메뉴 건너뛰기




Volumn , Issue , 2011, Pages 1041-1044

The detection of overlapping speech with prosodic features for speaker diarization

Author keywords

Feature selection; Overlapping speech detection; Prosody; Speaker diarization

Indexed keywords

DETECTION ERROR; DETECTION SYSTEM; OPTIMAL NUMBER; PROSODIC FEATURES; PROSODY; SPEAKER DIARIZATION; SPECTRAL PARAMETERS; SPEECH DETECTION; TWO-STEP PROCESS; WRAPPER APPROACH;

EID: 84865798489     PISSN: None     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (26)

References (13)
  • 4
    • 70349849675 scopus 로고    scopus 로고
    • Fusion of acoustic and prosodic features for speaker clustering
    • 2009
    • J. Žibert and F. Mihelič, "Fusion of Acoustic and Prosodic Features for Speaker Clustering," Lecture Notes in Computer Science, vol. 5729/2009, pp. 210-217, 2009.
    • (2009) Lecture Notes in Computer Science , vol.5729 , pp. 210-217
    • Žibert, J.1    Mihelič, F.2
  • 5
    • 0034216461 scopus 로고    scopus 로고
    • Prosodic features which cue backchannel responses in English and Japanese
    • 2000
    • N. Ward and W. Tsukahara, "Prosodic features which cue backchannel responses in English and Japanese," Journal of Pragmatics, vol. 32/2000, pp. 1177-1207, 2000.
    • (2000) Journal of Pragmatics , vol.32 , pp. 1177-1207
    • Ward, N.1    Tsukahara, W.2
  • 6
    • 0141741010 scopus 로고    scopus 로고
    • Can prosody aid the automatic processing of multi-party meetings? Evidence from predicting punctuation, disfluencies, and overlapping speech
    • Red Bank, USA
    • E. Shriberg, A. Stolcke, and D. Baron, "Can prosody aid the automatic processing of multi-party meetings? Evidence from predicting punctuation, disfluencies, and overlapping speech," in Proc. ISCA Workshop on Prosody in Speech Recognition and Understanding, Red Bank, USA, 2001, pp. 13-16.
    • (2001) Proc. ISCA Workshop on Prosody in Speech Recognition and Understanding , pp. 13-16
    • Shriberg, E.1    Stolcke, A.2    Baron, D.3
  • 7
    • 0034818605 scopus 로고    scopus 로고
    • Cochannel speaker count labelling based on the use of cepstral and pitch prediction derived features
    • Feb.
    • M. A. Lewis and R. P. Ramachandran, "Cochannel speaker count labelling based on the use of cepstral and pitch prediction derived features," Pattern Recognition, vol. 34, no. 2, pp. 499-507, Feb. 2001.
    • (2001) Pattern Recognition , vol.34 , Issue.2 , pp. 499-507
    • Lewis, M.A.1    Ramachandran, R.P.2
  • 8
    • 79959829540 scopus 로고    scopus 로고
    • Overlap detection for speaker diarization by fusing spectral and spatial features
    • Makuhari, Japan
    • M. Zelenák, C. Segura, and J. Hernando, "Overlap detection for speaker diarization by fusing spectral and spatial features," in Proc. Interspeech '10, Makuhari, Japan, 2010, pp. 2302-2305.
    • (2010) Proc. Interspeech '10 , pp. 2302-2305
    • Zelenák, M.1    Segura, C.2    Hernando, J.3
  • 9
    • 84857343608 scopus 로고    scopus 로고
    • Usable speech detection using linear predictive analysis - A model based approach
    • Awaji Island, Japan
    • N. Sundaram, R. Yantorno, B. Smolenski, and A. Iyer, "Usable speech detection using linear predictive analysis - a model based approach," in Proceedings of ISPACS, Awaji Island, Japan, 2003, pp. 231-235.
    • (2003) Proceedings of ISPACS , pp. 231-235
    • Sundaram, N.1    Yantorno, R.2    Smolenski, B.3    Iyer, A.4
  • 10
    • 11144286121 scopus 로고    scopus 로고
    • The Spectral Autocorrelation Peak Valley Ratio (SAPVR) - A usable speech measure emplyed as a co-channel detection system
    • R. Yantorno, "The Spectral Autocorrelation Peak Valley Ratio (SAPVR) - A usable speech measure emplyed as a co-channel detection system," in Proc. of IEEE Workshop on Intelligent Signal Processing, 2001.
    • (2001) Proc. of IEEE Workshop on Intelligent Signal Processing
    • Yantorno, R.1
  • 11
    • 24344458137 scopus 로고    scopus 로고
    • Feature selection based on mutual information: Criteria of max-dependency, max-relevance, and min-redundancy
    • Aug.
    • H. Peng, F. Long, and C. Ding, "Feature Selection Based on Mutual Information: Criteria of Max-Dependency, Max-Relevance, and Min-Redundancy, " IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 27, no. 8, pp. 1226-1238, Aug. 2005.
    • (2005) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.27 , Issue.8 , pp. 1226-1238
    • Peng, H.1    Long, F.2    Ding, C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.