Ryan, N.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 available from this repository. (Contact us about this Publication)|
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.
|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:||14 Jan 2010 14:03|
|Resource URI:||http://kar.kent.ac.uk/id/eprint/1438 (The current URI for this page, for reference purposes)|
- Depositors only (login required):