Global statistical features-based approach for Acoustic Event Detection

Bengio, 2013, Representation learning: a review and new perspectives, IEEE Trans Pattern Anal Mach Intell, 35, 1798, 10.1109/TPAMI.2013.50 Temko, 2009, Acoustic event detection and classification, Comput Hum Interact Loop, 61, 10.1007/978-1-84882-054-8_7 Crocco, 2016, Audio surveillance: a systematic review, ACM Comput Surv (CSUR), 48, 52, 10.1145/2871183 Atrey, 2006, Audio based event detection for multimedia surveillance, vol. 5 Rabaoui, 2008, Using one-class SVMS and wavelets for audio surveillance, IEEE Trans Inf Forensics Secur, 3, 763, 10.1109/TIFS.2008.2008216 Lozano H, Hernáez I, Picón A, Camarena J, Navas E. Audio classification techniques in home environments for elderly/dependant people. In: International conference on computers for handicapped persons; 2010. p. 320–3. Cheffena, 2016, Fall detection using smartphone audio features, IEEE J Biomed Health Inf, 20, 1073, 10.1109/JBHI.2015.2425932 Moeslund TB, Javed O, Jiang Y-G, Manmatha R. Special issue on multimedia event detection; 2014. Malik, 2013, Acoustic environment identification and its applications to audio forensics, IEEE Trans Inf Forensics Secur, 8, 1827, 10.1109/TIFS.2013.2280888 McLoughlin, 2015, Robust sound event classification using deep neural networks, IEEE/ACM Trans Audio Speech Langu Process, 23, 540, 10.1109/TASLP.2015.2389618 Beltrán, 2015, Scalable identification of mixed environmental sounds, recorded from heterogeneous sources, Pattern Recogn Lett, 68, 153, 10.1016/j.patrec.2015.08.027 Piczak KJ. ESC: dataset for environmental sound classification. In: Proceedings of the 23rd ACM international conference on multimedia; 2015. p. 1015–8. Mesaros A, Heittola T, Virtanen T. Tut database for acoustic scene classification and sound event detection. In: 2016 24th European signal processing conference (EUSIPCO); 2016. p. 1128–32. Chachada, 2013, Environmental sound recognition: a survey, 1 El Ayadi, 2011, Survey on speech emotion recognition: features, classification schemes, and databases, Pattern Recogn, 44, 572, 10.1016/j.patcog.2010.09.020 Stowell, 2015, Detection and classification of acoustic scenes and events, IEEE Trans Multimedia, 17, 1733, 10.1109/TMM.2015.2428998 Dufaux A, Besacier L, Ansorge M, Pellandini F. Automatic sound detection and recognition for noisy environment. In: 2000 10th European signal processing conference; 2000. p. 1–4. Ntalampiras, 2011, Probabilistic novelty detection for acoustic surveillance under real-world conditions, IEEE Trans Multimedia, 13, 713, 10.1109/TMM.2011.2122247 Mesaros A, Heittola T, Eronen A, Virtanen T. Acoustic event detection in real life recordings. In: 2010 18th European signal processing conference; 2010. p. 1267–71. Plinge A, Grzeszick R, Fink GA. A bag-of-features approach to acoustic event detection. In: IEEE international conference on acoustics, speech and signal processing (ICASSP); 2014. p. 3704–8. Gemmeke, 2013, An exemplar-based NMF approach to audio event detection, 1 Lu, 2014, Sparse representation based on a bag of spectral exemplars for acoustic event detection, 6255 Shuyang Z, Heittola T, Virtanen T. Active learning for sound event classification by clustering unlabeled data. In: 2017 IEEE international conference on acoustics, speech and signal processing (ICASSP); 2017. p. 751–5. Hinton, 2012, Deep neural networks for acoustic modeling in speech recognition: the shared views of four research groups, IEEE Signal Process Mag, 29, 82, 10.1109/MSP.2012.2205597 Salamon J, Jacoby C, Bello JP. A dataset and taxonomy for urban sound research. In: Proceedings of the 22nd ACM international conference on multimedia; 2014. p. 1041–4. Eronen, 2006, Audio-based context recognition, IEEE Trans Audio Speech Lang Process, 14, 321, 10.1109/TSA.2005.854103 Chang, 2011, Libsvm: a library for support vector machines, ACM Trans Intell Syst Technol (TIST), 2, 27 Kuccukbay SE, Sert M. Audio-based event detection in office live environments using optimized MFCC-SVM approach. In: IEEE international conference on, semantic computing (ICSC); 2015. p. 475–80.