메뉴 건너뛰기




Volumn 1, Issue , 2008, Pages 719-723

Speech recognition with a competitive probabilistic radial basis neural network

Author keywords

Probabilistic networks; Radial basis function; Speech recognition

Indexed keywords

AUTOMATIC SPEECH RECOGNITION; CEPSTRUM; DATA SETS; PATTERN CLASSIFIER; PROBABILISTIC NETWORKS; PROBABILISTIC NEURAL NETWORKS; RADIAL BASIS FUNCTION; RADIAL BASIS FUNCTIONS; RADIAL BASIS NEURAL NETWORKS; RADIAL BASIS PROBABILISTIC NEURAL NETWORKS; RECOGNITION ERROR; RECOGNITION RATES;

EID: 67249153104     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IS.2008.4670445     Document Type: Conference Paper
Times cited : (3)

References (13)
  • 2
    • 67249156415 scopus 로고    scopus 로고
    • E. Gaudard and G. Aradilla, Speech Recognition based on Template Matching and Phone Posterior probabilities. IDIAP-Com 07-02, 2007.
    • E. Gaudard and G. Aradilla, "Speech Recognition based on Template Matching and Phone Posterior probabilities". IDIAP-Com 07-02, 2007.
  • 3
    • 0025041264 scopus 로고
    • Perceptual Linear Predictive (PLP) Analysis of Speech, the
    • Apr
    • H. Hermansky, "Perceptual Linear Predictive (PLP) Analysis of Speech", the Journal of the Acoustical Society of America, vol. 87, Issue 4, pp. 1738-1752, Apr. 1990.
    • (1990) Journal of the Acoustical Society of America , vol.87 , Issue.4 , pp. 1738-1752
    • Hermansky, H.1
  • 5
    • 67249093478 scopus 로고    scopus 로고
    • Locally Recurrent Probabilistic Neural Network for Text-Independent Speaker Verification
    • T. Ganchev, D.K. Tasoulis and M.N. Vrahatis, "Locally Recurrent Probabilistic Neural Network for Text-Independent Speaker Verification". In Proc. of the EuroSpeech, 2003, vol. 3, pp. 762-766, 2003.
    • (2003) Proc. of the EuroSpeech , vol.3 , pp. 762-766
    • Ganchev, T.1    Tasoulis, D.K.2    Vrahatis, M.N.3
  • 7
    • 0033240936 scopus 로고    scopus 로고
    • Gaussian mixture models and probabilistic decision-based neural network for pattern classification: A comparative Study
    • K.K. Yiu, M.W. Mak, C.K. Li, "Gaussian mixture models and probabilistic decision-based neural network for pattern classification: A comparative Study". Neural Computing and Applications 8(3): pp. 235-245, 1999.
    • (1999) Neural Computing and Applications , vol.8 , Issue.3 , pp. 235-245
    • Yiu, K.K.1    Mak, M.W.2    Li, C.K.3
  • 9
    • 0141633925 scopus 로고    scopus 로고
    • Optimizing Radial Basis Probabilistic Neural Networks Using Recursive Orthogonal Least Squares Algorithms Combined with Micro-Genetic Algorithms
    • July
    • W. Zhao, D. Huang, and L. Guo, "Optimizing Radial Basis Probabilistic Neural Networks Using Recursive Orthogonal Least Squares Algorithms Combined with Micro-Genetic Algorithms". Neural Networks, 2003. Proceedings of the International Joint Conference, Volume 3, pp. 2277-2282, July 2003
    • (2003) Neural Networks, 2003. Proceedings of the International Joint Conference , vol.3 , pp. 2277-2282
    • Zhao, W.1    Huang, D.2    Guo, L.3
  • 10
    • 2542525075 scopus 로고    scopus 로고
    • Adaptive Probabilistic Neural Networks for Pattern Classification in Time-Varying Environment
    • July
    • L. Rutkowski, "Adaptive Probabilistic Neural Networks for Pattern Classification in Time-Varying Environment". IEEE Trans. Neural Networks, vol. 15, NO.4, pp. 811-827, July 2004.
    • (2004) IEEE Trans. Neural Networks , vol.15 , Issue.4 , pp. 811-827
    • Rutkowski, L.1
  • 11
    • 0033732354 scopus 로고    scopus 로고
    • Selecting Radial Basis Function Network Centers with Recursive Orthogonal Least Squares Training
    • March
    • J. Gomm and D. Li Yu, "Selecting Radial Basis Function Network Centers with Recursive Orthogonal Least Squares Training". IEEE Trans. Neural Networks, vol. II, pp. 306-314, March 2000.
    • (2000) IEEE Trans. Neural Networks , vol.2 , pp. 306-314
    • Gomm, J.1    Li Yu, D.2
  • 12
    • 33947318567 scopus 로고    scopus 로고
    • Architecture of probabilistic neural networks: Estimating the adjustable smoothing factor
    • F. Gorunescu, "Architecture of probabilistic neural networks: estimating the adjustable smoothing factor". Research Notes in Artificial Intelligence and Digital Communications, 104, pp. 56-62, 2004.
    • (2004) Research Notes in Artificial Intelligence and Digital Communications , vol.104 , pp. 56-62
    • Gorunescu, F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.