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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)
I wish to express my gratitude to my thesis advisor and examiner Mr. Anssi Klapuri, for his constant guidance, advice, and patience throughout this work. Also, I thank the other examiners , Professor Jaakko Astola and Dr. Jyri Huopaniemi, for their insightful advice, remarks, and comments. I would like to thank my colleague Mr. Antti Eronen, for giving(More)
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