메뉴 건너뛰기




Volumn 2015-August, Issue , 2015, Pages 4290-4294

Regularization of context-dependent deep neural networks with context-independent multi-task training

Author keywords

deep neural networks; multitask learning; regularization

Indexed keywords

AUDIO SIGNAL PROCESSING; SPEECH COMMUNICATION; SPEECH RECOGNITION;

EID: 84946094751     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2015.7178780     Document Type: Conference Paper
Times cited : (42)

References (30)
  • 1
    • 0028530231 scopus 로고
    • State clustering in hidden Markov model-based continuous speech recognition
    • S. J. Young and P. C. Woodland, "State clustering in hidden Markov model-based continuous speech recognition," Computer Speech &Language, vol. 8, no. 4, pp. 369-383, 1994
    • (1994) Computer Speech &Language , vol.8 , Issue.4 , pp. 369-383
    • Young, S.J.1    Woodland, P.C.2
  • 4
    • 85009078709 scopus 로고
    • CONN: A context dependent neural network for continuous speech recognition
    • H Bourlard, N Morgan, C Wooters, and S Renals, "CONN: a context dependent neural network for continuous speech recognition," in Proc. IEEE ICASSP, 1992, vol. 2, pp. 349-352
    • (1992) Proc. IEEE ICASSP , vol.2 , pp. 349-352
    • Bourlard, H.1    Morgan, N.2    Wooters, C.3    Renals, S.4
  • 6
    • 0030371791 scopus 로고    scopus 로고
    • The 1995 ABBOT LVCSR system for multiple unknown microphones
    • D. Kershaw, T. Robinson, and S. Renals, "The 1995 ABBOT LVCSR system for multiple unknown microphones," in Proc. ICSLP, 1996, pp. 1325-1328
    • (1996) Proc. ICSLP , pp. 1325-1328
    • Kershaw, D.1    Robinson, T.2    Renals, S.3
  • 7
    • 0033709098 scopus 로고    scopus 로고
    • Tandem connectionist feature extraction for conventional HMM systems
    • H. Hermanksy, D.P.W. Ellis, and S. Sharma, "Tandem connectionist feature extraction for conventional HMM systems," in Proc. ICASSP, 2000, pp. 1635-1630
    • (2000) Proc. ICASSP , pp. 1635-1630
    • Hermanksy, H.1    Ellis, D.P.W.2    Sharma, S.3
  • 9
    • 84055222005 scopus 로고    scopus 로고
    • Context-dependent pre-trained deep neural networks for large-vocabulary speech recognition
    • G.E. Dahl, D. Yu, L. Deng, and A. Acero, "Context-dependent pre-trained deep neural networks for large-vocabulary speech recognition," IEEE Transactions on Audio, Speech and Language Processing, vol. 20, no. 1, pp. 30-42,2012
    • (2012) IEEE Transactions on Audio, Speech and Language Processing , vol.20 , Issue.1 , pp. 30-42
    • Dahl, G.E.1    Yu, D.2    Deng, L.3    Acero, A.4
  • 10
    • 84858976070 scopus 로고    scopus 로고
    • Feature engineering in context-dependent deep neural networks for conversational speech transcription
    • F. Seide, G. Li, X. Chen, and D. Yu, "Feature engineering in context-dependent deep neural networks for conversational speech transcription," in Proc. ASRU, 2011
    • (2011) Proc. ASRU
    • Seide, F.1    Li, G.2    Chen, X.3    Yu, D.4
  • 12
    • 84905269216 scopus 로고    scopus 로고
    • Context dependent state tying for speech recognition using deep neural network acoustic models
    • Michiel Bacchiani and David Rybach, "Context dependent state tying for speech recognition using deep neural network acoustic models," in Proc. ICASSP, 2014, pp. 230-234
    • (2014) Proc. ICASSP , pp. 230-234
    • Bacchiani, M.1    Rybach, D.2
  • 13
    • 84905222971 scopus 로고    scopus 로고
    • Standalone training of contextdependent deep neural network acoustic models
    • Florence, Italy
    • C. Zhang and P. C. Woodland, "Standalone training of contextdependent deep neural network acoustic models," in Proc. ICASSP, Florence, Italy, 2014
    • (2014) Proc. ICASSP
    • Zhang, C.1    Woodland, P.C.2
  • 14
    • 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 Proc. ICASSP. IEEE, 2002, vol. I, pp. 105-108
    • (2002) Proc. ICASSP. IEEE , vol.1 , pp. 105-108
    • Povey, D.1    Woodland, P.C.2
  • 15
    • 0031189914 scopus 로고    scopus 로고
    • Multitask learning
    • R. Caruana, "Multitask learning," Machine learning, vol. 28, pp. 41-75, 1997
    • (1997) Machine Learning , vol.28 , pp. 41-75
    • Caruana, R.1
  • 16
    • 84910044198 scopus 로고    scopus 로고
    • Multi task learning in connectionist robust ASR using recurrent neural networks
    • S. Parveen and P. Green, "Multi task learning in connectionist robust ASR using recurrent neural networks," in Proc. Interspeech, 2003
    • (2003) Proc. Interspeech
    • Parveen, S.1    Green, P.2
  • 17
    • 84905283791 scopus 로고    scopus 로고
    • Joint acoustic modelling of triphones and trigraphemes by multi-task learning deep neural networks for low-resource speech recognition
    • D. Chen, B. Mak, c.-C. Leung, and S. Sivadas, "Joint acoustic modelling of triphones and trigraphemes by multi-task learning deep neural networks for low-resource speech recognition," in Proc. ICASSP, 2014
    • (2014) Proc. ICASSP
    • Chen, D.1    Mak, B.2    Leung, C.-C.3    Sivadas, S.4
  • 19
    • 84910060069 scopus 로고    scopus 로고
    • Cross-lingual adaptation with multi-task adaptive networks
    • P. Bell, J. Driesen, and S. Renals, "Cross-lingual adaptation with multi-task adaptive networks," in Proc. Interspeech, 2014
    • (2014) Proc. Interspeech
    • Bell, P.1    Driesen, J.2    Renals, S.3
  • 20
    • 84890545600 scopus 로고    scopus 로고
    • Multi-task learning in deep neural networks for improved phoneme recognition
    • M. Selzer and J. Droppo, "Multi-task learning in deep neural networks for improved phoneme recognition," in Proc. ICASSP, 2013
    • (2013) Proc. ICASSP
    • Selzer, M.1    Droppo, J.2
  • 21
    • 33745805403 scopus 로고    scopus 로고
    • A fast learning algorithm for deep belief nets
    • G. Hinton, S. Osindero, and Y. Teh, "A fast learning algorithm for deep belief nets," Neural Computation, vol. 18, pp. 1527-1554,2006
    • (2006) Neural Computation , vol.18 , pp. 1527-1554
    • Hinton, G.1    Osindero, S.2    Teh, Y.3
  • 24
    • 84890542079 scopus 로고    scopus 로고
    • KL-divergence regularized deep neural network adaptation for improved large vocabulary speech recognition
    • D. Yu, K. Yao, H. Su, G. Li, and F. Seide, "KL-divergence regularized deep neural network adaptation for improved large vocabulary speech recognition," in Proc ICASSP, 2013
    • (2013) Proc ICASSP
    • Yu, D.1    Yao, K.2    Su, H.3    Li, G.4    Seide, F.5
  • 27
    • 0032050110 scopus 로고    scopus 로고
    • Maximum likelihood linear transforms for HMM-based speech recognition
    • M.J.F. Gales, "Maximum likelihood linear transforms for HMM-based speech recognition," Computer Speech and Language, vol. 12, no. 75-98, 1998
    • (1998) Computer Speech and Language , vol.12 , Issue.75-98
    • Gales, M.J.F.1
  • 28
    • 84890537527 scopus 로고    scopus 로고
    • Multi-level adaptive networks in tandem and hybrid ASR systems
    • P. Bell, P. Swietojanski, and S. Renals, "Multi-level adaptive networks in tandem and hybrid ASR systems," in Proc. ICASSP, 2013
    • (2013) Proc. ICASSP
    • Bell, P.1    Swietojanski, P.2    Renals, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.