메뉴 건너뛰기




Volumn , Issue , 2014, Pages 3256-3260

Black box optimization for automatic speech recognition

Author keywords

Bayesian optimization; Black box optimization; CMA ES; Gaussian process; Speech recognition

Indexed keywords

COMPLEX NETWORKS; GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); OPTIMIZATION; SIGNAL PROCESSING;

EID: 84905216973     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2014.6854202     Document Type: Conference Paper
Times cited : (29)

References (25)
  • 2
    • 85032751472 scopus 로고    scopus 로고
    • Large-vocabulary continuous speech recognition systems: A look at some recent advances
    • G. Saon and J-T Chien, "Large-vocabulary continuous speech recognition systems: A look at some recent advances," IEEE Signal Processing Magazine, vol. 29, no. 6, pp. 18-33, 2012.
    • (2012) IEEE Signal Processing Magazine , vol.29 , Issue.6 , pp. 18-33
    • Saon, G.1    Chien, J.-T.2
  • 5
    • 85135145174 scopus 로고    scopus 로고
    • Acoustic modeling based on the MDL criterion for speech recognition
    • K. Shinoda and T.Watanabe, "Acoustic modeling based on the MDL criterion for speech recognition," in Proc. Eurospeech, 1997, vol. 1, pp. 99-102.
    • (1997) Proc. Eurospeech , vol.1 , pp. 99-102
    • Shinoda, K.1    Watanabe, T.2
  • 6
    • 84875953283 scopus 로고    scopus 로고
    • Clustering via the Bayesian information criterion with applications in speech recognition
    • S.S. Chen and P. S. Gopalakrishnan, "Clustering via the Bayesian information criterion with applications in speech recognition," in Proc. ICASSP, 1998, vol. 2, pp. 645-648.
    • (1998) Proc. ICASSP , vol.2 , pp. 645-648
    • Chen, S.S.1    Gopalakrishnan, P.S.2
  • 8
    • 70349205593 scopus 로고    scopus 로고
    • An evidence framework for Bayesian learning of continuous-density hidden Markov models
    • Y. Zhang, P. Liu, J.T. Chien, and F. Soong, "An evidence framework for Bayesian learning of continuous-density hidden Markov models," in Proc. ICASSP, 2009, pp. 3857-3860.
    • (2009) Proc. ICASSP , pp. 3857-3860
    • Zhang, Y.1    Liu, P.2    Chien, J.T.3    Soong, F.4
  • 9
    • 0042879997 scopus 로고    scopus 로고
    • Reducing the time complexity of the derandomized evolution strategy with covariance matrix adaptation (CMA-ES)
    • N. Hansen, S. D. Müller, and P. Koumoutsakos, "Reducing the time complexity of the derandomized evolution strategy with covariance matrix adaptation (CMA-ES)," Evolutionary Computation, vol. 11, no. 1, pp. 1-18, 2003.
    • (2003) Evolutionary Computation , vol.11 , Issue.1 , pp. 1-18
    • Hansen, N.1    Müller, S.D.2    Koumoutsakos, P.3
  • 15
    • 0030676559 scopus 로고    scopus 로고
    • Optimization of HMM by a genetic algorithm
    • C. W. Chau, S. Kwong, C. K. Diu, and W. R. Fahrner, "Optimization of HMM by a genetic algorithm," in Proc. ICASSP, 1997, vol. 3, pp. 1727-1730.
    • (1997) Proc. ICASSP , vol.3 , pp. 1727-1730
    • Chau, C.W.1    Kwong, S.2    Diu, C.K.3    Fahrner, W.R.4
  • 16
    • 0034825617 scopus 로고    scopus 로고
    • Optimisation of HMM topology and its model parameters by genetic algorithms
    • S. Kwong, C. W. Chau, K. F. Man, and K. S. Tang, "Optimisation of HMM topology and its model parameters by genetic algorithms," Pattern Recognition, vol. 34, no. 2, pp. 509-522, 2001.
    • (2001) Pattern Recognition , vol.34 , Issue.2 , pp. 509-522
    • Kwong, S.1    Chau, C.W.2    Man, K.F.3    Tang, K.S.4
  • 17
    • 77957933139 scopus 로고    scopus 로고
    • Comparison of particle swarm optimization and genetic algorithm for HMM training
    • F. Yang, C. Zhang, and T. Sun, "Comparison of particle swarm optimization and genetic algorithm for HMM training," in Proc. ICPR, 2008, pp. 1-4.
    • (2008) Proc. ICPR , pp. 1-4
    • Yang, F.1    Zhang, C.2    Sun, T.3
  • 18
    • 84890527827 scopus 로고    scopus 로고
    • Improving deep neural networks for LVCSR using rectified linear units and dropout
    • G. E. Dahl, T. N. Sainath, and G. E. Hinton, "Improving deep neural networks for LVCSR using rectified linear units and dropout," in Proc. ICASSP, 2013, pp. 8609-8613.
    • (2013) Proc. ICASSP , pp. 8609-8613
    • Dahl, G.E.1    Sainath, T.N.2    Hinton, G.E.3
  • 20
    • 0000396062 scopus 로고    scopus 로고
    • Natural gradient works efficiently in learning
    • S. Amari, "Natural gradient works efficiently in learning," Neural computation, vol. 10, no. 2, pp. 251-276, 1998.
    • (1998) Neural Computation , vol.10 , Issue.2 , pp. 251-276
    • Amari, S.1
  • 25
    • 84905216003 scopus 로고    scopus 로고
    • Deep recurrent de-noising auto-encoder and blind de-reverberation for reverberated speech recognition
    • F.Weninger, S.Watanabe, Y. Tachioka, and B. Schuller, "Deep recurrent de-noising auto-encoder and blind de-reverberation for reverberated speech recognition," in Proc. ICASSP, 2014, (accepted).
    • (2014) Proc. ICASSP
    • Weninger, F.1    Watanabe, S.2    Tachioka, Y.3    Schuller, B.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.