메뉴 건너뛰기




Volumn , Issue , 2014, Pages 2779-2783

A keyword-boosted SMBR criterion to enhance keyword search performance in deep neural network based acoustic modeling

Author keywords

Deep neural network; Discriminative training; Keyword search; Keyword spotting; Spoken term detection

Indexed keywords

SOFTWARE TESTING; SPEECH COMMUNICATION;

EID: 84910089557     PISSN: 2308457X     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (9)

References (21)
  • 7
    • 0022890536 scopus 로고
    • Maximum mutual information estimation of hidden markov model parameters for speech recognition
    • Tokyo
    • L. R. Bahl, P. F. Brown, P. V. d. Souza, and R. L. Mercer, "Maximum Mutual Information Estimation of Hidden Markov Model Parameters for Speech Recognition, " in Proc. ICASSP, Tokyo, 1986.
    • (1986) Proc. ICASSP
    • Bahl, L.R.1    Brown, P.F.2    Souza, P.V.D.3    Mercer, R.L.4
  • 10
    • 0036296863 scopus 로고    scopus 로고
    • Minimum phone error and I-smoothing for improved discriminative training
    • D. Povey and P. C. Woodland, "Minimum Phone Error and I-smoothing for improved discriminative training, " in ICASSP, 2002, pp. 105-108.
    • (2002) ICASSP , pp. 105-108
    • Povey, D.1    Woodland, P.C.2
  • 11
    • 70349213445 scopus 로고    scopus 로고
    • Lattice-based optimization of sequence classification criteria for neural-network acoustic modeling
    • B. Kingsbury, "LATTICE-BASED OPTIMIZATION OF SEQUENCE CLASSIFICATION CRITERIA FOR NEURAL-NETWORK ACOUSTIC MODELING, " in Proc. ICASSP, 2009.
    • (2009) Proc. ICASSP
    • Kingsbury, B.1
  • 12
    • 84890498743 scopus 로고    scopus 로고
    • Adaptive boosted non-uniform MCE for keyword spotting on spontaneous speech
    • C. Weng and B.-H. Juang, "ADAPTIVE BOOSTED NON-UNIFORM MCE FOR KEYWORD SPOTTING ON SPONTANEOUS SPEECH, " in Proc. ICASSP, 2013.
    • (2013) Proc. ICASSP
    • Weng, C.1    Juang, B.-H.2
  • 13
    • 84906274730 scopus 로고    scopus 로고
    • Sequence-discriminative traning of deep neural networks
    • Lyon, France
    • K. Vesely, A. Ghoshal, L. Burget, and D. Povey, "Sequence-discriminative traning of deep neural networks, " in Proc. Interspeech, Lyon, France, 2013.
    • (2013) Proc. Interspeech
    • Vesely, K.1    Ghoshal, A.2    Burget, L.3    Povey, D.4
  • 14
    • 44949182698 scopus 로고    scopus 로고
    • Hypothesis spaces for minimum bayes risk training in large vocabulary speech recognition
    • M. Gibson and T. Hain, "Hypothesis Spaces for Minimum Bayes Risk Training in Large Vocabulary Speech Recognition, " in Proc. Interspeech, 2006.
    • (2006) Proc. Interspeech
    • Gibson, M.1    Hain, T.2
  • 15
    • 84910066600 scopus 로고    scopus 로고
    • BABEL Program. Available: Http://www.iarpa.gov/Programs/ia/Babel/babel.html.
    • BABEL Program
  • 20
    • 84912082128 scopus 로고    scopus 로고
    • A novel keyword+LVCSR-filler based grammar network representation for spoken keyword search
    • Singapore
    • I.-F. Chen, C. Ni, B. P. Lim, N. F. Chen, and C.-H. Lee, "A Novel Keyword+LVCSR-FIller Based Grammar Network Representation for Spoken Keyword Search, " in Proc. ISCSLP, Singapore, 2014.
    • (2014) Proc. ISCSLP
    • Chen, I.-F.1    Ni, C.2    Lim, B.P.3    Chen, N.F.4    Lee, C.-H.5
  • 21
    • 84893708507 scopus 로고    scopus 로고
    • The tao of ATWV: Probing the mysteries of keyword search performance
    • Olomouc, Czech Republic
    • S. Wegmann, A. Faria, A. Janin, K. Riedhammer, and N. Morgan, "THE TAO OF ATWV: PROBING THE MYSTERIES OF KEYWORD SEARCH PERFORMANCE, " in Proc. ASRU, Olomouc, Czech Republic, 2013, pp. 192-197.
    • (2013) Proc. ASRU , pp. 192-197
    • Wegmann, S.1    Faria, A.2    Janin, A.3    Riedhammer, K.4    Morgan, N.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.