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Domestic cats are close friend of human from the era of human civilization. Cat can produce variety of sounds according to moods or situations. The automatic vocal sounds classification is important for better understand our close friend's demands or requirements based one the sound categorization. In this book we illustrate some deep learning-based techniques to classify the domestic cat sound based on its moods. We collect the data samples, use deep neural networks (supervised and unsupervised) to classify the sounds and then analysis them over various parameters.

Produktbeschreibung
Domestic cats are close friend of human from the era of human civilization. Cat can produce variety of sounds according to moods or situations. The automatic vocal sounds classification is important for better understand our close friend's demands or requirements based one the sound categorization. In this book we illustrate some deep learning-based techniques to classify the domestic cat sound based on its moods. We collect the data samples, use deep neural networks (supervised and unsupervised) to classify the sounds and then analysis them over various parameters.
Autorenporträt
Herr Pandeya ist Doktorand an der Chonbuk National University, Korea. Zu seinen Forschungsinteressen gehören Video- und Audioverarbeitung, Computer Vision, Emotion Engineering usw. Er verfügt über drei Jahre akademische und zwei Jahre berufliche Erfahrung. Er ist Experte für maschinelles Lernen und künstliche Intelligenz und verfügt über drei Jahre Berufserfahrung.