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Acoustic environment as an indicator of social and physical context

Ryan, Nick S., Smith, Dan, 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. (doi:10.1007/s00779-005-0045-4) (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) (KAR id:1438)

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.
Official URL:
http://dx.doi.org/10.1007/s00779-005-0045-4

Abstract

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
DOI/Identification number: 10.1007/s00779-005-0045-4
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: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Stephen Holland
Date Deposited: 19 Dec 2007 18:56 UTC
Last Modified: 16 Nov 2021 09:40 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/1438 (The current URI for this page, for reference purposes)

University of Kent Author Information

Ryan, Nick S..

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