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Volumn , Issue , 2008, Pages 297-300

A similar content retrieval method for podcast episodes

Author keywords

Confusionnetwork; Content based similarity; Podcast; recognition; Spoken document retrieval

Indexed keywords

CONFUSIONNETWORK; CONTENT-BASED SIMILARITY; PODCAST; RECOGNITION; SPOKEN DOCUMENT RETRIEVAL;

EID: 67649562145     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SLT.2008.4777899     Document Type: Conference Paper
Times cited : (10)

References (11)
  • 4
    • 20844435854 scopus 로고    scopus 로고
    • Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions
    • Gediminas Adomavicius and Alexander Tuzhilin, "Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions," IEEE Transactions on Knowledge and Data Engineering, vol.17, no. 6, pp. 734-749, 2005.
    • (2005) IEEE Transactions on Knowledge and Data Engineering , vol.17 , Issue.6 , pp. 734-749
    • Adomavicius Gediminas1    Tuzhilin Alexander2
  • 6
    • 0034296009 scopus 로고    scopus 로고
    • Finding consensus in speech recognition: Word error minimization and other applications of confusion networks
    • DOI 10.1006/csla.2000.0152
    • L. Mangu, E. Brill, and A. Stolcke, "Finding Consensus in Speech Recognition: Word Error Minimization and Other Applications of Confusion Networks," in Computer, Speech and Language, 2000, pp. 373-400. (Pubitemid 30967415)
    • (2000) Computer Speech and Language , vol.14 , Issue.4 , pp. 373-400
    • Mangu, L.1    Brill, E.2    Stolcke, A.3
  • 11
    • 33847607574 scopus 로고    scopus 로고
    • Soft indexing of speech content for search in spoken documents
    • Ciprian Chelba, Jorge Silva, and Alex Acero, "Soft indexing of speech content for search in spoken documents," Comput. Speech Lang., vol.21, no. 3, pp. 458- 478, 2007.
    • (2007) Comput. Speech Lang. , vol.21 , Issue.3 , pp. 458-478
    • Chelba Ciprian1    Silva Jorge2    Acero Alex3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.