Audio Classification Techniques in Home Environments for Elderly/Dependant People
The study of techniques and algorithms for “non-speech” sounds analysis and processing can be foreseen as a technological progress bringing important benefits to disadvantaged groups. This article focuses on finding solutions which allow the detection and classification of household sounds with two clearly defined objectives: 1) Helping people with hearing impairment to overcome daily situations which they have to deal with, such as warnings/alarms, door bells or telephones ringing, alarm clocks, etc. 2) To collect information from the environment which may be used to track the behavior pattern of an individual.
KeywordsSound Classification Signal Processing Assistive Technology
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- 1.Clavel, C., Ehrette, T., Richard, G.: Events Detection for an Audio-Based Surveillance System. In: IEEE International Conference on Multimedia and Expo. ICME, pp. 1306–1309 (2005)Google Scholar
- 2.Lozano, H., Hernáez, I., Navas, E., et al.: “Non-Speech” Sounds Classification for People with Hearing Disabilities. In: IX European Conference for the Advancement of Assistive Technology in Europe, AAATE, pp. 276–280 (2007)Google Scholar
- 3.Cowling, M.: Non-Speech Environmental Sound Classification System for Autonomous Surveillance. Phd Thesis. Faculty of Engineering and Information Technology, Griffith University (2004)Google Scholar
- 4.Temko, A.: Acoustic Event Detection and Classification. Phd Thesis. Universitat Politècnica de Catalunya (2007)Google Scholar
- 5.Istrate, D., Vacher, M., Serignat, J.F., Castelli, E.: Multichannel Smart Sound Sensor for Perceptive Spaces. In: Complex Systems, Intelligence and Modern Technology Applications, CSIMTA, pp. 691–696 (2004)Google Scholar
- 6.RWCP Sound Scene Database in Real Acoustical Environments: Voice Activity Detection in Noisy Environments (1998), http://tosa.mri.co.jp/sounddb/nospeech/research/indexe.htm
- 7.Atrey, K., Maddage, C., Kankanhalli, S.: Audio Based Event Detection for Multimedia Surveillance. In: IEEE International Conference on Acoustic Speech and Signal Processing ICCASP, pp. 813–816 (2006)Google Scholar