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Volumn , Issue , 2012, Pages 330-333

Speaker vectors from subspace Gaussian mixture model as complementary features for language identification

Author keywords

[No Author keywords available]

Indexed keywords

GAUSSIAN DISTRIBUTION; HIGH LEVEL LANGUAGES; NATURAL LANGUAGE PROCESSING SYSTEMS; OBJECT RECOGNITION; VECTORS;

EID: 85073253015     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (4)

References (21)
  • 7
    • 78049393226 scopus 로고    scopus 로고
    • A tutorial introduction to subspace Gaussian mixture models for speech recognition
    • D. Povey, “A Tutorial Introduction to Subspace Gaussian Mixture Models for Speech Recognition,” in Tech. Rep. MSR-TR-2009-111, Microsoft Research, 2009.
    • (2009) Tech. Rep. MSR-TR-2009-111, Microsoft Research
    • Povey, D.1
  • 9
    • 0003454539 scopus 로고    scopus 로고
    • Maximum Likelihood Linear Transformations for HMM-based Speech Recognition
    • Report, CUED/FINFENG/TR291, Cambridge Univ.,” Tech. Rep
    • M. Gales, “Maximum Likelihood Linear Transformations for HMM-based Speech Recognition, Tech. Report, CUED/FINFENG/TR291, Cambridge Univ.,” Tech. Rep., 1997.
    • (1997) Tech
    • Gales, M.1
  • 13
    • 70450210553 scopus 로고    scopus 로고
    • The broadcast narrow band speech corpus: A new resource type for large scale language recognition
    • C. Cieri et al., “The Broadcast Narrow Band Speech Corpus: a New Resource Type for Large Scale Language Recognition,” in Proc. of Interspeech 2009.
    • (2009) Proc. Of Interspeech
    • Cieri, C.1
  • 15
    • 79952630401 scopus 로고    scopus 로고
    • Discriminative training and channel compensation for acoustic language recognition
    • P. Matějka V. Hubeika, L. Burget and P. Schwarz, “Discriminative Training and Channel Compensation for Acoustic Language Recognition,” in Proc. Interspeech, 2008.
    • (2008) Proc. Interspeech
    • Matějka, P.1    Hubeika, V.2    Burget, L.3    Schwarz, P.4
  • 16
    • 34548833109 scopus 로고    scopus 로고
    • Brno University of technology system for NIST 2005 language recognition evaluation
    • San Juan, Puerto Rico, June
    • P. Matějka, L. Burget, P. Schwarz, and J. Černocký, “Brno University of Technology System for NIST 2005 Language Recognition Evaluation,” in Proc. NIST LRE 2005 Workshop, San Juan, Puerto Rico, June 2006, pp. 57-64.
    • (2006) Proc. NIST LRE 2005 Workshop , pp. 57-64
    • Matějka, P.1    Burget, L.2    Schwarz, P.3    Černocký, J.4
  • 18
    • 0032629626 scopus 로고    scopus 로고
    • Improved methods for vocal tract normalization
    • L. Welling, S. Kanthak, and H. Ney, “Improved methods for vocal tract normalization,” in Proc. ICASSP 1999.
    • (1999) Proc. ICASSP
    • Welling, L.1    Kanthak, S.2    Ney, H.3
  • 19
    • 0033884858 scopus 로고    scopus 로고
    • Speaker Verification using Adapted Gaussian Mixture Models
    • Jan
    • D. A. Reynolds, T. F. Quatieri, and R. B. Dunn, “Speaker Verification using Adapted Gaussian Mixture Models,” Digital Signal Processing, vol. 10, no. 1-3, pp. 19-41, Jan. 2000.
    • (2000) Digital Signal Processing , vol.10 , Issue.1-3 , pp. 19-41
    • Reynolds, D.A.1    Quatieri, T.F.2    Dunn, R.B.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.