Speech Emotion Recognition of Animal Vocals Using Deep Learning
Keywords:
Deep learning, Machine Learning, Cohenen Neural Network, Recurrent Neural Network etcAbstract
Emotion Detection is a crucial parame- ter in Communication. Sensing emotions correctly improves communication and helps us understand the context better. To have an effective communica- tion between two people emotions are a must. Col- laboration of sensory provocations providing infor- mation about the emotional state of others can be de- coded using Emotion Detection. But this capability is not constrained only to Humans. Latest studies suggest that higher order social functions including emotions might be present in animal species also. Animal emotion detection can be very useful human- animal communication. When cats and dogs are cap- tured in an animal shelter, they tend to show variety of emotions. This in turn can leave a long-term im- pact on them which can affect their emotional health. This Detecting animal emotions will help humans to detect pains in animals. So, a technology which can sense and detect animal emotions would be a boon.We aim to analyze audio data and speeches from animals. Machine Learning has advanced so much through Deep Neural Networks audios can be used to harness good amount of emotion-based information. When classifying the vocal abilities of the humans the machine learning has played an utmost important role.
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