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Volumn , Issue , 2014, Pages 2977-2981

Multi-accent deep neural network acoustic model with accent-specific top layer using the KLD-regularized model adaptation

Author keywords

Accent speech recognition; KL divergence regularization; Model adaptation

Indexed keywords

COMPUTATIONAL EFFICIENCY; INFORMATION RETRIEVAL SYSTEMS; SPEECH COMMUNICATION;

EID: 84910100361     PISSN: 2308457X     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (74)

References (16)
  • 5
    • 84910037211 scopus 로고    scopus 로고
    • Conversational speech transcription using context-dependent deep neural networks
    • Seide, F., Li, G., and Yu, D., "Conversational Speech Transcription Using Context-Dependent Deep Neural Networks", in the Proceedings of Interspeech 2012.
    • (2012) The Proceedings of Interspeech
    • Seide, F.1    Li, G.2    Yu, D.3
  • 6
    • 84878379108 scopus 로고    scopus 로고
    • Scalable minimum bayes risk training of deep neural network acoustic models using distributed hessian-free optimization
    • Kingsbury, B., Sainath, N. T., and Soltau, H., "Scalable Minimum Bayes Risk Training of Deep Neural Network Acoustic Models Using Distributed Hessian-free Optimization", in the Proceedings of Interspeech 2012.
    • (2012) The Proceedings of Interspeech
    • Kingsbury, B.1    Sainath, N.T.2    Soltau, H.3
  • 12
    • 84952355954 scopus 로고    scopus 로고
    • A study of the temporal features and frequency characteristics in american english foreign accent
    • December
    • Arslan, L. M. and Hansen, J. L., A Study of the Temporal Features and Frequency Characteristics in American English Foreign Accent, Journal of the Acoustic Society, America, December, 1996.
    • (1996) Journal of the Acoustic Society, America
    • Arslan, L.M.1    Hansen, J.L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.