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Volumn 5729 LNAI, Issue , 2009, Pages 210-217

Fusion of acoustic and prosodic features for speaker clustering

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC CHARACTERISTIC; ACOUSTIC CONDITIONS; ACOUSTIC INFORMATION; AGGLOMERATIVE CLUSTERING; AUDIO SIGNAL; BAYESIAN INFORMATION CRITERION; HIGHER-LEVEL INFORMATION; LAST STAGE; PITCH CONTOURS; PROSODIC FEATURES; PROSODY FEATURES; SIMILARITY MEASURE; SPEAKER CLUSTERING; SPEAKER DIARIZATION; WORK FOCUS;

EID: 70349849675     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04208-9_31     Document Type: Conference Paper
Times cited : (7)

References (16)
  • 1
    • 0002595416 scopus 로고    scopus 로고
    • Speaker, environment and channel change detection and clustering via the bayesian information criterion
    • Lansdowne, Virginia, USA
    • Chen, S.,Gopalakrishnan, P.S.: Speaker, environment and channel change detection and clustering via the Bayesian information criterion. In: Proceedings of the DARPA Speech Recognition Workshop, Lansdowne, Virginia, USA, pp. 127-132 (1998)
    • (1998) Proceedings of the DARPA Speech Recognition Workshop , pp. 127-132
    • Chen, S.1    Gopalakrishnan, P.S.2
  • 4
    • 0036027625 scopus 로고    scopus 로고
    • Integrated recognition of words and prosodic phrase boundaries
    • Gallwitz, F., Niemann, H., Noth, E., Warnke, V.: Integrated recognition of words and prosodic phrase boundaries. Speech Communication 36(1-2), 81-95 (2002)
    • (2002) Speech Communication , vol.36 , Issue.1-2 , pp. 81-95
    • Gallwitz, F.1    Niemann, H.2    Noth, E.3    Warnke, V.4
  • 5
    • 25144471298 scopus 로고    scopus 로고
    • Score normalization in multimodal biometric systems
    • Jain, A., Nandakumar, K., Ross, A.: Score normalization in multimodal biometric systems. Pattern Recognition 38(12), 2270-2285 (2005)
    • (2005) Pattern Recognition , vol.38 , Issue.12 , pp. 2270-2285
    • Jain, A.1    Nandakumar, K.2    Ross, A.3
  • 11
    • 0036567794 scopus 로고    scopus 로고
    • The development of the HTK broadcast news transcription system: An overview
    • Woodland, P.C.: The development of the HTK Broadcast News transcription system: An overview. Speech Communication 37(1-2), 47-67 (2002)
    • (2002) Speech Communication , vol.37 , Issue.1-2 , pp. 47-67
    • Woodland, P.C.1
  • 13
    • 33745216934 scopus 로고    scopus 로고
    • The COST278 broadcast news Segmentation and speaker clustering evaluation - Overview, methodology, systems, results
    • Lisbon, Portugal
    • Žibert, J.: et al.: The COST278 Broadcast News Segmentation and Speaker Clustering Evaluation - Overview, Methodology, Systems, Results. In: Proceedings of Interspeech 2005, Lisbon, Portugal, pp. 629-632 (2005)
    • (2005) Proceedings of Interspeech 2005 , pp. 629-632
    • Žibert, J.1
  • 14
    • 44649146536 scopus 로고    scopus 로고
    • Novel approaches to speech detection in the processing of continuous audio streams
    • Grimm, M., Kroschel, K. (eds.) I-Tech Education and Publishing, Croatia
    • Žibert, J., Vesnicer, B.,Mihelič, F.: Novel Approaches to Speech Detection in the Processing of Continuous Audio Streams. In: Grimm, M., Kroschel, K. (eds.) Robust Speech Recognition and Understanding, pp. 23-48. I-Tech Education and Publishing, Croatia (2007)
    • (2007) Robust Speech Recognition and Understanding , pp. 23-48
    • Žibert, J.1    Vesnicer, B.2    Mihelič, F.3
  • 15
    • 84865772059 scopus 로고    scopus 로고
    • Novel approaches to speaker clustering for speaker diarization in audio broadcast news data
    • Mihelič, F., Žibert, J. (eds.). Artificial intelligence series ISBN 978-953-7619-29-9
    • Žibert, J., Mihelič, F.: Novel approaches to speaker clustering for speaker diarization in audio broadcast news data. In: Mihelič, F., Žibert, J. (eds.) Speech recognition: technologies and applications. Artificial intelligence series, pp. 341-362 (2008) ISBN 978-953-7619-29-9
    • (2008) Speech Recognition: Technologies and Applications , pp. 341-362
    • Žibert, J.1    Mihelič, F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.