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Volumn , Issue , 2011, Pages 549-554

A comparative study of collaborative vs. Traditional musical mood annotation

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC SYSTEMS; COLLABORATIVE GAMES; COMPARATIVE STUDIES; CROWDSOURCING; DATA COLLECTION; DATA COLLECTION METHOD; GROUND TRUTH DATA; MECHANICAL TURKS; MUSIC EMOTIONS; MUSIC INFORMATION RETRIEVAL; NATURAL PROCESS; STATISTICAL COMPARISONS; SUPERVISED MACHINE LEARNING; TRAINING DATA;

EID: 84873597750     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (52)

References (14)
  • 5
    • 84555174290 scopus 로고    scopus 로고
    • Prediction of timevarying musical mood distributions from audio
    • Utrecht, Netherlands
    • E. M. Schmidt and Y. E. Kim, "Prediction of timevarying musical mood distributions from audio, " in Proc. of the 11th ISMIR Conf., Utrecht, Netherlands, 2010.
    • (2010) Proc. of the 11th ISMIR Conf.
    • Schmidt, E.M.1    Kim, Y.E.2
  • 8
    • 80053360508 scopus 로고    scopus 로고
    • Cheap and fast - but is it good? Evaluating non-expert annotations for natural language tasks
    • R. Snow, B. O'Connor, D. Jurafsky, and A. Ng, "Cheap and Fast - But is it Good? Evaluating Non-Expert Annotations for Natural Language Tasks, " in Proc. Empirical Methods in NLP, 2008.
    • (2008) Proc. Empirical Methods in NLP
    • Snow, R.1    O'connor, B.2    Jurafsky, D.3    Ng, A.4
  • 10
    • 52049123532 scopus 로고    scopus 로고
    • Utility data annotation with amazon mechanical turk
    • A. Sorokin and D. Forsyth, "Utility data annotation with amazon mechanical turk, " in CVPR Workshops, 2008.
    • (2008) CVPR Workshops
    • Sorokin, A.1    Forsyth, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.