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Yung-Hwan Oh
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2020 – today
- 2024
- [j26]Jonghwan Hyeon, Yung-Hwan Oh, Young-Jun Lee, Ho-Jin Choi:
Improving speech emotion recognition by fusing self-supervised learning and spectral features via mixture of experts. Data Knowl. Eng. 150: 102262 (2024) - 2020
- [j25]Han-Gyu Kim, Gil-Jin Jang, Yung-Hwan Oh, Ho-Jin Choi
:
Speech and music pitch trajectory classification using recurrent neural networks for monaural speech segregation. J. Supercomput. 76(10): 8193-8213 (2020)
2010 – 2019
- 2015
- [j24]Dong-jin Choi
Unsupervised rapid speaker adaptation based on selective eigenvoice merging for user-specific voice interaction. Eng. Appl. Artif. Intell. 40: 95-102 (2015) - 2014
- [i1]Gil-Jin Jang, Han-Gyu Kim, Yung-Hwan Oh:
Audio Source Separation Using a Deep Autoencoder. CoRR abs/1412.7193 (2014) - 2013
- [j23]Han-Gyu Kim, Gil-Jin Jang, Jeong-Sik Park, Ji-Hwan Kim, Yung-Hwan Oh:
Particle filtering based pitch sequence correction for monaural speech segregation. Int. J. Imaging Syst. Technol. 23(1): 64-70 (2013) - [c34]Han-Gyu Kim, Gil-Jin Jang, Jeong-Sik Park, Yung-Hwan Oh:
Monaural speech segregation based on pitch track correction using an ensemble kalman filter. INTERSPEECH 2013: 813-816 - 2012
- [j22]Jae-Bok Kim, Jeong-Sik Park, Yung-Hwan Oh:
Speaker-Characterized Emotion Recognition using Online and Iterative Speaker Adaptation. Cogn. Comput. 4(4): 398-408 (2012) - [j21]Kyungmi Park, Jeong-Sik Park, Jae-Hyun Bae, Yung-Hwan Oh:
Online speaker diarization for Multimedia Data Retrieval on Mobile Devices. Int. J. Pattern Recognit. Artif. Intell. 26(8) (2012) - [c33]Han-Gyu Kim, Jeong-Sik Park, Gil-Jin Jang, Yung-Hwan Oh:
Particle filtering by sigmoidal weight update for speech pitch correction. SMC 2012: 2574-2579 - 2011
- [c32]Jae-Bok Kim, Jeong-Sik Park, Yung-Hwan Oh:
On-line speaker adaptation based emotion recognition using incremental emotional information. ICASSP 2011: 4948-4951 - 2010
- [j20]Kyungmi Park, Jeong-Sik Park, Yung-Hwan Oh:
GMM adaptation based online speaker segmentation for spoken document retrieval. IEEE Trans. Consumer Electron. 56(2): 1123-1129 (2010)
2000 – 2009
- 2009
- [j19]Jeong-Sik Park, Ji-Hwan Kim, Yung-Hwan Oh:
Feature vector classification based speech emotion recognition for service robots. IEEE Trans. Consumer Electron. 55(3): 1590-1596 (2009) - 2008
- [j18]Gue Jun Jung, Yung-Hwan Oh:
Information Distance-Based Subvector Clustering for ASR Parameter Quantization. IEEE Signal Process. Lett. 15: 209-212 (2008) - [c31]Jeong-Sik Park, Ji-Hwan Kim, Sang-Min Yoon, Yung-Hwan Oh:
Speaker-independent emotion recognition based on feature vector classification. INTERSPEECH 2008: 2775-2778 - [c30]Sang-Min Yoon, Kyungmi Park, Jae-Hyun Bae, Yung-Hwan Oh:
Feature vector classification by threshold for speaker identification. Odyssey 2008: 6 - 2007
- [c29]Cue Jun Jung, Hoon-Young Cho
Data-Driven Subvector Clustering using the Cross-Entropy Method. ICASSP (4) 2007: 977-980 - 2006
- [j17]Joon-Ki Choi, Yung-Hwan Oh:
N-gram Adaptation with Dynamic Interpolation Coefficient Using Information Retrieval Technique. IEICE Trans. Inf. Syst. 89-D(9): 2579-2582 (2006) - 2005
- [c28]Dong-jin Choi, Yung-Hwan Oh:
Rapid speaker adaptation for continuous speech recognition using merging eigenvoices. INTERSPEECH 2005: 297-300 - 2004
- [j16]Heo-Jin Byeon, Yung-Hwan Oh:
An event-driven f0 weighting for prosody control in a large corpus-based TTS system. IEEE Signal Process. Lett. 11(2): 262-265 (2004) - [j15]Hoon-Young Cho
On the use of channel-attentive MFCC for robust recognition of partially corrupted speech. IEEE Signal Process. Lett. 11(6): 581-584 (2004) - [c27]Gue Jun Jung, Su-Hyun Kim, Yung-Hwan Oh:
An efficient codebook design in SDCHMM for mobile communication environments. INTERSPEECH 2004: 713-716 - [c26]Gil-Jin Jang, Changkyu Choi, Yongbeom Lee, Yung-Hwan Oh:
Adaptive cross-channel interference cancellation on blind signal separation outputs using source absence/presence detection and spectral subtraction. INTERSPEECH 2004: 2865-2868 - 2003
- [j14]Eun-Kyoung Kim, Woojin Han
A score function of splitting band for two-band speech model. Speech Commun. 41(4): 663-674 (2003) - [j13]Gil-Jin Jang, Te-Won Lee, Yung-Hwan Oh:
Single-channel signal separation using time-domain basis functions. IEEE Signal Process. Lett. 10(6): 168-171 (2003) - [c25]Gil-Jin Jang, Te-Won Lee, Yung-Hwan Oh:
A subspace approach to single channel signal separation using maximum likelihood weighting filters. ICASSP (5) 2003: 45-48 - 2002
- [j12]Gil-Jin Jang, Te-Won Lee, Yung-Hwan Oh:
Learning statistically efficient features for speaker recognition. Neurocomputing 49(1-4): 329-348 (2002) - [j11]Young-Sun Yun, Yung-Hwan Oh:
A segmental-feature HMM for continuous speech recognition based on a parametric trajectory model. Speech Commun. 38(1-2): 115-130 (2002) - [j10]Woojin Han
Multicodebook split vector quantization of LSF parameters. IEEE Signal Process. Lett. 9(12): 418-421 (2002) - 2001
- [j9]Sangho Lee, Yung-Hwan Oh:
Tree-based modeling of intonation. Comput. Speech Lang. 15(1): 75-98 (2001) - [j8]Eun-Kyoung Kim, Woojin Han
A new band-splitting method for two-band speech model. IEEE Signal Process. Lett. 8(12): 317-320 (2001) - [c24]Gil-Jin Jang, Te-Won Lee, Yung-Hwan Oh:
Learning statistically efficient features for speaker recognition. ICASSP 2001: 437-440 - 2000
- [j7]Ha-Jin Yu, Yung-Hwan Oh:
A neural network for 500 word vocabulary word spotting using non-uniform units. Neural Networks 13(6): 681-688 (2000) - [j6]Young-Sun Yun, Yung-Hwan Oh:
A segmental-feature HMM for speech pattern modeling. IEEE Signal Process. Lett. 7(6): 135-137 (2000) - [j5]Sangho Lee, Yeon-Jun Kim, Yung-Hwan Oh:
A vector-regression tree for generating energy contours. IEEE Signal Process. Lett. 7(8): 216-218 (2000) - [c23]Young-Sun Yun, Yung-Hwan Oh:
A segmental-feature HMM using parametric trajectory model. ICASSP 2000: 1249-1252 - [c22]Eun-Kyoung Kim, Yung-Hwan Oh:
New analysis method for harmonic plus noise model based on time-domain periodicity score. INTERSPEECH 2000: 275-278 - [c21]Jae-Hyun Bae, Heo-Jin Byeon, Yung-Hwan Oh:
Speech quality improvement in TTS system using ABS/OLA sinusoidal model. INTERSPEECH 2000: 905-908 - [c20]Su-Hyun Kim, Gil-Jin Jang, Yung-Hwan Oh:
Improvement of speaker recognition system by individual information weighting. INTERSPEECH 2000: 1017-1020
1990 – 1999
- 1999
- [j4]Sangho Lee, Yung-Hwan Oh:
Tree-based modeling of prosodic phrasing and segmental duration for Korean TTS systems. Speech Commun. 28(4): 283-300 (1999) - [j3]Seong-Jin Yun, Yung-Hwan Oh:
Stochastic lexicon modeling for speech recognition. IEEE Signal Process. Lett. 6(2): 28-30 (1999) - [c19]Yeon-Jun Kim, Heo-Jin Byeon, Yung-Hwan Oh:
Prosodic phrasing in korean, determine governor, and then split or not. EUROSPEECH 1999: 539-542 - [c18]Gil-Jin Jang, Seong-Jin Yun, Yung-Hwan Oh:
Feature vector transformation using independent component analysis and its application to speaker identification. EUROSPEECH 1999: 767-770 - 1998
- [j2]Hwan Jin Choi, Sung Jin Yun, Yung-Hwan Oh:
Robust estimation of discrete hidden Markov model parameters using the entropy-based feature-parameter weighting and source-quantization modeling. Artif. Intell. Eng. 12(3): 243-252 (1998) - [c17]Ji-Hwan Kim, Gil-Jin Jang, Seong-Jin Yun, Yung-Hwan Oh:
Candidate selection based on significance testing and its use in normalisation and scoring. ICSLP 1998 - [c16]Sung-Joo Kim, Sangho Lee, Woo-Jin Han, Yung-Hwan Oh:
Efficient quantization of LSF parameters based on temporal decomposition. ICSLP 1998 - [c15]Hoon-Young Cho, Sang-Mun Chi, Yung-Hwan Oh:
A Robust Front-End for Telephone Speech Recognition. PRICAI 1998: 636-644 - 1997
- [c14]Heo-Jin Byeon, Yeon-Jun Kim, Yung-Hwan Oh:
Generation of F0 contour using stochastic mapping and vector quantization control parameters. ICASSP 1997: 939-942 - [c13]Seong-Jin Yun, Yung-Hwan Oh, Gyung-Chul Shin:
Improved lexicon modeling for continuous speech recognition. ICASSP 1997: 1827-1830 - [c12]Ha-Jin Yu, Yung-Hwan Oh:
A neural network for 500 vocabulary word spotting using acoustic sub-word units. ICASSP 1997: 3277-3280 - [c11]Woo-Jin Han, Sung-Joo Kim, Yung-Hwan Oh:
Mixed multi-band excitation coder using frequency domain mixture function (FDMF) for a low-bit rate speech coding. EUROSPEECH 1997: 1311-1314 - [c10]Eun-Kyoung Kim, Sangho Lee, Yung-Hwan Oh:
Hidden Markov model based voice conversion using dynamic characteristics of speaker. EUROSPEECH 1997: 2519-2522 - 1996
- [c9]Hwan Jin Choi, Yung-Hwan Oh:
Speech recognition using an enhanced FVQ based on a codeword dependent distribution normalization and codeword weighting by fuzzy objective function. ICSLP 1996: 354-357 - [c8]Ha-Jin Yu, Yung-Hwan Oh:
A neural network using acoustic sub-word units for continuous speech recognition. ICSLP 1996: 506-509 - [c7]Yeon-Jun Kim, Yung-Hwan Oh:
Prediction of prosodic phrase boundaries considering variable speaking rate. ICSLP 1996: 1505-1508 - [c6]Sangho Lee, Yung-Hwan Oh:
A text analyzer for Korean text-to-speech systems. ICSLP 1996: 1692-1695 - [c5]Sang-Mun Chi, Yung-Hwan Oh:
Lombard effect compensation and noise suppression for noisy Lombard speech recognition. ICSLP 1996: 2013-2016 - 1995
- [c4]Ha-Jin Yu, Sung-Joo Kim, Yung-Hwan Oh:
Estimating Fuzzy Phoneme Similarity Relations for Continuous Speech Recognition. IEA/AIE 1995: 665-671 - [c3]Ha-Jin Yu, Yung-Hwan Oh:
A neural network using non-uniform units for continuous speech recognition. EUROSPEECH 1995: 1677-1680 - 1994
- [c2]Seong-Jin Yun, Yung-Hwan Oh:
Performance improvement of speaker recognition system for small training data. ICSLP 1994: 1863-1866 - [c1]Sung-Joo Kim, Seung-Jong Park
Complexity reduction methods for vector sum excited linear prediction coding. ICSLP 1994: 2071-2074 - 1993
- [j1]Hwan Jin Choi, Yung-Hwan Oh:
Isolated Korean Words Recognition Using Partially Connected Neural Networks and a Contextual Net. J. Intell. Fuzzy Syst. 1(4): 279-293 (1993)
Coauthor Index
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