Discrimination between different classes of environmental sounds is the goal of our work. The use of a sound recognition system can offer concrete potentialities for surveillance and security applications. The first paper contribution to this research field is represented by a thorough investigation of the applicability of state-of-the-art audio features in the domain of environmental sound recognition. Additionally, a set of novel features obtained by combining the basic parameters is introduced. The quality of the features investigated is evaluated by a HMM-based classifier to which a great interest was done. In fact, we propose to use a Multi-Style training system based on HMMs: one recognizer is trained on a database including different...
International audienceThis paper presents a method aimed at recognizing environmental sounds for sur...
International audienceThis paper presents a method aimed at recognizing environmental sounds for sur...
International audienceThis paper presents a method aimed at recognizing environmental sounds for sur...
EUROSPEECH2003: 8th European Conference on Speech Communication and Technology, September 1-4, 2003...
Environmental sounds (ES) have different characteristics, such as unstructured nature and typically ...
The acoustic environment provides a rich source of information on the types of activity, communicati...
Automatic sound recognition (ASR) has attracted increased and wide ranging interests in recent years...
This article presents a multidomain approach which addresses the problem of automatic home environme...
A detection and classification system for sound surveillance is presented. A human/non-human voice c...
Context-awareness is essential to the development of adaptive information systems. Environmental noi...
This paper presents a maximum likelihood (ML) approach, relative to the background model estimation,...
Abstract:- This paper is the continuation of previously published work in which we have been analysi...
Context-awareness is essential to the development of adaptive information systems. Environmental noi...
International audienceThis paper presents a method aimed at recognizing environmental sounds for sur...
International audienceThis paper presents a method aimed at recognizing environmental sounds for sur...
International audienceThis paper presents a method aimed at recognizing environmental sounds for sur...
International audienceThis paper presents a method aimed at recognizing environmental sounds for sur...
International audienceThis paper presents a method aimed at recognizing environmental sounds for sur...
EUROSPEECH2003: 8th European Conference on Speech Communication and Technology, September 1-4, 2003...
Environmental sounds (ES) have different characteristics, such as unstructured nature and typically ...
The acoustic environment provides a rich source of information on the types of activity, communicati...
Automatic sound recognition (ASR) has attracted increased and wide ranging interests in recent years...
This article presents a multidomain approach which addresses the problem of automatic home environme...
A detection and classification system for sound surveillance is presented. A human/non-human voice c...
Context-awareness is essential to the development of adaptive information systems. Environmental noi...
This paper presents a maximum likelihood (ML) approach, relative to the background model estimation,...
Abstract:- This paper is the continuation of previously published work in which we have been analysi...
Context-awareness is essential to the development of adaptive information systems. Environmental noi...
International audienceThis paper presents a method aimed at recognizing environmental sounds for sur...
International audienceThis paper presents a method aimed at recognizing environmental sounds for sur...
International audienceThis paper presents a method aimed at recognizing environmental sounds for sur...
International audienceThis paper presents a method aimed at recognizing environmental sounds for sur...
International audienceThis paper presents a method aimed at recognizing environmental sounds for sur...