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Volumn , Issue , 2009, Pages 1104-1107

Pnn-based algorithm for the recognition of speakers

Author keywords

Feature abstraction; MFCCs; PNN; Speaker recognition; Speech identification

Indexed keywords

FEATURE ABSTRACTION; FEATURE PARAMETERS; HUMAN SOUNDS; IMPROVED ALGORITHM; PROBABILISTIC NEURAL NETWORKS; SPEAKER RECOGNITION; SPEECH IDENTIFICATION; SPEECH SIGNALS; TESTING SAMPLES; TRAINING SAMPLE;

EID: 71549158565     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICEMI.2009.5273997     Document Type: Conference Paper
Times cited : (2)

References (14)
  • 1
    • 71549162511 scopus 로고    scopus 로고
    • Mechanical industrial publications, Beijing
    • Zhao L, Sound signal process. Mechanical industrial publications, Beijing, 2003, p.12-13.
    • (2003) Sound signal process , pp. 12-13
    • Zhao, L.1
  • 3
    • 0003837564 scopus 로고
    • Electrical industrial publications, Beijing
    • Yang X, Chi H, Sound signal digital process, Electrical industrial publications, Beijing, 1995, p.79-85.
    • (1995) Sound signal digital process , pp. 79-85
    • Yang, X.1    Chi, H.2
  • 4
    • 60049098432 scopus 로고    scopus 로고
    • Analysis and prediction of acoustic speech features from mel-frequency cepstral coefficients in distributed speech recognition architectures
    • Darch J, Milner B, Vaseghi S. Analysis and prediction of acoustic speech features from mel-frequency cepstral coefficients in distributed speech recognition architectures, Journal of the Acoustical Society of America, 2009, 124(6), p. 3989-4000.
    • (2009) Journal of the Acoustical Society of America , vol.124 , Issue.6 , pp. 3989-4000
    • Darch, J.1    Milner, B.2    Vaseghi, S.3
  • 5
    • 59649105180 scopus 로고    scopus 로고
    • Speaker-independent phoneme alignment using transition-dependent states
    • Hosom J, Speaker-independent phoneme alignment using transition-dependent states, Speech Communication, 2009, 51(4), p. 352-368.
    • (2009) Speech Communication , vol.51 , Issue.4 , pp. 352-368
    • Hosom, J.1
  • 7
    • 54549099008 scopus 로고    scopus 로고
    • Investigation on LP-residual representations for speaker identification
    • Chetouani M, Faundez-Zanuy M, Gas B, Zarader J, Investigation on LP-residual representations for speaker identification, Pattern Recognition, 2009, 42(3), p 487-494.
    • (2009) Pattern Recognition , vol.42 , Issue.3 , pp. 487-494
    • Chetouani, M.1    Faundez-Zanuy, M.2    Gas, B.3    Zarader, J.4
  • 8
    • 62249212710 scopus 로고    scopus 로고
    • Improving GMM-UBM speaker verification using discriminative feedback adaptation
    • Chao Y, Tsai W, Wang H, Improving GMM-UBM speaker verification using discriminative feedback adaptation, Computer Speech and Language, 2009, 23(3), p. 376-388.
    • (2009) Computer Speech and Language , vol.23 , Issue.3 , pp. 376-388
    • Chao, Y.1    Tsai, W.2    Wang, H.3
  • 9
    • 56349117948 scopus 로고    scopus 로고
    • Speaker identification using discrete wavelet packet transform technique with irregular decomposition
    • Wu J, Lin B, Speaker identification using discrete wavelet packet transform technique with irregular decomposition, Expert Systems with Applications, 2009, 36(2), p. 3136-3143.
    • (2009) Expert Systems with Applications , vol.36 , Issue.2 , pp. 3136-3143
    • Wu, J.1    Lin, B.2
  • 11
    • 71549147503 scopus 로고    scopus 로고
    • Ta D, and Wang W, Self-regress cepstral spectrum-based distance estimation, Journal of instrument and meters, 2007, 28(1), P18-19.
    • Ta D, and Wang W, Self-regress cepstral spectrum-based distance estimation, Journal of instrument and meters, 2007, 28(1), P18-19.
  • 13
    • 0001886731 scopus 로고    scopus 로고
    • Probabilistic neural network and general regression neural network
    • Chapter 3, McGraw-Hill
    • Specht D.F, Probabilistic neural network and general regression neural network, Chapter 3, Fuzzy logic and neural network handbook,McGraw-Hill,1996.
    • (1996) Fuzzy logic and neural network handbook
    • Specht, D.F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.