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A tandem connectionist model using combination of multi-scale spectro-temporal features for acoustic event detection.

, , , , and . ICASSP, page 4293-4296. IEEE, (2012)

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Acoustic Event Detection in Speech Overlapping Scenarios Based on High-Resolution Spectral Input and Deep Learning., , and . IEICE Transactions, 98-D (10): 1799-1807 (2015)Spectrogram patch based acoustic event detection and classification in speech overlapping conditions., , , and . HSCMA, page 117-121. IEEE, (2014)Using Spectral Fluctuation of Speech in Multi-Feature HMM-Based Voice Activity Detection., , , , and . INTERSPEECH, page 2613-2616. ISCA, (2011)Feature extraction strategies in deep learning based acoustic event detection., , , and . INTERSPEECH, page 2922-2926. ISCA, (2015)Analysis on speech characteristics for robust voice activity detection., , , , and . SLT, page 151-156. IEEE, (2010)Exploiting spectro-temporal locality in deep learning based acoustic event detection., , , and . EURASIP J. Audio, Speech and Music Processing, (2015)The NTT CHiME-3 system: Advances in speech enhancement and recognition for mobile multi-microphone devices., , , , , , , , , and 2 other author(s). ASRU, page 436-443. IEEE, (2015)A tandem connectionist model using combination of multi-scale spectro-temporal features for acoustic event detection., , , , and . ICASSP, page 4293-4296. IEEE, (2012)Defeating reverberation: Advanced dereverberation and recognition techniques for hands-free speech recognition., , , , , , , , , and 1 other author(s). GlobalSIP, page 522-526. IEEE, (2014)Strategies for distant speech recognitionin reverberant environments., , , , , , , , , and 1 other author(s). EURASIP J. Adv. Sig. Proc., (2015)