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Volumn 2, Issue , 2006, Pages

A combined LSTM-RNN - HMM - Approach for meeting event segmentation and recognition

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); HIDDEN MARKOV MODELS; NEURAL NETWORKS; RELIABILITY THEORY; ROBUSTNESS (CONTROL SYSTEMS);

EID: 33947655366     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (14)

References (13)
  • 7
    • 10044243706 scopus 로고    scopus 로고
    • Segmentation and classification of meeting events using multiple classifier fusion and dynamic programming
    • IEEE Computer Society, August
    • S. Reiter and G. Rigoll. Segmentation and classification of meeting events using multiple classifier fusion and dynamic programming. In IEEE Proceedings of the International Conference on Pattern Recognition (ICPR), pages 434-437. IEEE Computer Society, August 2004.
    • (2004) IEEE Proceedings of the International Conference on Pattern Recognition (ICPR) , pp. 434-437
    • Reiter, S.1    Rigoll, G.2
  • 10
    • 78650540904 scopus 로고    scopus 로고
    • Improved speaker segmentation and segments clustering using the bayesian information criterion
    • A. Tritschler and R. A. Gopinath. Improved speaker segmentation and segments clustering using the bayesian information criterion. In Proceedings EUROSPEECH '99, 1999.
    • (1999) Proceedings EUROSPEECH '99
    • Tritschler, A.1    Gopinath, R.A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.