Vesa T. Peltonen

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The aim of this paper is to investigate the feasibility of an audio-based context recognition system. Here, context recognition refers to the automatic classification of the context or an environment around a device. A system is developed and compared to the accuracy of human listeners in the same task. Particular emphasis is placed on the computational(More)
In this paper, we address the problem of computational auditory scene recognition and describe methods to classify auditory scenes into predefined classes. By auditory scene recognition we mean recognition of an environment using audio information only. The auditory scenes comprised tens of everyday outside and inside environments, such as streets,(More)
A listening test was conducted where the human abilities in recognizing everyday auditory scenes based on binaural recordings were studied. The accuracy, latency, and acoustic cues used by the subjects in the recognition process were analyzed. The average correct recognition rate for 19 subjects was 70% for 25 different scenes, and the average recognition(More)
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