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Volumn , Issue , 2009, Pages 3805-3808

Data sampling based ensemble acoustic modelling

Author keywords

Acoustic modeling; Cross validation; Data sampling; Ensemble classifier; Hierarchical mixture ensemble

Indexed keywords

ACOUSTIC MODELING; CROSS VALIDATION; DATA SAMPLING; ENSEMBLE CLASSIFIER; HIERARCHICAL MIXTURE ENSEMBLE;

EID: 70349218140     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2009.4960456     Document Type: Conference Paper
Times cited : (10)

References (12)
  • 1
    • 0030638031 scopus 로고    scopus 로고
    • A post-processing system to yield reduced word error rates: Recognizer Output Voting Error Reduction (ROVER)
    • J. G. Fiscus, "A post-processing system to yield reduced word error rates: Recognizer Output Voting Error Reduction (ROVER)", Proc. IEEE ASRU Workshop, pp. 347-352, 1997.
    • (1997) Proc. IEEE ASRU Workshop , pp. 347-352
    • Fiscus, J.G.1
  • 2
    • 33646818291 scopus 로고    scopus 로고
    • Constructing ensembles of ASR systems using randomized decision trees
    • I-200
    • O. Siohan, B. Ramabhadran and B. Kingsbury, "Constructing ensembles of ASR systems using randomized decision trees," Proc. ICASSP, pp. I-197 - I-200, 2005.
    • (2005) Proc. ICASSP
    • Siohan, O.1    Ramabhadran, B.2    Kingsbury, B.3
  • 3
    • 33745214897 scopus 로고    scopus 로고
    • Investigations on ensemble based semisupervised acoustic model training
    • R. Zhang, et al., "Investigations on ensemble based semisupervised acoustic model training," Proc. EuroSpeech, pp. 1677-1680, 2005.
    • (2005) Proc. EuroSpeech , pp. 1677-1680
    • Zhang, R.1
  • 4
    • 51549086717 scopus 로고    scopus 로고
    • Random forests of phonetic decision trees for acoustic modeling in conversational speech recognition
    • J. Xue, Y. Zhao, "Random forests of phonetic decision trees for acoustic modeling in conversational speech recognition," IEEE Trans. SAP, vol.16, iss. 3, pp. 519-528, 2008.
    • (2008) IEEE Trans. SAP , vol.16 , Issue.ISS. 3 , pp. 519-528
    • Xue, J.1    Zhao, Y.2
  • 6
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • L. Breiman "Random forests," Mach. Learn., vol. 45, pp.5-32, 2001.
    • (2001) Mach. Learn , vol.45 , pp. 5-32
    • Breiman, L.1
  • 7
    • 34547534396 scopus 로고    scopus 로고
    • Cross-validation EM training for robust parameter estimation
    • Hawaii
    • T. Shinozaki, M. Ostendorf, "Cross-validation EM training for robust parameter estimation," Proc. ICASSP, vol. IV, pp. 437-440, Hawaii, 2007.
    • (2007) Proc. ICASSP , vol.4 , pp. 437-440
    • Shinozaki, T.1    Ostendorf, M.2
  • 9
    • 70349214261 scopus 로고    scopus 로고
    • U.K
    • HTK Toolkit, U.K. http://htk.eng.cam.ac.
  • 10
    • 70349220336 scopus 로고    scopus 로고
    • Ensemble methods in large vocabulary continuous speech recognition,
    • Master thesis, University of Missouri
    • X. Chen, "Ensemble methods in large vocabulary continuous speech recognition," Master thesis, University of Missouri, 2008.
    • (2008)
    • Chen, X.1
  • 11
    • 37249033137 scopus 로고    scopus 로고
    • A. Hung-Ren Ko, et al., A new HMM based ensemble generation method for numerical recognition, MCS workshop, pp. 52-61, 2007.
    • A. Hung-Ren Ko, et al., "A new HMM based ensemble generation method for numerical recognition," MCS workshop, pp. 52-61, 2007.
  • 12
    • 33947715150 scopus 로고    scopus 로고
    • An automatic captioning system for telemedicine
    • I-960
    • Y. Zhao, et al., "An automatic captioning system for telemedicine," Proc. ICASSP, pp. I-957 - I-960, 2006.
    • (2006) Proc. ICASSP
    • Zhao, Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.