| 1 | A neural network for 500 word vocabulary word spotting using non-uniform units Yu, HJ; Oh, Yung-Hwan, NEURAL NETWORKS, v.13, no.6, pp.681 - 688, 2000-07 |
| 2 | A segmental-feature HMM for continuous speech recognition based on a parametric trajectory model Yun, YS; Oh, Yung-Hwan, SPEECH COMMUNICATION, v.38, no.1-2, pp.115 - 130, 2002-09 |
| 3 | A segmental-feature HMM for speech pattern modeling Yun, YS; Oh, Yung-Hwan, IEEE SIGNAL PROCESSING LETTERS, v.7, no.6, pp.135 - 137, 2000-06 |
| 4 | (A) model of masking as a front-end for the robust speech recognition = 잡음 둔감한 음성 인식을 위한 마스킹 모델link Park, Ki-Young; 박기영; et al, 한국과학기술원, 2003 |
| 5 | Acoustic Model Combination Incorporated With Mask-Based Multi-Channel Source Separation for Automatic Speech Recognition Yoon, JS; Park, JH; Kim, HK; Kim, HoiRin, IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, v.4, no.5, pp.772 - 784, 2010-10 |
| 6 | An MLP/HMM hybrid model using nonlinear predictors Chung, YJ; Un, Chong-Kwan, SPEECH COMMUNICATION, v.19, no.4, pp.307 - 316, 1996-10 |
| 7 | Auditory model for robust speech recognition in real world noisy environments Kim, DS; Lee, Soo-Young; Kil, Rhee Man; Zhu, XL, ELECTRONICS LETTERS, v.33, no.1, pp.12 - 13, 1997-01 |
| 8 | Automatic intelligibility assessment and recognition of dysarthric speech using phonetic variations = 발음변이 정보를 이용한 마비말장애 음성의 명료도 평가 및 인식에 관한 연구link Kim, Myung-Jong; 김명종; et al, 한국과학기술원, 2016 |
| 9 | Automatic speech recognition using semi-markov model and deep neural network = 준마르코프 모델과 깊은 신경망을 이용한 음성인식 시스템의 개발link Kim, Tae-Ho; 김태호; et al, 한국과학기술원, 2015 |
| 10 | Cepstral Domain Feature Extraction Utilizing Entropic Distance-Based Filterbank Suh, Young Joo; Kim, HoiRin, IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, v.E93D, no.2, pp.392 - 394, 2010-02 |
| 11 | Dynamic weighting scheme based N-gram adaptation for large vocabulary continuous speech recognition = 동적 가중법에 기반한 N-gram 적응을 이용한 대어휘 연속음성인식link Choi, Joon-Ki; 최준기; et al, 한국과학기술원, 2006 |
| 12 | Efficient harmonic peak detection of vowel sounds for enhanced voice activity detection Kim, Juntae; Jung, Sung Hoon; Cho, Kwang-Hyun, IET SIGNAL PROCESSING, v.12, no.8, pp.975 - 982, 2018-10 |
| 13 | Eigenvoice reconstruction for rapid speaker adaptation = Eigenvoice 재구성 기법을 이용한 고속 화자 적응link Choi, Dong-Jin; 최동진; et al, 한국과학기술원, 2010 |
| 14 | Energy-Efficient Floating-Point MFCC Extraction Architecture for Speech Recognition Systems Jo, Jihyuck; Yoo, Hoyoung; Park, In-Cheol, IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS, v.24, no.2, pp.754 - 758, 2016-02 |
| 15 | Feature extraction based on auditory representations for robust speech recognition Kim, DS; Lee, Soo-Young; Kil, Rhee Man; Zhu, XL, ELECTRONICS LETTERS, v.33, pp.15 - 16, 1997 |
| 16 | FPGA Implementation of ICA Algorithm for Blind Signal Separation and Active Noise Canceling Kim, Chang-Min; Park, Hyung-Min; Kim, Taesu; Choi, Yoon-Kyung; Lee, Soo-Young, IEEE TRANSACTIONS ON NEURAL NETWORKS, v.14, no.5, pp.1038 - 1046, 2003-09 |
| 17 | Frame Decorrelation for Noise-Robust Speech Recognition H.Y.Jung; D.Y.Kim; C.K.Un, ELECTRONICS LETTERS, v.32, no.13, pp.1163 - 1164, 1996-06 |
| 18 | L1-MAP 기법을 이용한 Subspace Gaussian Mixture Model에서의 화자 적응 = L1-MAP-based speaker adaptation of subspace gaussian mixture modellink 구자현; Goo, Jahyun; et al, 한국과학기술원, 2015 |
| 19 | Learning Self-Informed Feature Contribution for Deep Learning-Based Acoustic Modeling Kim, Younggwan; Kim, Myungjong; Goo, Jahyun; Kim, Hoirin, IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, v.26, no.11, pp.2204 - 2214, 2018-11 |
| 20 | Line Spectral Frequency-based Noise Suppression for Speech-Centric Interface of Smart Devices Jang, Gil-Jin; Park, Jeong-Sik; Kim, Ji-Hwan; Seo, Yong-Ho, ADVANCES IN ELECTRICAL AND COMPUTER ENGINEERING, v.11, no.4, pp.3 - 8, 2011 |
| 21 | Modified Viterbi Scoring for HMM-Based Speech Recognition Jo, Jihyuck; Kim, Han-Gyu; Park, In-Cheol; Jung, Bang Chul; Yoo, Hoyoung, INTELLIGENT AUTOMATION AND SOFT COMPUTING, v.25, no.2, pp.351 - 358, 2019-06 |
| 22 | Multilayer Perceptions for State-Dependent Weithtings of HMM Likelihoods Y J.Chung; C.K.Un, SPEECH COMMUNICATION, v.18, no.1, pp.79 - 89, 1996-01 |
| 23 | N-gram adaptation with dynamic interpolation coefficient using information retrieval technique Choi, JK; Oh, Yung-Hwan, IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, v.E89D, no.9, pp.2579 - 2582, 2006-09 |
| 24 | Noise robust speech recognition using kernel-based top-down selective attention = 커널 기반 하향식 주의집중 모델을 이용한 잡음에 강인한 음성인식link Lee, Chang-Hoon; 이창훈; et al, 한국과학기술원, 2006 |
| 25 | Noise-robust speech recognition using top-down selective attention with an HMM classifier Lee, CH; Lee, Soo-Young, IEEE SIGNAL PROCESSING LETTERS, v.14, pp.489 - 491, 2007-07 |
| 26 | On approximating line spectral frequencies to LPC cepstral coefficients Kim, HK; Choi, SH; Lee, Hwang Soo, IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING, v.8, no.2, pp.195 - 199, 2000-03 |
| 27 | Performance of HMM-based speech recognizers with discriminative state-weights Kwon, OW; Un, Chong-Kwan, SPEECH COMMUNICATION, v.19, no.3, pp.197 - 205, 1996-09 |
| 28 | Probabilistic vector mapping with trajectory information for noise-robust speech recognition D.Y.Kim; C.K.Un, ELECTRONICS LETTERS, v.32, no.17, pp.1550 - 1551, 1996 |
| 29 | Regularized Speaker Adaptation of KL-HMM for Dysarthric Speech Recognition Kim, Myung Jong; Kim, Younggwan; Yoo, Joohong; Wang, Jun; Kim, Hoi-Rin, IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, v.25, no.9, pp.1581 - 1591, 2017-09 |
| 30 | Response time reduction of speech recognizers using single gaussians Jeong, S; Kim, HoiRin; Hahn, Minsoo, IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, v.E90D, no.5, pp.868 - 871, 2007-05 |
| 31 | Robust GSC-based Speech Enhancement for Human Machine Interface Han, S; Hong, J; Jeong, S; Hahn, Minsoo, IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, v.56, pp.965 - 970, 2010-05 |
| 32 | Robust speech recognition using missing data theory = 손실 데이터 이론을 이용한 강인한 음성 인식link Kim, Lag-Young; 김락용; et al, 한국과학기술원, 2002 |
| 33 | Selective Audio Adversarial Example in Evasion Attack on Speech Recognition System Kwon, Hyun; Kim, Yongchul; Yoon, Hyunsoo; Choi, Daeseon, IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, v.15, pp.526 - 538, 2020-01 |
| 34 | Spectral magnitude normalisation and cepstral coefficient transform for noisy-Lombard speech recognition Chi, SM; Oh, Yung-Hwan, ELECTRONICS LETTERS, v.32, no.19, pp.1761 - 1763, 1996-09 |
| 35 | Spectral peak-weighted liftering of cepstral coefficients for speech recognition Kim, HK; Lee, Hwang Soo, IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, v.E83D, no.7, pp.1540 - 1549, 2000-07 |
| 36 | Speech recognition using quantized LSP parameters and their transformations in digital communication Choi, SH; Kim, HK; Lee, Hwang Soo, SPEECH COMMUNICATION, v.30, no.4, pp.223 - 233, 2000-04 |
| 37 | Statistical feature compensation and normalization for speech recognition in noisy environments = 잡음환경에서의 음성인식을 위한 통계적 특징 보상 및 정규화link Suk, Yong-Ho; 석용호; et al, 한국과학기술원, 2000 |
| 38 | The use of acoustic contextual information in HMM-Based speech recognition Choi, IJ; Lee, Soo-Young, IEEE SIGNAL PROCESSING LETTERS, v.5, no.5, pp.108 - 110, 1998-05 |
| 39 | Unified Training of Feature Extractor and HMM Classifier for Speech Recognition Im, Jung-Hui; Lee, Soo-Young, IEEE SIGNAL PROCESSING LETTERS, v.19, no.2, pp.111 - 114, 2012-02 |
| 40 | Use of spectral autocorrelation in spectral envelope linear prediction for speech recognition Kim, HK; Lee, Hwang Soo, IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING, v.7, no.5, pp.533 - 541, 1999-09 |
| 41 | Zero-Crossing-Based Speech Segregation and Recognition for Humanoid Robots An S.J.; Kil, Rhee Man; Kim Y.-I., IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, v.55, no.4, pp.2341 - 2348, 2009 |
| 42 | 가중 훈련을 이용한 화자적응 알고리즘의 성능 향상 = Improvements in speaker adaptation with weighted traininglink 장규철; Jang, Gyu-Cheol; et al, 한국과학기술원, 2003 |
| 43 | 강인한 음성 인식을 위한 음향 채널 보상 알고리즘 = Acoustic channel compensation for robust speech recognitionlink 정소영; Jeong, So-Young; et al, 한국과학기술원, 2003 |
| 44 | 롬바드 효과 보상 필터를 이용한 강인한 특징 추출 방법 = Robust feature extraction using Lombard effect compensation filterlink 우수영; Woo, Soo-Young; et al, 한국과학기술원, 2003 |
| 45 | 시각정보를 이용한 음성인식에서 강인한 성능을 갖는 특징 추출 알고리즘의 개발 = Development of the robust feature extraction method in the visual speech recognition systemlink 심선희; Shim, Sun-Hee; et al, 한국과학기술원, 2002 |
| 46 | 시간축 변환과 가변 프레임률 분석에 기반한 음성인식을 위한 특징 추출법 = A feature extraction method for ASR based on time-scale modification and variable frame rate analysislink 정영숙; Jung, Young-Sook; et al, 한국과학기술원, 2002 |
| 47 | 실세계 응용 가능한 음성 인식 ASIC 칩 = Speech recognition ASIC chip for real world applicationlink 원영걸; Won, Young-Gul; et al, 한국과학기술원, 2001 |
| 48 | 최대 우도화 기법을 이용한 하이브리드 화자 적응 = Hybrid speaker adaptation using maximum likelihood estimationlink 표현아; Pyo, Hyun-A.; et al, 한국과학기술원, 2003 |
| 49 | 확률적 목표 음성 검출을 통한 다채널 입력 기반 음성개선 이영재; 김수환; 한승호; 한민수; 김영일; 정상배, 말소리와 음성과학, v.1, no.3, pp.95 - 102, 2009-09 |
