Acoustic environment as an indicator of social and physical context

Ryan, Nick S. and Smith, Dan and Ma, Ling (2006) Acoustic environment as an indicator of social and physical context. Personal and Ubiquitous Computing, 10 (4). pp. 241-254. ISSN 1617-4909. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

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Acoustic environments provide many valuable cues for context-aware computing applications. From the acoustic environment we can infer the types of activity, communication modes and other actors involved in the activity. Environmental or background noise can be classified with a high degree of accuracy using recordings from microphones commonly found in PDAs and other consumer devices. We describe an acoustic environment recognition system incorporating an adaptive learning mechanism and its use in a noise tracker. We show how this information is exploited in a mobile context framework. To illustrate our approach we describe a context-aware multimodal weather forecasting service, which accepts spoken or written queries and presents forecast information in several forms, including email, voice and sign languages.

Item Type: Article
Uncontrolled keywords: acoustic environment; context awareness; classification; machine learning; adaptive feedback; mobile computing AUDITORY SCENE ANALYSIS; AWARE APPLICATIONS; INFORMATION-RETRIEVAL; CLASSIFICATION; SOUND; AUDIO
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science
Divisions: Faculties > Science Technology and Medical Studies > School of Computing
Depositing User: Stephen Holland
Date Deposited: 19 Dec 2007 18:56
Last Modified: 05 Jun 2014 14:32
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