J. -H. Song and J. -H. Chang, "Efficient implementation of voiced/unvoiced sounds classification based on GMM for SMV codec," 13. J. -H. Choi and W. -S. Park, J. -H. Chang, "Speech reinforcement based on soft decision under far-end noise environments," 14. K. -H. Lee and J. -H. Chang, "Acoustic environment classification based on SMV speech codec parameters for context-aware mobile phone," 15. J. -M. Kum and J. -H. Chang, "Speech enhancement based on minima controlled recursive averaging incorporating second-order 16. Q. -H. Jo, J. -H. Chang, J. W. Shin, and N. S. Kim, "A statistical model-based voice activity detection using support vector machine," 17. S. -K. Kim and J. -H. Chang, "Speech/music classification enhancement for 3GPP2 SMV codec based on support vector machine," 18. J. -H. Chang, Q. -H. Jo, D. K. Kim, and N. S. Kim, "Global soft decision employing support vector machine for speech enhancement," 19. Y. -S. Park and J.-H. Chang, "Frequency domain acoustic echo suppression based on soft decision,¡± 20. K. -H. Park, J. -S. Yang, J. -H. Chang, and D. H. Kim, "Anticipatory I/O management for clustered flash translation layer in NAND 21. K. -H. Lee, S.-I. Kang, D. H. Kim, and J.-H. Chang, ¡°A support vector machine-based gender identification using speech signal,¡± 22. Q. -H. Jo, Y. -S. Park, K. -H. Lee, and J. -H. Chang, ¡°A support vector machine-based voice activity detection employing 23. S. -I. Kang, Q. -H. Jo, and J. -H. Chang, ¡°Discriminative weight training for a statistical model-based voice activity detection,¡± 24. J. K. Kim, J. S. Kim, H. S. Yoon, J. -H. Chang, and N. S. Kim, "Frame splitting scheme for error-robust audio streaming over 25. J. -H. Song, K. -H. Lee, J. -H. Chang, J. K. Kim, and N. S. Kim, ¡°Analysis and improvement of speech/music classification 26. Y. -S. Park and J. -H. Chang, ¡°A probabilistic combination method of minimum statistics and soft decision for robust 27. J. -H. Chang, H. G. Kim, and S. Kim, "Residual echo reduction based on MMSE estimator in acoustic echo canceller", 28. D. K. Kim, K. W, Jang, and J. -H. Chang, "A new statistical voice activity detection based on UMP test,¡± 29. J. W. Shin, J. -H. Chang, and N. S. Kim, ¡°Speech enhancement based on perceptually comfortable residual noise,¡± 30. J. W. Shin, J. -H. Chang, and N. S. Kim, ¡°Voice activity detection based on a family of parametric distributions,¡± 31. Y. -S. Park and J. -H. Chang, ¡°A novel approach to a robust a priori SNR estimator in speech enhancement,¡± 32. J. -H. Chang, D. S. Jeong, N. S. Kim, and S. Kang,¡°Improved global soft decision using smoothed global 33. J. -H. Chang, ¡°Complex laplacian probability density function for noisy speech enhancement,¡± 34. J. -H. Chang, S. Gazor, N. S. Kim, and S. K. Mitra, "Multiple statistical models for soft decision in noisy speech 35. J. -H. Chang, N. S. Kim, and S. K. Mitra, "Voice activity detection based on multiple statistical models," 36. J. -H. Chang and N. S. Kim, ¡°A new structural approach in system identification with generalized analysis- 37. J. -H. Chang, ¡°Perceptual weighting filter for robust speech modification,¡± 38. J. -H. Chang and S. K. Mitra, ¡°Multiband vector quantization based on inner product for wideband speech 39. J. -H. Chang, ¡°Warped discrete cosine transform-based noisy speech enhancement,¡±IEEE Trans. Circuit and Systems, 40. J. -H. Chang, J. W. Shin, N. S. Kim, and S. K. Mitra ¡°Image probability distribution based on generalized 41. J. -H. Chang, N. S. Kim, and S. K. Mitra, ¡°Pitch estimation of speech signal based on adaptive 42. J. W. Shin, J. -H. Chang, and N. S. Kim ¡°Statistical modeling of speech signal based on 43. J. -H. Chang, N. S. Kim, and S. K. Mitra, ¡°A statistical model-based V/UV decision under background noise 44. J. -H. Chang, J. W. Shin, and N. S. Kim ¡°Voice activity detector employing generalized Gaussian 45. J. -H. Chang and N. S. Kim, ¡®¡¯Distorted speech rejection for automatic speech recognition in wireless 46. N. S Kim and J. -H. Chang, ¡®¡¯Signal modification for robust speech coding,¡± 47. J. -H. Chang and N. S. Kim, ¡°Voice activity detection based on complex Laplacian model,¡± 48. N. S. Kim and J. -H. Chang, "A preprocessor for low bit-rate speech coding," 49. J. -H. Chang and N. S. Kim, "Speech enhancement : new approaches to soft decision," 50. N. S. Kim and J. -H. Chang, "Spectral enhancement based on global soft decision,"
¡¤ ÇÐÁøµîÀçÀú³Î 2. ÃÖÀçÈÆ, ÀåÁØÇõ, ±è³²¼ö, ¡°½ºÆåÆ®·³ º¯À̸¦ ÀÌ¿ëÇÑ Soft Decision ±â¹ÝÀÇ À½¼ºÇâ»ó ±â¹ý¡±, ÀüÀÚ°øÇÐȸ³í¹®Áö, (accept), 2010 3. À̰èȯ, ÀåÁØÇõ, ¡°°³ÀÎ ¶óÀÌÇÁ·Î±×¸¦ À§ÇÑ À½Çâ±â¹ÝÀÇ ¸ÖƼ¸ð´Þ ½Ã½ºÅÛ¡±, TELECOMMUNICATIONS REVIEW, Á¦20È£, Á¦3±Ç, 4. ¹ÚÀ±½Ä, ÀåÁØÇõ, ¡°»õ·Î¿î ÀâÀ½Àü·Â ÃßÁ¤ ±â¹ýÀ» Àû¿ëÇÑ À½ÇâÇÐÀû ¹ÝÇâ ¹× ¹è°æÀâÀ½ Á¦°Å ÅëÇսýºÅÛ¡±, Çѱ¹À½ÇâÇÐȸÁö, Á¦28±Ç, 5. ÀÌ¿ìÁ¤, ÀåÁØÇõ, ¡°À½¼º Çâ»óÀ» À§ÇÑ ÃÖ¼Ò°ª Á¦¾î À½¼º Á¸Àç ºÎÁ¤È®¼ºÀÇ ÃßÀû±â¹ý¡±, Çѱ¹À½ÇâÇÐȸÁö, Á¦28±Ç, Á¦7È£, pp.668-673, 6. ¹ÚÀ±½Ä, ÀåÁØÇõ, ¡°Tracking echo-presence uncertainty ±â¹ÝÀÇ ÀÜ¿© ¹ÝÇâ ¾ïÁ¦¡±, Çѱ¹Åë½ÅÇÐȸ³í¹®Áö, Á¦34±Ç,
Á¦10È£, 7. J. -H. Choi, S. U. Seol, and J, -H. Chang, ¡°Voice quality criteria for heterogenous network communication under mobile-VoIP 8. ¹ÚÀ±½Ä, ÀåÁØÇõ, ¡°Á֯ļö¿µ¿ª¿¡¼ soft decision ±â¹ÝÀÇ À½ÇâÇÐÀû ¹ÝÇâ Á¦°Å¡±, TELECOMMUNICATIONS REVIEW, Á¦19±Ç Á¦5È£, 9. ±è»ó±Õ, ÀåÁØÇõ, Á¶±âÈ£, ±è³²¼ö, ¡°SMVÄÚµ¦ÀÇ À½¼º/À½¾Ç ºÐ·ù ¼º´É Çâ»óÀ» À§ÇÑ ÃÖÀûÈµÈ °¡ÁßÄ¡¸¦ °¡Áö´Â ÀԷº¤Å͸¦ »ç¿ëÇÑ 10. À̱ÔÈ£, ÀåÁØÇõ, ¡°Á֯ļö¿µ¿ª¿¡¼ ±¸°£Á¶°ÇÀ» ÀÌ¿ëÇÑ À½ÇâÇÐÀû ¹ÝÇâÁ¦°Å¡±, ÀüÀÚ°øÇÐȸ³í¹®Áö, Á¦49±Ç, Á¦5È£, pp.162-166, 11. À̱ÔÈ£, ÀåÁØÇõ, ¡°Á֯ļö ¿µ¿ª¿¡¼ÀÇ Gaussian mixture model ±â¹ÝÀÇ µ¿½ÃÅëÈ °ËÃâ ¿¬±¸¡±, Çѱ¹À½ÇâÇÐȸÁö,Á¦28±Ç, Á¦4È£, 12. ÃÖÀçÈÆ, ÀåÁØÇõ, ¡°±Ù´Ü ¹è°æ ÀâÀ½ ȯ°æ¿¡¼ G.729A À½¼ººÎÈ£È±â ÆÄ¶ó¹ÌÅÍ¿¡ ±â¹ÝÇÑ »õ·Î¿î À½¼º °È ±â¹ý¡±, 13. ±ÝÁ¾¸ð, ÀåÁØÇõ, ¡°2Â÷ Á¶°Ç »çÈÄ ÃÖ´ë È®·ü ±â¹Ý ÃÖ¼Ò°ª Á¦¾î Àç±ÍÆò±Õ±â¹ýÀ» ÀÌ¿ëÇÑ À½¼ºÇâ»ó¡±,ÀüÀÚ°øÇÐȸ³í¹®Áö, 14. À̰èȯ, ÀåÁØÇõ, ¡°ÃÖ¼Ò ºÐ·ù ¿ÀÂ÷ ±â¹ý°ú ¸ÖƼ ¸ð´Þ ½Ã½ºÅÛÀ» ÀÌ¿ëÇÑ °¨Á¤ ÀÎ½Ä ¾Ë°í¸®Áò¡±, ÀüÀÚ°øÇÐȸ³í¹®Áö, 15. À̰èȯ, ÀåÁØÇõ, ¡°ÃÖ¼Ò ºÐ·ù ¿ÀÂ÷ ±â¹ýÀ» ÀÌ¿ëÇÑ º¸À̽º ÇÇ½Ì °ËÃâ ¾Ë°í¸®Áò¡±, ÀüÀÚ°øÇÐȸ³í¹®Áö, 16. J. -H. Choi, S. U. Seol and J. -H. Chang,¡°A Study on voice communication quality criteria under mobile-VoIP 17. ±ÝÁ¾¸ð, ÀåÁØÇõ, ¡°À½¼ºÇâ»óÀ» À§ÇÑ 2Â÷ Á¶°Ç »çÈÄ ÃÖ´ë È®·ü±â¹ý±â¹Ý global soft decision¡±, Çѱ¹Åë½ÅÇÐȸ³í¹®Áö, 18. ¹ÚÀ±½Ä, ÀåÁØÇõ, ¡°À½ÇâÇÐÀû ¹ÝÇâ Á¦°Å¸¦ À§ÇÑ soft decision ±â¹ÝÀÇ µ¿½ÃÅëÈ °ËÃ⡱, Çѱ¹À½ÇâÇÐȸÁö, Á¦28±Ç, Á¦3È£, 19. Á¶±âÈ£, À±È¯½Ä, ÀåÁØÇõ, ±è³²¼ö, ¡°À½Çâ OFDMÀÇ À½Áú ÀúÇÏ ¿øÀÎ ºÐ¼®¡±, Çѱ¹À½ÇâÇÐȸÁö, Á¦28±Ç Á¦2È£, pp. 107-111, 20. °»óÀÍ, ÀåÁØÇõ, ¡°±Ëȯ±¸Á¶¸¦ °¡Áö´Â º¯º°Àû°¡ÁßÄ¡ ÇнÀ¿¡ ±â¹ÝÇÑ À½¼º°ËÃâ±â¡± , Çѱ¹À½ÇâÇÐȸÁö, Á¦27±Ç, Á¦8È£, 21. ±è»ó±Õ, ÀåÁØÇõ, ¡°SMVÄÚµ¦ÀÇ À½¼º/À½¾Ç ºÐ·ù ¼º´É Çâ»óÀ» À§ÇÑ support vector machineÀÇ Àû¿ë¡± , ÀüÀÚ°øÇÐȸ³í¹®Áö, 22. ÃÖÀçÈÆ, ÀåÁØÇõ, ¡°¿ø´Ü ÀâÀ½ ȯ°æ¿¡¼ soft decision¿¡ ±â¹ÝÇÑ »õ·Î¿î À½¼º °È ±â¹ý¡±, Çѱ¹À½ÇâÇÐȸÁö, 23. ¼ÛÁöÇö, ÀåÁØÇõ, ¡°3GPP2 SMVÀÇ ½Ç½Ã°£ À¯/¹«¼ºÀ½ ºÐ·ù ¼º´É Çâ»óÀ» À§ÇÑ Gaussian mixture model ±â¹Ý ¿¬±¸¡±, 24. °»óÀÍ, ÀåÁØÇõ, À̼º·Î, ¡°º¯º°Àû °¡ÁßÄ¡ ÇнÀÀ» ÀÌ¿ëÇÑ 3GPP2 SVMÀÇ ½Ç½Ã°£ À½¼º/À½¾Ç ºÐ·ù ¼º´É Çâ»ó¡± , Çѱ¹À½ÇâÇÐȸÁö, 25. À̰èȯ, ÀåÁØÇõ,¡°3GPP2 SMV ±â¹ÝÀÇ º¸À̽º ÇÇ½Ì °ËÃâ ¾Ë°í¸®Áò¡±, ÀüÀÚ°øÇÐȸ³í¹®Áö, 26. °»óÀÍ, Á¶±ÔÇà, ÀåÁØÇõ,¡°½Ç½Ã°£ º¯º°Àû °¡ÁßÄ¡ ÇнÀ¿¡ ±â¹ÝÇÑ À½¼º °ËÃâ±â¡±, ÀüÀÚ°øÇÐȸ³í¹®Áö, 27. °»óÀÍ, ÀåÁØÇõ, ¡°º¯º°Àû °¡ÁßÄ¡ ÇнÀÀ» Àû¿ëÇÑ ¼ºº°ÀÎ½Ä ¾Ë°í¸®Áò¡±, Çѱ¹À½ÇâÇÐȸÁö, Á¦27±Ç, Á¦5È£, pp.252-255, 28. ±ÝÁ¾¸ð, ¹ÚÀ±½Ä, ÀåÁØÇõ, ¡°Á¶°Ç »çÈÄ ÃÖ´ë È®·ü ±â¹Ý ÃÖ¼Ò°ª Á¦¾î Àç±ÍÆò±Õ±â¹ýÀ» ÀÌ¿ëÇÑ À½¼ºÇâ»ó¡±, Çѱ¹À½ÇâÇÐȸÁö, 29. Á¶±ÔÇà, ¹ÚÀ±½Ä, À̰èȯ, ÀåÁØÇõ, ¡°È¿°úÀûÀΠƯ¡ º¤Å͸¦ µµÀÔÇÑ support vector machine±â¹Ý À½¼º °ËÃâ±â¡±, 30. À̰èȯ, ÀåÁØÇõ, ±èÇü°ï, ¡°»óȲÀÎÁö ÈÞ´ëÆùÀ» À§ÇÑ À½¼º ÄÚµù ÆÄ¶ó¹ÌÅ͸¦ ÀÌ¿ëÇÑ È¯°æÀÎ½Ä ¾Ë°í¸®Áò¡±, 31. Á¶±ÔÇà, ÀåÁØÇõ, ¡°SVMÀÇ È®·ü Ãâ·ÂÀ» ÀÌ¿ëÇÑ »õ·Î¿î global soft decision ±â¹ÝÀÇ À½¼º Çâ»ó ±â¹ý¡±, Çѱ¹À½ÇâÇÐȸÁö, 32. ¼ÛÁöÇö, À̰èȯ, ÀåÁØÇõ, ¡°3GPP2 SMVÀÇ ½Ç½Ã°£ À½¼º/À½¾Ç ºÐ·ù ¼º´É Çâ»óÀ» À§ÇÑ Gaussian mixture modelÀÇ Àû¿ë¡±, 33. Á¶±ÔÇà, ÀåÁØÇõ, °»ó±â, ¡°¿ìµµºñ Ư¡ º¤Å͸¦ ÀÌ¿ëÇÑ SVM ±â¹ÝÀÇ À½¼º °ËÃâ±â¡±, Çѱ¹À½ÇâÇÐȸÁö, 34. ¹ÚÀ±½Ä, Á¶±ÔÇà, ÀåÁØÇõ, ¡°º¹¼Ò ¶óÇöó½Ã¾È È®·ü ¹Ðµµ ÇÔ¼ö¿¡ ±â¹ÝÇÑ À½¼º Çâ»ó ±â¹ý¡±, ÀüÀÚ°øÇÐȸ ³í¹®Áö, Á¦44±Ç, SPÆí Á¦6È£, pp. 118-123, 2007. 11¿ù. 36. À̰èȯ, ÀåÁØÇõ, ÀÓ¿ìÇü, ±è³²¼ö, ¡°Group delay¸¦ ÀÌ¿ëÇÑ GMM±â¹ÝÀÇ ¼ºº° ÀÎ½Ä ¾Ë°í¸®Áò¡±, Çѱ¹À½ÇâÇÐȸÁö, 37. °»óÀÍ, Á¶±ÔÇà, ÀåÁØÇõ, ¹Ú½Â¼·, ¡°Åë°èÀû ¸ðµ¨ ±â¹ÝÀÇ À½¼º °ËÃâ±â¸¦ À§ÇÑ º¯º°Àû °¡ÁßÄ¡ ÇнÀ¡±, Çѱ¹À½ÇâÇÐȸÁö, 38. ¹ÚÀ±½Ä, ÀåÁØÇõ, ¡°°ÀÎÇÑ À½¼ºÇâ»óÀ» À§ÇÑ Minimum statistics¿Í soft decisionÀÇ È®·üÀû °áÇÕÀÇ »õ·Î¿î ÀâÀ½Àü·Â ÃßÁ¤±â¹ý¡±, 39. ¹Ú±¤Èñ, ±è´öȯ, ±è¿µÈÆ, ÀåÁØÇõ, ¡°Windows CE 5.0 ±â¹ÝÀÇ DMB µð¹ÙÀ̽º µå¶óÀ̹ö ¼³°è ¹× ±¸Çö¡±, ÀüÀÚ°øÇÐȸ ³í¹®Áö, 40. À̰èȯ, °»óÀÍ, ±è´öȯ, ÀåÁØÇõ , ¡°À½¼º½ÅÈ£ ±â¹ÝÀÇ ¼ºº°ÀνÄÀ» À§ÇÑ support vector
machinesÀÇ Àû¿ë¡±, 41. Àå±Ù¿ø, ±èµ¿±¹, ÀåÁØÇõ, ¡°UMP Å×½ºÆ®¿¡ ±Ù°ÅÇÑ »õ·Î¿î Åë°èÀû À½¼º°ËÃâ±â¡±, Çѱ¹À½ÇâÇÐȸÁö, 42. ¹ÚÀ±½Ä, ÀåÁØÇõ, ¡°À½¼ºÇâ»ó¿¡¼ °ÀÎÇÑ »õ·Î¿î ¼±Çà SNR ÃßÁ¤ ±â¹ý¿¡ °üÇÑ ¿¬±¸¡±, Çѱ¹À½Ç×ÇÐȸÁö, 43. ÀåÁØÇõ, ±è³²¼ö, ¡°´ÙÁßÅë°è¸ðµ¨À» ÀÌ¿ëÇÑ À½¼ºÇâ»ó±â¹ý", 44. ÀåÁØÇõ, ±è³²¼ö, ¡°À̻꿩Çöº¯È¯¿¡ ±â¹ÝÇÑ À½¼ºÇâ»ó±â¹ý¿¡ ´ëÇÑ ¿¬±¸", 45. ÀåÁØÇõ, ±èµ¿±¹, ±è³²¼ö, "À½¼º°ËÃâ±âÀÇ ¼³°è¿¡ ÀÖ¾î »õ·Î¿î Åë°è¸ðµ¨°ú Á¢±Ù¹æ¹ý", 46. ±èµ¿±¹, ÀåÁØÇõ, ±è³²¼ö, "À½¼ºÀνÄÀ» À§ÇÑ º¯È¯°ø°£¸ðµ¨¿¡ ±Ù°ÅÇÑ ¼øÂ÷ÀûÀÀ±â¹ý", 47. ÀåÁØÇõ, ±è³²¼ö, "CDMAÀ̵¿Åë½Åȯ°æ¿¡¼ÀÇ À½¼ºÀνÄÀ» À§ÇÑ ¿Ö°îÀ½¼º½ÅÈ£°ÅºÎ¹æ¹ý", ¡¤ International Conference 1. Y.-S. Park, J.-H. Song, S.-I. Kang, W. Lee, and J.-H. Chang,¡°A statistical model-based double-talk detection incorporating 2. Y.-S. Park, J.-H. Song, J.-H. Choi, and J.-H. Chang, ¡°Enhanced minimum statistics technique incorporating soft 3. Y.-S. Park, J.-H. Song, J.-H. Choi, and J.-H. Chang, ¡°Soft decision-based acoustic echo suppression in a frequency domain,¡± 4. J. -M. Kum, Y. -S. Park, and J. -H. Chang, "Speech enhancement based on minima controlled recursive averaging incorporating 5. S.-I. Kang, J.-H. Song, K.-H. Lee, Y.-S. Park, and J.-H. Chang, "A statistical model-based voice activity detection 6. K.-H. Lee, S.-I. Kang, J.-H. Song, and J.-H. Chang, ¡°Group delay function for improved gender identification,¡± 7. Q. -H. Jo, Y. -S. Park, K. -H. Lee, J. -H. Song, and J. -H. Chang, "Voice activity detection based on support vector machine 8. J. K. Kim, H. S. Yun, J. S. Kim, J. -H. Chang, and N. S. Kim, "Error-robust frame splitting for audio streaming 9. J. -H. Chang, W. Lim, and N. S. Kim, "Signal modification incorporating perceptual weighting filter, " 10. S. -U. Ryu, J. -H. Chang, and K. Rose, ¡°Effective high frequency regeneration based on sinusoidal modeling for 11. J. -H. Chang, J. W. Shin, S. Y. Lee, and N. S. Kim, "A new structural preprocessor for low-bit rate speech 12. J. W. Shin, J. -H. Chang, H. S. Yun, and N. S. Kim, "Voice activity detection based on generalized gamma 13. J. -H. Chang, S. Y. Lee, and N. S. Kim, "Inner product-based multi band vector quantization for wideband 14. J. W. Shin, J. -H. Chang, and N. S. Kim ¡°Speech probability distribution based on generalized gamma 15. J. -H. Chang, J. -W. Shin, and N. S. Kim, ¡°Likelihood ratio test with complex Laplacian model for voice 16. J. -H. Chang, D. J. Seo, Y. J. Kim and N. S. Kim, ¡°Pre-rejection of distorted speech for speech recognition 17. J. -H. Chang and N. S. Kim ¡°Speech enhancement using warped discrete cosine transform,¡± 18. N. S. Kim and J. -H. Chang, ¡°Generalized analysis-by-synthesis based on system identification,¡± 19. J. -H. Chang and N. S. Kim, ¡°Speech enhancement : new approaches to soft decision,¡± 20. J. -H. Chang and N. S. Kim, ¡°Spectral enhancement based on global soft decision,¡±
¡¤ ±¹³»Çмú´ëȸ 1. °»óÀÍ, ¹ÚÀ±½Ä, ¼ÛÁöÇö, ÀåÁØÇõ, ½Åº´¼®, "û°¢Àå¾ÖÀÎÀ» À§ÇÑ »óȲÀÎÁö±â¹ÝÀÇ À½¼º°È±â¼ú ¿¬±¸", 2. ¼ÛÁöÇö, ¹ÚÀ±½Ä, °»óÀÍ, ±ÝÁ¾¸ð, ÀåÁØÇõ, "3GPP2 SMV ÄÚµ¦ÀÇ À½¼ºÀ½¾Ç ºÐ·ù ¼º´É Çâ»óÀ» À§ÇÑ Gaussian mixture model ±â¹Ý ¿¬±¸", 3. À̱ÔÈ£, ¹ÚÀ±½Ä, ¼ÛÁöÇö, ±ÝÁ¾¸ð, ÀåÁØÇõ, "Gaussian mixture modelÀ» ÀÌ¿ëÇÑ µ¿½ÃÅëÈ °ËÃâ", 4. ÀÌ¿ìÁ¤, ¼ÛÁöÇö, °»óÀÍ, ±ÝÁ¾¸ð, ÀåÁØÇõ, "MCRA±â¹ý ±â¹ÝÀÇ speech presence uncertainty ÃßÀû±â¹ýÀ» ÀÌ¿ëÇÑ À½¼ºÇâ»ó±â¹ý", 5. ±ÝÁ¾¸ð, ¹ÚÀ±½Ä, °»óÀÍ, ÃÖÀçÈÆ, ÀåÁØÇõ, "À½¼ºÇâ»óÀ» À§ÇÑ Á¶°Ç »çÈÄ ÃÖ´ë È®·ü±â¹ý ±â¹Ý ÃÖ¼Ò°ª Á¦¾î Àç±ÍÆò±Õ±â¹ý", 6. ±è»ó±Õ, ¼ÛÁöÇö, °»óÀÍ, ÃÖÀçÈÆ, ÀåÁØÇõ, "SMVÄÚµ¦ÀÇ À½¼ºÀ½¾Ç ºÐ·ù ¼º´É Çâ»óÀ» À§ÇÑ support vector machineÀÇ Àû¿ë", 7. ÃÖÀçÈÆ, ¹ÚÀ±½Ä, °»óÀÍ, ±ÝÁ¾¸ð, ÀåÁØÇõ, "±Ù´Ü ¹è°æ ÀâÀ½ ȯ°æ¿¡¼ G.729A À½¼ººÎÈ£È±â ÆÄ¶ó¹ÌÅÍ¿¡ ±â¹ÝÇÑ »õ·Î¿î À½¼º °È ±â¹ý", 8. °»óÀÍ, ¹ÚÀ±½Ä, ¼ÛÁöÇö, ÃÖÀçÈÆ, ÀåÁØÇõ, "À½¼º½ÅÈ£ ±â¹ÝÀÇ ¼ºº°ÀνÄÀ» À§ÇÑ º¯º°Àû °¡ÁßÄ¡ ÇнÀÀÇ Àû¿ë", 9. ¹ÚÀ±½Ä, ¼ÛÁöÇö, °»óÀÍ, ÃÖÀçÈÆ, ÀåÁØÇõ, "ÀâÀ½ Á¦°Å¸¦ À§ÇÑ soft decisionÀ» °áÇÕÇÏ´Â °ÀÎÇÑ minimum statistics ±â¹ý", 10. ÃÖÀçÈÆ, ¹ÚÀ±½Ä, À̰èȯ, À̱ÔÈ£, ±è»ó±Õ, ±ÝÁ¾¸ð, ÀåÁØÇõ, "Mobile VoIP ȯ°æ¿¡¼ À½¼ºÅë½Å ǰÁú ÁöÇ¥¿¡ °üÇÑ ¿¬±¸", 11. À̰èȯ, ¹ÚÀ±½Ä, ¼ÛÁöÇö, °»óÀÍ, ÀåÁØÇõ "ÃÖ¼Ò ºÐ·ù ¿ÀÂ÷ ±â¹ý°ú ¸ÖƼ ¸ð´Þ ½Ã½ºÅÛÀ» ÀÌ¿ëÇÑ °¨Á¤ ÀÎ½Ä ¾Ë°í¸®Áò", 12. À̰èȯ, ¹ÚÀ±½Ä, ¼ÛÁöÇö, °»óÀÍ, ÀåÁØÇõ "ÃÖ¼Ò ºÐ·ù ¿ÀÂ÷ ±â¹ýÀ» ÀÌ¿ëÇÑ º¸À̽º ÇÇ½Ì °ËÃâ ¾Ë°í¸®Áò", Çѱ¹À½ÇâÇÐȸ 13. ¹ÚÀ±½Ä, À̱ÔÈ£, ±ÝÁ¾¸ð, ÀåÁØÇõ, "Minimum statistics¿Í soft decisionÀÇ È®·üÀû °áÇÕÀÇ °ÀÎÇÑ ÀâÀ½ Àü·Â ÃßÁ¤±â¹ý¿¡ °üÇÑ ¿¬±¸", 14. ½ÅÁ¾¿ø, ÁøÀ¯±¤, ÇÑâ¿ì, ÀåÁØÇõ, ±è³²¼ö, "ÀϹÝÈµÈ °¨¸¶ ºÐÆ÷ ¸ðµ¨À» ÀÌ¿ëÇÑ À½¼º °ËÃâ±â", 15. ÃÖÀçÈÆ, ¼ÛÁöÇö, °»óÀÍ, ÀåÁØÇõ, "±Ù´Ü ¹è°æ ÀâÀ½ ȯ°æ¿¡¼ soft decision¿¡ ±â¹ÝÇÑ ¿ø´Ü À½¼º °È ±â¹ý", 16. ¹ÚÁöÈÆ, ±èÈ«±¹, ÀåÁØÇõ, ±è³²¼ö, À庹¼®, À̼º·Î, "ÇØ¾çÅÚ·¹¸Åƽ½º ±¹³»¿Ü ±â¼ú ¹× Ç¥ÁØÈ ÇöȲ", 17. Á¶±ÔÇà, ¹ÚÀ±½Ä, À̰èȯ, ÀåÁØÇõ, ¹Ú½Â¼·, "Åë°èÀû ¸ðµ¨ Ư¡À» ÀÌ¿ëÇÑ SVM ±â¹ÝÀÇ À½¼º °ËÃâ±â", Çѱ¹À½ÇâÇÐȸ Çмú¹ßÇ¥´ëȸ ³í¹®Áý, 18. ¹ÚÀ±½Ä, Á¶±ÔÇà, À̰èȯ, ÀåÁØÇõ, "À½¼ºÇâ»ó¿¡¼ °ÀÎÇÑ A priori SNR ÃßÁ¤Ä¡¿¡ ´ëÇÑ »õ·Î¿î ±â¹ý," Çѱ¹À½ÇâÇÐȸ Çмú¹ßÇ¥´ëȸ
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¡¤ Patent 1. ÀåÁØÇõ, ¹ÚÀ±½Ä, ´ëÇѹα¹Æ¯Çã, ¡°°áÇÕµÈ À½ÇâÇÐÀû ¹ÝÇâ ¹× ¹è°æ ÀâÀ½ Àü·Â¿¡ ±â¹ÝÇÑ À½¼º ó¸® ¹æ¹ý ¹× ÀåÄ¡¡± 2. ÀåÁØÇõ, ÀÌ¿ìÁ¤, ´ëÇѹα¹Æ¯Çã, ¡°ÃÖ¼Ò°ª Á¦¾î À½¼º Á¸Àç ºÎÁ¤È®¼ºÀÇ ÃßÁ¤±â¹ýÀ» ÀÌ¿ëÇÑ À½¼º Çâ»ó ¹æ¹ý¡±, 3. ÀåÁØÇõ, À̱ÔÈ£, ´ëÇѹα¹Æ¯Çã, ¡°Á֯ļö ¿µ¿ª¿¡¼ ±¸°£Á¶°ÇÀ» ÀÌ¿ëÇÑ À½ÇâÇÐÀû ¹ÝÇâ Á¦°Å ¹æ¹ý¡±, 4. ÀåÁØÇõ, ¹ÚÀ±½Ä, ´ëÇѹα¹Æ¯Çã, ¡°Æ®·¢Å· ¿¡ÄÚ-Á¸Àç ºÒÈ®½Ç¼º¿¡ ±âÃÊÇÑ ÀÜ¿© ¹ÝÇâ ¾ïÁ¦ ¹æ¹ý¡±, Ãâ¿ø¹øÈ£ : 10-2009-0079013 5. ÀåÁØÇõ, ±è»ó±Õ, ´ëÇѹα¹Æ¯Çã, ¡°¿¡½ººêÀÌ¿¥ÀÇ ÀԷº¤ÅÍ¿¡ ÃÖÀûÈµÈ °¡ÁßÄ¡¸¦ Àû¿ëÇÏ¿© ¿¡½º¿¥ºêÀÌ ÄÚµ¦ÀÇ À½¼º/À½¾Ç ºÐ·ù 6. ÀåÁØÇõ, ±ÝÁ¾¸ð, ´ëÇѹα¹Æ¯Çã, ¡°À½¼º Çâ»óÀ» À§ÇÑ 2Â÷Á¶°Ç »çÈÄÃÖ´ëÈ®·ü ±â¹Ý ±¤¿ª¿¬ÆÇÁ¤ ¹æ¹ý¡±, 7. ÀåÁØÇõ, ÃÖÀçÈÆ, ´ëÇѹα¹Æ¯Çã, ¡°±Ù´Ü ¹è°æ ÀâÀ½ ȯ°æ¿¡¼ G.729A À½¼ººÎÈ£È±â ÆÄ¶ó¹ÌÅÍ¿¡ ±â¹ÝÇÑ »õ·Î¿î À½¼º °È ±â¹ý¡±, 8. ÀåÁØÇõ, ¼ÛÁöÇö, ´ëÇѹα¹Æ¯Çã, ¡°°¡¿ì½Ã¾È È¥ÇÕ ¸ðµ¨À» ÀÌ¿ëÇÑ 3¼¼´ë ÆÄÆ®³Ê½Ê ÇÁ·ÎÁ§Æ®2ÀÇ ¼±Åà ¸ðµå º¸ÄÚ´õ¸¦
À§ÇÑ 9. ÀåÁØÇõ, À̰èȯ, ´ëÇѹα¹Æ¯Çã ¡°¼±Åà ¸ðµå º¸ÄÚ´õ¿¡ ±âÃÊÇÑ º¸À̽º-ÇÇ½Ì °ËÃâ ¹æ¹ý¡±, 10. ±èÇü°ï, ÀåÁØÇõ, °»óÀÍ, Á¶±ÔÇà, ´ëÇѹα¹Æ¯Çã, ¡°À½¼º°ËÃâ±â ¹× À½¼º °ËÃâ ¹æ¹ý¡±, 11. ÀåÁØÇõ, ¹ÚÀ±½Ä, Á¶±ÔÇà, ´ëÇѹα¹Æ¯Çã, ¡°º¹¼Ò ¶óÇöó½Ã¾È È®·ü ¹Ðµµ ÇÔ¼ö¿¡ ±â¹ÝÇÑ À½¼º Çâ»ó ±â¹ý¡±, 12. ÀåÁØÇõ, À̰èȯ, ¼ÛÁöÇö, ´ëÇѹα¹Æ¯Çã, ¡°À½¼º ¹× À½¾ÇÀ» ½Ç½Ã°£À¸·Î ºÐ·ùÇÏ´Â ¹æ¹ý¡±, 13. ÀåÁØÇõ, ¹ÚÀ±½Ä, ´ëÇѹα¹Æ¯Çã, ¡°ÃÖ¼Ò Åë°è¹ý°ú ¼ÒÇÁÆ® µð½ÃÀü¹ýÀ» È®·üÀûÀ¸·Î °áÇÕÇÏ¿© ÀâÀ½ Àü·ÂÀ» ÃßÁ¤ÇÏ´Â ¹æ¹ý¡±, 14. ÀåÁØÇõ, Á¶±ÔÇà, ´ëÇѹα¹Æ¯Çã, ¡°¼Æ÷Æ® º¤ÅÍ ¸Ó½ÅÀÇ È®·ü Ãâ·ÂÀ» ÀÌ¿ëÇÑ À½¼º Çâ»ó ¹æ¹ý¡±, 15. ÀåÁØÇõ, ±è»ó±Õ, ´ëÇѹα¹Æ¯Çã, ¡°¼Æ÷Æ® º¤ÅÍ ¸Ó½ÅÀ» ÀÌ¿ëÇÑ ¼±Åà ¸ðµå º¸ÄÚ´õ ÄÚµ¦ÀÇ À½¼º ¹×
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