Random regression forests for acoustic event detection and classification

IEEE/ACM Transactions on Audio Speech and Language Processing

Volumn 23, Issue 1, 2015, Pages 20-31

  Phan, Huy ^a   Maaß, Marco ^a   Mazur, Radoslaw ^a   Mertins, Alfred ^a  

^a UNIVERSITY OF LÜBECK   (Germany)

Author keywords

Acoustic event detection; random forest; regression forest; superframe

Indexed keywords

DECISION TREES; REGRESSION ANALYSIS;

ACOUSTIC EVENT DETECTIONS; AUTOMATIC SPEECH RECOGNITION; CLASSIFICATION TASKS; DISPLACEMENT INFORMATION; EVENT LOCALIZATIONS; RANDOM FORESTS; REGRESSION FORESTS; SUPERFRAME;

SPEECH RECOGNITION;

EID: 84923310555     PISSN: 23299290     EISSN: None     Source Type: Journal    
DOI: 10.1109/TASLP.2014.2367814     Document Type: Article

References (45)

1. J. Schrö der, S. Wabnik, P. W. J. van Hengel, and S. Götze, " Detection and classification of acoustic events for in-home care," in Ambient Assisted Living. New York, NY, USA: Springer, 2011, pp. 181-195
2. G. Valenzise, L. Gerosa, M. Tagliasacchi, F. Antonacci, and A. Sarti, " Scream and gunshot detection and localization for audio-surveillance systems," in Proc. IEEE Int. Conf. Adv. Video Signal Based Surveill., 2007, pp. 21-26
3. A. Temko and C. Nadeu, "Acoustic event detection in meeting-room environments, " Pattern Recogn. Lett., vol. 30, pp. 1281-1288, 2009
4. X. Zhuang, X. Zhou, M. A. Hasegawa-Johnson, and T. S. Huang, " Real-world acoustic event detection," Pattern Recogn. Lett., vol. 31, no. 12, pp. 1543-1551, 2010
5. M. Janvier,X.Alameda-Pineda, L. Girin, and R.Horaud, "Sound-event recognition with a companion humanoid, " in Proc. 12th IEEE-RAS Int. Conf. Humanoid Robots (Humanoids), 2012, pp. 104-111
6. M. Janvier, X. Alameda-Pineda, L. Girin, and R. Horaud, " Sound representation and classification benchmark for domestic robots," in Proc. IEEE Int. Conf. Robot. Autom., 2014
7. J.A. Stork,L. Spinello, J. Silva, and K.O. Arras, "Audio-based human activity recognition using non-Markovian ensemble voting, " in Proc. IEEE Int. Symp. Robot Human Interactive Commun. (RO-MAN'12), 2012, pp. 509-514
8. M. Bugalho, J. Portelo, I. Trancoso, T. Pellegrini, and A. Abad, " Detecting audio events for semantic video search," in Proc. Interspeech, 2009
9. R. F. Lyon, "Machine hearing: An emerging field, " Signal Process. Mag., vol. 27, no. 5, pp. 131-139, Sep. 2010
10. A. Temko, R. Malkin, C. Zieger, D. Macho, C. Nadeu, and M. Omologo, " Clear evaluation of acoustic event detection and classification systems," Lecture Notes in Comput. Sci., vol. 4122, pp. 311-322, 2007
11. A. Temko, C. Nadeu, D. Macho, R. Malkin, C. Zieger, and M. Omologo, " Acoustic event detection and classification," in Computers in the Human Interaction Loop. London, U.K.: Springer, 2009, pp. 61-73
12. D. Giannoulis, D. Stowell, E. Benetos, M. Rossignol, M. Lagrange, and M. D. Plumbley, " A database and challenge for acoustic scene classification and event detection," in Proc. EUSIPCO, 2013
13. J.Dennis, H. D. Tran, and E. S. Chng, " Image feature representation of the subband power distribution for robust sound event classification," IEEE Trans. Audio, Speech, Lang. Process., vol. 21, no. 2, pp. 367-377, Feb. 2013
14. L. Rabiner, " A tutorial on hidden markov models and selected applications in speech recognition," Proc. IEEE, vol. 77, no. 2, pp. 257-286, Feb. 1989
15. X. Zhou, X. Zhuang, M. Liu, H. Tang, M. Hasegawa-Johnson, and T. Huang, " HMM-based acoustic event detection with adaboost feature selection," Lecture Notes Comput. Sci., vol. 4625, pp. 345-353, 2008
16. A. Mesaros, T. Heittola, and A. E. T. Virtanen, "Acoustic event detection in real life recordings, " in Proc. EUSIPCO, 2010
17. A. Diment, T. Heittola, and T. Virtanen, " Sound event detection for office live and office synthetic AASP challenge," in Proc. IEEE AASP Challenge on Detection Classif. Acoust. Scenes Events (WASPAA), 2013
18. D. A. Reynolds and R. C. Rose, " Robust text-independent speaker identification using gaussian mixture speaker models," IEEE Trans. Speech Audio Process., vol. 3, no. 1, pp. 72-83, Jan. 1995.
19. A. Temko C. Nadeu J.-I. Biel, Acoustic event detection: SVM-based system and evaluation setup in CLEAR'07, Lecture Notes Comput. Sci, 4625, 354-363, 2008.
20. A. Plinge, R. Grzeszick, and G. Fink, "A bag-of-features approach to acoustic event detection, " in Proc. ICASSP, 2014, pp. 3704-3708
21. G. Raboshchuk, C.Nadeu,O.Ghahabi, S. Solvez, B. M. nozMahamud, A. R. de Veciana, and S. N. Hervas, " On the acoustic environment of a neonatal intensive care unit: Initial description, and detection of equipment alarms, " in Proc. Interspeech, 2014
22. H. Phan and A. Mertins, "A voting-based technique for acoustic event-specific detection, " in Proc. 40th Annual German Congr. Acoust. (DAGA), 2014
23. A. Criminisi, J. Shotton, D. Robertson, and E. Konukoglu, " Regression forests for efficient anatomy detection and localization in computed tomography scans," Med. Image Anal., vol. 17, no. 8, pp. 1293-1303, 2013.
24. J. Gall, A. Yao, N. Razavi, L. V. G. Member, and V. Lempitsky, " Hough forests for object detection, tracking, and action recognition," IEEE Trans. Pattern Anal. Mach. Intell., vol. 33, no. 11, pp. 2188-2202, Nov. 2011
25. B. Schuller, M. Wimmer, L. Mosenlechner, C. Kern, D. Arsic, and G. Rigoll, " Brute-forcing hierarchical functionals for paralinguistics: A waste of feature space?," in Proc. ICASSP, 2008, pp. 4501-4504
26. L. Breiman, "Random forest, " Mach. Learn., vol. 45, pp. 5-32, 2001
27. X. Zhuang, J. Huang, G. Potamianos, and M. Hasegawa-Johnson, " Acoustic fall detection using Gaussian mixture models and GMM supervectors," in Proc. ICASSP, 2009, pp. 69-72
28. Y. Lee, D. K. Han, and H. Ko, "Acoustic signal based abnor mal event detection in indoor environment using multiclass adaboost," in Proc. IEEE Int. Conf. Consumer Electron. (ICCE), Jan. 2013, pp. 322-323
29. A. Kumar, P. Dighe, R. Singh, S. Chaudhuri, and B. Raj, " Audio event detection from acoustic unit occurrence patterns," in Proc. ICASSP, 2012, pp. 489-492
30. Z. Huang, Y.-C. Cheng, K. Li, V. Hautamäki, and C.-H. Lee, " A blind segmentation approach to acoustic event detection based on I-vector," in Proc. Interspeech, 2013
31. C. V. Cotton and D. P.W. Ellis, "Spectral vs. spectro-temporal features for acoustic event detection, " in Proc. IEEEWorkshop Applicat. Signal Process. Audio Acoust. (WASPAA), 2011, pp. 69-72
32. J. Schrö der, B. Cauchi, M. R. Schädler, N. Moritz, K. Adiloglu, J. Anemüller, S. Doclo, B. Kollmeier, and S. Goetze, "Acoustic event detection using signal enhancement and spectro-temporal feature extraction, " in Proc. IEEEWorkshop Applicat. Signal Process. Audio Acoust. (WASPAA), 2013
33. J. F. Gemmeke, L. Vuegen, B. Vanrumste, and H. Van hamme, " An exemplar-based NMF approach for audio event detection," in Proc. IEEE Workshop Applicat. Signal Process. Audio Acoust. (WASPAA), 2013, pp. 1-4
34. X. Zhuang, X. Zhou, T. S. Huang, andM. Hasegawa-johnson, " Feature analysis and selection for acoustic event detection," in Proc. ICASSP, 2008, pp. 17-20
35. J. Chen, J. Zhang, A. H. Kam, and L. Shue, "An automatic acoustic bathroom monitoring system, " in Proc. Int. Symp. Circuits Syst. (ISCAS), 2005, pp. 1750-1753
36. C. Mü ller, J.-I. Biel, E. Kim, and D. Rosario, " Speech-overlapped acoustic event detection for automotive applications," in Proc. Interspeech, 2008
37. T. Butko, "Feature selection for multimodal acoustic event detection, " Ph.D. dissertation , Univ. Politecnica de Catalunya, Barcelona, Spain, 2011
38. T.Butko,C.Canton-Ferrer, C. Segura,X.Giró, C. Nadeu, J. Hernando, and J. R. Casas, " Acoustic event detection based on feature-level fusion of audio and video modalities," EURASIP J. Adv. Signal Process., 2011, 485738
39. P.-S. Huang, X. Zhuang, and M. Hasegawa-Johnson, "Improving acoustic event detection using generalizable visual feature s and multi-modality modeling," in Proc. ICASSP '11, May 2011, pp. 349-352
40. P. Geurts, D. Ernst, and L. Wehenkel, "Extremely randomized trees, " Mach. Learn., vol. 63, no. 1, pp. 3-4 2, 2006
41. NIST, "Spring 2007(RT-07) rich transcription meeting recognition evaluation plan, " Tech. Rep., 2007
42. C. Zieger and M. Omologo, "Acoustic event detection-ITC-irst AED database, " Internal ITC report, Tech. Rep., 2005
43. "CHIL. Computers in the human interaction loop, " [Online].Available: http://www.ipd.uka.de/CHIL/Mar 2014
44. A. Temko, D. Macho, C. Nadeu, and C. Segura, UPC-TALP database of isolated acoustic events Internal UPC Rep., Tech. Rep., 2005
45. A. J. Smola and B. Schölkopf, "A tutorial on support vector regression, " Statist. Comput., vol. 14, no. 3, pp. 199-222, 2004