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Speech Activity Detection in Naturalistic Audio Environments: Fearless Steps Apollo Corpus., , and . IEEE Signal Process. Lett., 25 (9): 1290-1294 (2018)Prof-Life-Log: Analysis and classification of activities in daily audio streams., , , and . ICASSP, page 4719-4723. IEEE, (2015)Phoneme class based feature adaptation for mismatch acoustic modeling and recognition of distant noisy speech., , and . Int. J. Speech Technol., 20 (4): 799-811 (2017)Toeplitz Inverse Covariance Based Robust Speaker Clustering for Naturalistic Audio Streams., , and . INTERSPEECH, page 416-420. ISCA, (2019)Environmentally aware voice activity detector., , and . INTERSPEECH, page 2929-2932. ISCA, (2007)Automatic audio sentiment extraction using keyword spotting., , and . INTERSPEECH, page 2709-2713. ISCA, (2015)On the Competitive Neyman-Pearson Approach for Composite Hypothesis Testing and its Application in Voice Activity Detection., , and . ICASSP (3), page 301-304. IEEE, (2006)A robust diarization system for measuring dominance in Peer-Led Team Learning groups., , and . SLT, page 319-323. IEEE, (2016)Leveraging speech production knowledge for improved speech recognition., and . ASRU, page 58-63. IEEE, (2009)Phonological feature based variable frame rate scheme for improved speech recognition., and . ASRU, page 582-586. IEEE, (2007)