Recognition of Emotional Vocalizations of Canine
We analyse a possibility of recognizing main emotional canine vocalizations. We collected a dataset of sounds produced by German Shepherd dogs and have analysed four emotional vocalizations attributed to dogs by human experts (Angry, Crying, Happy and Lonely). We suggest using cochleagram, which is a time-frequency representation of the sound signal based on the decomposition of a signal into different frequencies that are naturally selected by a human ear. The classification framework includes the generation of 50 audio features, feature ranking for frequency selection using several feature selection methods, class encoding using error-correcting Bose–Chaudhuri–Hocquenghem (BCH) code and classification using bagged decision trees. The results show that the acoustic features derived from multi-band filtering used in the production of cochleagrams can be used to recognize three dog emotional vocalizations of angry, lonely, and crying.
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Document Type: Research Article
Publication date: 01 March 2018
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- Acta Acustica united with Acustica, published together with the European Acoustics Association (EAA), is an international, peer-reviewed journal on acoustics. It publishes original articles on all subjects in the field of acoustics, such as general linear acoustics, nonlinear acoustics, macrosonics, flow acoustics, atmospheric sound, underwater sound, ultrasonics, physical acoustics, structural acoustics, noise control, active control, environmental noise, building acoustics, room acoustics, acoustic materials, acoustic signal processing, computational and numerical acoustics, hearing, audiology and psychoacoustics, speech, musical acoustics, electroacoustics, auditory quality of systems. It reports on original scientific research in acoustics and on engineering applications. The journal considers scientific papers, technical and applied papers, book reviews, short communications, doctoral thesis abstracts, etc. In irregular intervals also special issues and review articles are published.
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