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| Speculative branch folding for pipelined processors Park, SH; Yu, S; Cho, Jung Wan, IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, v.E88D, no.5, pp.1064 - 1066, 2005-05 |
| Speculative branch folding for pipelined processors Park S.-H.; Yu S.; Cho, Jung Wan, IEICE Transactions on Information and Systems, no.5, pp.1064 - 1066 |
| Speculative incentives to hoard aluminum: Relationship between capital gains and inventories Kim, Soohyeon; Kim, Jihyo; Heo, Eunnyeong, RESOURCES POLICY, v.70, 2021-03 |
| Speculative incoherent cache protocols Huh, Jaehyuk; Burger, D; Chang, JC; Sohi, GS, IEEE MICRO, v.24, no.6, pp.104 - 109, 2004 |
| Speculative loop pipelining in automatic binary translation for hardware acceleration = 하드웨어 가속을 위한 자동 이진 변환에서의 추론적 루프 파이프라이닝link Oh, Se-jong; 오세종; et al, 한국과학기술원, 2008 |
| Speculative loop-pipelining in binary translation for hardware acceleration Oh, S; Kim, Tag-Gon; Cho, J; Bozorgzadeh, E, IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, v.27, pp.409 - 422, 2008-03 |
| Spee/Area/Power Trade-Off in the Merged-DRAM-Logic (System-on-Chip) for Real-Time Signal Processing Kim, Lee-Sup; Chang, S, International Conference on Information Systems Analysis and Synthesis, 2001 |
| Speech and music pitch trajectory classification using recurrent neural networks for monaural speech segregation Kim, Han-Gyu; Jang, Gil-Jin; Oh, Yung-Hwan; Choi, Ho-Jin, JOURNAL OF SUPERCOMPUTING, v.76, no.10, pp.8193 - 8213, 2020-10 |
| Speech animation synthesis based on a Korean co-articulation model = 한국어 동시조음 모델에 기반한 스피치 애니메이션 생성link Jang, Junyong; Noh, Junyong; et al, 한국과학기술원, 2020 |
| Speech Animation with Multilevel Control Lee, SonOu; Moon, BooHee; Wohn, Kwang-Yun, International Conference on Virtual Systems and Multimedia, pp.231 - 237, 1996 |
| Speech command recognition using capsule network = 캡슐 네트워크를 이용한 음성 단어 인식 시스템link Bae, Jaesung; 배재성; et al, 한국과학기술원, 2019 |
| Speech Data Collection for Korean Speech Recognition 박종렬; 권오욱; 김도영; 최인정; 정호영; 은종관, 한국음향학회지, v.14, no.4, pp.74 - 81, 1995-10 |
| Speech Emotion Classification Using Tree-Structured Sparse Logistic Regression Kim, Myung Jong; Yoo, Joo Hong; Kim, Young Gwan; Kim, Hoi Rin, Interspeech 2015, pp.1541 - 1545, International Speech Communication Association (ISCA), 2015-09-08 |
| Speech emotion recognition in noisy environments using adaptive comb filtering and feature vector classification = 적응 콤 필터링과 특징 벡터 분류 기법을 이용한 잡음 환경에서의 음성 감정 인식link Park, Jeong-Sik; 박정식; et al, 한국과학기술원, 2010 |
| Speech emotion recognition separately from voiced and unvoiced sound for emotional interaction robot Kim E.H.; Hyun K.H.; Kim S.H.; Kwak, Yoon Keun, 2008 International Conference on Control, Automation and Systems, ICCAS 2008, pp.2014 - 2019, 123, 2008-10-14 |
| Speech Emotion Recognition using Committee Machine Realized by Recurrent Neural Network Cho, MH; Lee, Soo-Young, International Symposium on Artificial Brain with Emotion Learning, pp.0 - 0, 2006-08-24 |
| Speech emotion recognition using eigen-FFT in clean and noisy environments Eun H.K.; Kyung H.H.; Soo H.K.; Kwak, Yoon Keun, 16th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN, pp.689 - 694, 123, 2007-08-26 |
| Speech emotion recognition via a max-margin framework incorporating a loss function based on the Watson and Tellegen's emotion model Yun, S.; Yoo, Chang Dong, 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009, pp.4169 - 4172, IEEE, 2009-04-19 |
| Speech enhancement and coding at medium-low rates = 음질 향상 및 중대역에서의 음성 부호화에 관한 연구link Cho, Dong-Ho; 조동호; et al, 한국과학기술원, 1985 |
| Speech enhancement based on speech/noise-dominant decision Yoon, S; Yoo, Chang Dong, IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, v.E85D, no.4, pp.744 - 750, 2002-04 |
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