메뉴 건너뛰기




Volumn , Issue , 2010, Pages 229-232

Dual-channel speech enhancement based on stochastic optimization strategies

Author keywords

Learning based particle swarm optimization (LPSO); Speech enhancement; Standard particle swarm optimization (SPSO)

Indexed keywords

DUAL CHANNEL; DYNAMIC SEARCH; KNOWLEDGE LEARNING; LEARNING-BASED PARTICLE SWARM OPTIMIZATION (LPSO); MULTI-SWARMS; NORMALIZED LEAST MEAN SQUARE; NOVEL ALGORITHM; RANDOMIZED SEARCH; STOCHASTIC OPTIMIZATION ALGORITHM; STOCHASTIC OPTIMIZATION STRATEGIES;

EID: 78650264437     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISSPA.2010.5605533     Document Type: Conference Paper
Times cited : (10)

References (8)
  • 1
    • 0018642851 scopus 로고
    • Enhancement and bandwidth compression of noisy speech
    • J. S. Lim, A. V. Oppenheim "Enhancement and bandwidth compression of noisy speech," in proc. IEEE, vol.67, no 12, 1979, 1586-1604.
    • (1979) Proc. IEEE , vol.67 , Issue.12 , pp. 1586-1604
    • Lim, J.S.1    Oppenheim, A.V.2
  • 5
    • 55749085065 scopus 로고    scopus 로고
    • Nearest neighbor evolutionary algorithm for constrained optimization problem
    • Hong Kong, June
    • Zh. Yu, D. Wang, and H. Wong, "Nearest Neighbor Evolutionary Algorithm for Constrained Optimization Problem," in Proc. IEEE World Congress on Computational Inteligence, Hong Kong, pp. 2335-2342, June 2008.
    • (2008) Proc. IEEE World Congress on Computational Inteligence , pp. 2335-2342
    • Yu, Zh.1    Wang, D.2    Wong, H.3
  • 6
    • 33947667509 scopus 로고    scopus 로고
    • Subjective comparison of speech enhancement algorithms
    • Toulouse, France, May
    • Y. Hu, and P. Loizou, "Subjective comparison of speech enhancement algorithms," in Proc. ICASSP, vol. I, Toulouse, France, May 2006, pp. 153-156.
    • (2006) Proc. ICASSP , vol.1 , pp. 153-156
    • Hu, Y.1    Loizou, P.2
  • 7
    • 78650294466 scopus 로고    scopus 로고
    • http://www.speech.cs.cmu.edu/comp.speech/Section1/DatainOlsex


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.