메뉴 건너뛰기




Volumn , Issue , 2011, Pages 4596-4599

Comparing multilayer perceptron to deep belief network tandem features for robust ASR

Author keywords

Automatic Speech Recognition; Deep Belief Network; Multilayer Perceptron

Indexed keywords

AUTOMATIC SPEECH RECOGNITION; HIGH NOISE; MULTILAYER PERCEPTRON; NOISE CONDITIONS; NOISE LEVELS; ROBUST ASR; SINGLE LAYER;

EID: 80051644173     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2011.5947378     Document Type: Conference Paper
Times cited : (48)

References (11)
  • 1
    • 0033709098 scopus 로고    scopus 로고
    • Tandem Connectionist Feature Extraction for Conventional HMM Systems
    • H. Hermansky, D. P. W. Ellis, and S. Sharma, "Tandem Connectionist Feature Extraction for Conventional HMM Systems," in Proc. ICASSP, 2000.
    • Proc. ICASSP, 2000
    • Hermansky, H.1    Ellis, D.P.W.2    Sharma, S.3
  • 2
    • 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 Comput., vol. 18, pp. 1527-1554, 2006.
    • (2006) Neural Comput. , vol.18 , pp. 1527-1554
    • Hinton, G.1    Osindero, S.2    Teh, Y.3
  • 3
    • 79959840616 scopus 로고    scopus 로고
    • Investigation of Full-Sequence Training of Deep Belief Networks for Speech Recognition
    • A. Mohamed, D. Yu, and L. Deng, "Investigation of Full-Sequence Training of Deep Belief Networks for Speech Recognition," in Proc. Interspeech, 2010.
    • Proc. Interspeech, 2010
    • Mohamed, A.1    Yu, D.2    Deng, L.3
  • 4
    • 0032658253 scopus 로고    scopus 로고
    • Temporal patterns (traps) in asr of noisy speech
    • Hynek Hermansky and Sangita Sharma, "Temporal patterns (traps) in asr of noisy speech," in in Proc. ICASSP, 1999, pp. 289-292.
    • Proc. ICASSP, 1999 , pp. 289-292
    • Hermansky, H.1    Sharma, S.2
  • 5
    • 0033692739 scopus 로고    scopus 로고
    • Feature extraction using non-linear transformation for robust speech recognition on the aurora database
    • Sangita Sharma, Dan Ellis, Sachin Kajarekar, Pratibha Jain, and Hynek Hermansky, "Feature extraction using non-linear transformation for robust speech recognition on the aurora database," in Proc. ICASSP, 2000, pp. 1117-1120.
    • Proc. ICASSP, 2000 , pp. 1117-1120
    • Sharma, S.1    Ellis, D.2    Kajarekar, S.3    Jain, P.4    Hermansky, H.5
  • 6
    • 33746600649 scopus 로고    scopus 로고
    • Reducing the dimensionality of data with neural networks
    • G. Hinton and R. Salakhutdinov, "Reducing the dimensionality of data with neural networks," Science, vol. 313, pp. 504-507, 2006.
    • (2006) Science , vol.313 , pp. 504-507
    • Hinton, G.1    Salakhutdinov, R.2
  • 10
    • 0002787767 scopus 로고    scopus 로고
    • The Aurora experimental framework for the performance evaluation of speech recognition systems under noisy conditions
    • H.G. Hirsch and D. Pearce, "The Aurora experimental framework for the performance evaluation of speech recognition systems under noisy conditions," in ISCA ITRW ASR: Challenges for the Next Millennium, 2000.
    • (2000) ISCA ITRW ASR: Challenges for the next Millennium
    • Hirsch, H.G.1    Pearce, D.2
  • 11
    • 80051653868 scopus 로고    scopus 로고
    • "Quicknet," http://www.icsi.berkeley.edu/Speech/qn.html.
    • Quicknet


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.