메뉴 건너뛰기




Volumn 20, Issue 2, 2009, Pages 137-156

On classification and segmentation of massive audio data streams

Author keywords

Audio streams; Classification; Segmentation

Indexed keywords

AUDIO STREAMING; CHARACTER RECOGNITION; CLASSIFICATION (OF INFORMATION); CLUSTERING ALGORITHMS; EFFICIENCY; IMAGE SEGMENTATION; ITERATIVE METHODS; MAXIMUM PRINCIPLE; SPEECH RECOGNITION;

EID: 68349150835     PISSN: 02191377     EISSN: 02193116     Source Type: Journal    
DOI: 10.1007/s10115-008-0174-y     Document Type: Article
Times cited : (19)

References (16)
  • 1
    • 36849063164 scopus 로고    scopus 로고
    • A framework for classification and segmentation of massive audio data streams
    • Aggarwal CC (2007) A framework for classification and segmentation of massive audio data streams. ACM KDD Conference, pp 1013-1017
    • (2007) ACM KDD Conference , pp. 1013-1017
    • Aggarwal, C.C.1
  • 2
    • 85012236181 scopus 로고    scopus 로고
    • A framework for clustering evolving data streams
    • Aggarwal C, Han J, Wang J, Yu P (2003a) A framework for clustering evolving data streams. VLDB Conference, pp 81-92
    • (2003) VLDB Conference , pp. 81-92
    • Aggarwal, C.1    Han, J.2    Wang, J.3    Yu, P.4
  • 3
    • 1142291588 scopus 로고    scopus 로고
    • A framework for diagnosing changes in evolving data streams
    • Aggarwal C (2003b) A framework for diagnosing changes in evolving data streams. ACM SIGMOD Conference, pp 575-586
    • (2003) ACM SIGMOD Conference , pp. 575-586
    • Aggarwal, C.1
  • 9
    • 85166340496 scopus 로고    scopus 로고
    • Large datasets lead to overly complex models: An explanation and a solution
    • Oates T, Jensen D (1998) Large datasets lead to overly complex models: an explanation and a solution. In: KDD conference proceedings, pp 294-298
    • (1998) KDD Conference Proceedings , pp. 294-298
    • Oates, T.1    Jensen, D.2
  • 11
    • 0029209272 scopus 로고
    • Robust text independent speaker detection system using Gaussian mixture models
    • Reynolds D et al (1995) Robust text independent speaker detection system using Gaussian mixture models. In: IEEE transactions on speech and audio processing, vol 3. No. 1
    • (1995) IEEE Transactions on Speech and Audio Processing , vol.3 , Issue.1
    • Reynolds, D.1
  • 12
    • 0033884858 scopus 로고    scopus 로고
    • Speaker verification using adapted Gaussian mixture models
    • Reynolds D, Quateiri T, Dunn R (2000) Speaker verification using adapted Gaussian mixture models. Digital Signal Process 10: 42-54
    • (2000) Digital Signal Process , vol.10 , pp. 42-54
    • Reynolds, D.1    Quateiri, T.2    Dunn, R.3
  • 14
    • 33646772812 scopus 로고    scopus 로고
    • An evaluation of VTS and IMM for speaker recognition in noise
    • Suhadi S, Stan S, Fingschiedt T, Beaugeant C (2003) An evaluation of VTS and IMM for speaker recognition in noise. Eurospeech, pp 1669-1672
    • (2003) Eurospeech , pp. 1669-1672
    • Suhadi, S.1    Stan, S.2    Fingschiedt, T.3    Beaugeant, C.4
  • 15
    • 68349148588 scopus 로고    scopus 로고
    • Model complexity
    • URL
    • Williams C, Utans J (1996) Model complexity, NIPS Workshop. URL: http://www.ncrg.aston.ac.uk/nips96/
    • (1996) NIPS Workshop
    • Williams, C.1    Utans, J.2
  • 16
    • 0030157145 scopus 로고    scopus 로고
    • BIRCH: An efficient data clustering method for very large databases
    • Zhang T, Ramakrishnan R, Livny M (1996) BIRCH: An efficient data clustering method for very large databases, ACM SIGMOD conference, pp 103-114
    • (1996) ACM SIGMOD Conference , pp. 103-114
    • Zhang, T.1    Ramakrishnan, R.2    Livny, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.