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Noise robust voice activity detection using normal probability testing and time-domain histogram analysis.

, , , and . ICASSP, page 4470-4473. IEEE, (2010)

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Noise robust voice activity detection using features extracted from the time-domain autocorrelation function., , , and . INTERSPEECH, page 3118-3121. ISCA, (2010)An iterative speaker re-diarization scheme for improving speaker-based entity extraction in multimedia archives., , and . INTERSPEECH, page 577-581. ISCA, (2014)Acoustic Adaptation in Cross Database Audio Visual SHMM Training for Phonetic Spoken Term Detection., , , , and . SLAM@ACM Multimedia, page 11-14. ACM, (2015)The QUT-NOISE-SRE protocol for the evaluation of noisy speaker recognition., , , , and . INTERSPEECH, page 3456-3460. ISCA, (2015)Extending the Task of Diarization to Speaker Attribution., , , and . INTERSPEECH, page 1049-1052. ISCA, (2011)A study of speaker clustering for speaker attribution in large telephone conversation datasets., , , and . Computer Speech & Language, (2016)A speaker rediarization scheme for improving diarization in large two-speaker telephone datasets., , and . EUSIPCO, page 1272-1276. IEEE, (2014)Complete-linkage clustering for voice activity detection in audio and visual speech., , , , and . INTERSPEECH, page 2292-2296. ISCA, (2015)Cross database training of audio-visual hidden Markov models for phone recognition., , , , and . INTERSPEECH, page 553-557. ISCA, (2015)Speaker attribution of multiple telephone conversations using a complete-linkage clustering approach., , , and . ICASSP, page 4185-4188. IEEE, (2012)