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Volumn 1, Issue , 2012, Pages 362-365

Active learning by sparse instance tracking and classifier confidence in acoustic emotion recognition

Author keywords

Acoustic emotion recognition; Active learning; Confidence scores; Sparse instances

Indexed keywords

ACOUSTIC EMOTION RECOGNITION; ACTIVE LEARNING; ACTIVE LEARNING STRATEGIES; CONFIDENCE SCORE; DATA SCARCITY; DIFFERENT CLASS; MULTIPLE CLASS; SPARSE INSTANCES;

EID: 84878381243     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (36)

References (12)
  • 4
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    • Active learning: Theory and applications to automatic speech recognition
    • IEEE Transactions on
    • G. Riccardi and D. Hakkani-Tur, "Active learning: theory and applications to automatic speech recognition," Speech and Audio Processing, IEEE Transactions on, vol. 13, no. 4, pp. 504-511, 2005.
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    • Riccardi, G.1    Hakkani-Tur, D.2
  • 5
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    • Confidence-based active learning
    • IEEE Transactions on Aug.
    • M. Li and I. Sethi, "Confidence-based active learning," Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. 28, no. 8, pp. 1251-1261, Aug. 2006.
    • (2006) Pattern Analysis and Machine Intelligence , vol.28 , Issue.8 , pp. 1251-1261
    • Li, M.1    Sethi, I.2
  • 7
    • 0002332781 scopus 로고    scopus 로고
    • Employing em in pool-based active learning for text classification
    • Madison, WI, July
    • A. McCallum and K. Nigam, "Employing em in pool-based active learning for text classification," in Proc. Int'l. Conf. on Machine Learning (ICML), Madison, WI, July 1998, pp. 359-367.
    • (1998) Proc. Int'l. Conf. on Machine Learning (ICML) , pp. 359-367
    • McCallum, A.1    Nigam, K.2
  • 8
    • 0442319140 scopus 로고    scopus 로고
    • Toward optimal active learning through sampling estimation of error reduction
    • Williamstown, MA, June
    • N. Roy and A. McCallum, "Toward optimal active learning through sampling estimation of error reduction," in Prof. Int'l. Conf. on Machine Learning (ICML), Williamstown, MA, June 2001, pp. 441-448.
    • (2001) Prof. Int'l. Conf. on Machine Learning (ICML) , pp. 441-448
    • Roy, N.1    McCallum, A.2
  • 9
    • 80053375448 scopus 로고    scopus 로고
    • An analysis of active learning strategies for sequence labeling tasks
    • Honolulu, Hawaii, USA, October
    • B. Settles and M. Craven, "An analysis of active learning strategies for sequence labeling tasks," in Proc. Empirical Methods in Natural Language Processing(EMNLP), Honolulu, Hawaii, USA, October 2008, pp. 1070-1079.
    • (2008) Proc. Empirical Methods in Natural Language Processing(EMNLP) , pp. 1070-1079
    • Settles, B.1    Craven, M.2
  • 10
    • 37149038648 scopus 로고    scopus 로고
    • Incorporating diversity and density in active learning for relevance feedback
    • Rome, Italy, April
    • Z. Xu, R. Akella, and Y. Zhang, "Incorporating diversity and density in active learning for relevance feedback," in Proc. European Conference on Information Retrieval (ECIR), Rome, Italy, April 2007, pp. 246-257.
    • (2007) Proc. European Conference on Information Retrieval (ECIR) , pp. 246-257
    • Xu, Z.1    Akella, R.2    Zhang, Y.3
  • 11
    • 70450206416 scopus 로고    scopus 로고
    • The INTERSPEECH 2009 emotion challenge
    • Brighton, UK
    • B. Schuller, S. Steidl, and A. Batliner, "The INTERSPEECH 2009 Emotion Challenge," in Proc. INTERSPEECH, Brighton, UK, 2009, pp. 312-315.
    • (2009) Proc. INTERSPEECH , pp. 312-315
    • Schuller, B.1    Steidl, S.2    Batliner, A.3
  • 12
    • 78650977476 scopus 로고    scopus 로고
    • OpenSMILE - The munich versatile and fast open-source audio feature extractor
    • Florence
    • F. Eyben, M. Wöllmer, and B. Schuller, "openSMILE - The Munich Versatile and Fast Open-Source Audio Feature Extractor," in Proc. ACM Multimedia (MM), Florence, 2010, pp. 1459-1462.
    • (2010) Proc. ACM Multimedia (MM) , pp. 1459-1462
    • Eyben, F.1    Wöllmer, M.2    Schuller, B.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.