Auditory Context Awareness via Wearable Computing
作者： A. Pentland , B. Clarkson , N. Sawhney
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摘要: We describe a system for obtaining environmental context through audio applications and user interfaces. are interested in identifying specific auditory events such as speakers, cars, shutting doors, scenes the office, supermarket, or busy street. Our goal is to construct that real-time robust variety of real-world environments. The current detects classifies using HMM framework. design around an adaptive structure relies on unsupervised training segmentation sound scenes.
aalto.fi 参考文章(9)
Eric Horvitz, Jed Lengyel, Perception, attention, and resources: a decision-theoretic approach to graphics rendering uncertainty in artificial intelligence. pp. 238- 249 ,(1997)
Nitin Sawhney, Contextual awareness, messaging and communication in nomadic audio environments Massachusetts Institute of Technology. ,(1998)
Jonathan Foote, A Similarity Measure for Automatic Audio Classification ,(1997)
Albert S. Bregman, Auditory Scene Analysis: The Perceptual Organization of Sound ,(1990)
Guy J. Brown, Computational auditory scene analysis : a representational approach Journal of the Acoustical Society of America. ,vol. 94, pp. 2454- 2454 ,(1993) , 10.1121/1.407441
E. Wold, T. Blum, D. Keislar, J. Wheaten, Content-based classification, search, and retrieval of audio IEEE MultiMedia. ,vol. 3, pp. 27- 36 ,(1996) , 10.1109/93.556537
Silvia Pfeiffer, Stephan Fischer, Wolfgang Effelsberg, Automatic audio content analysis Proceedings of the fourth ACM international conference on Multimedia - MULTIMEDIA '96. pp. 21- 30 ,(1996) , 10.1145/244130.244139
Bernhard Feiten, Stefan Gunzel, Automatic indexing of a sound database using self-organizing neural nets Computer Music Journal. ,vol. 18, pp. 53- 65 ,(1994) , 10.2307/3681185
Nicolas Saint-Arnaud, Classification of sound textures Massachusetts Institute of Technology. ,(1995)