Context-awareness is essential to the development of adaptive information systems. Environmental noise can provide a rich source of information about the current context. We describe our approach for automatically sensing and recognising noise from typical environments of daily life, such as office, car and city street. In this paper we present our hidden Markov model based noise classifier. We describe the architecture of the system, compare classification results from the system with human listening tests, and discuss open issues in environmental noise classification for mobile computing. 1
State of the art environmental noise monitoring systems are based on digital signal processing. In g...
This paper aims to contribute to the field of ambient intelligence from the perspective of real envi...
This work is focused on the automatic recognition of environmental noise sources that affect humans’...
Context-awareness is essential to the development of adaptive information systems. Environmental noi...
Context-awareness is essential to the development of adaptive information systems. Much work has bee...
Acoustic environments provide many valuable cues for context-aware computing applications. From the ...
Acoustic environments provide many valuable cues for context-aware computing applications. From the ...
The sound at the same decibel (dB) level may be perceived either as annoying noise or as pleasant mu...
Discrimination between different classes of environmental sounds is the goal of our work. The use of...
Environmental noise monitoring systems continuously measure sound levels without assigning these mea...
Background environmental noises degrade the performance of speech-processing systems (e.g. speech co...
A noise map facilitates the monitoring of environmental noise pollution in urban areas. It can raise...
A noise map facilitates the monitoring of environmental noise pollution in urban areas. It can raise...
Noise is defined as any undesired sound. Urban noise and its effect on citizens area significant env...
This work is focused on the automatic recognition of environmental noise sources that affect humans’...
State of the art environmental noise monitoring systems are based on digital signal processing. In g...
This paper aims to contribute to the field of ambient intelligence from the perspective of real envi...
This work is focused on the automatic recognition of environmental noise sources that affect humans’...
Context-awareness is essential to the development of adaptive information systems. Environmental noi...
Context-awareness is essential to the development of adaptive information systems. Much work has bee...
Acoustic environments provide many valuable cues for context-aware computing applications. From the ...
Acoustic environments provide many valuable cues for context-aware computing applications. From the ...
The sound at the same decibel (dB) level may be perceived either as annoying noise or as pleasant mu...
Discrimination between different classes of environmental sounds is the goal of our work. The use of...
Environmental noise monitoring systems continuously measure sound levels without assigning these mea...
Background environmental noises degrade the performance of speech-processing systems (e.g. speech co...
A noise map facilitates the monitoring of environmental noise pollution in urban areas. It can raise...
A noise map facilitates the monitoring of environmental noise pollution in urban areas. It can raise...
Noise is defined as any undesired sound. Urban noise and its effect on citizens area significant env...
This work is focused on the automatic recognition of environmental noise sources that affect humans’...
State of the art environmental noise monitoring systems are based on digital signal processing. In g...
This paper aims to contribute to the field of ambient intelligence from the perspective of real envi...
This work is focused on the automatic recognition of environmental noise sources that affect humans’...