Method and system for recognizing animal emotion through voice based on convolutional neural network
A convolutional neural network and sound recognition technology, applied in character and pattern recognition, voice analysis, instruments, etc., can solve problems such as task failure and achieve the effect of easy use
Pending Publication Date: 2022-04-19
GUIYANG SHIJIHENGTONG TECH
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Animal emotions can often be expressed from the sounds they make, but this usually requires some experienced personnel to accurately judge and identify them. In special cases, the lack of experienced animal emotion recognition personnel may lead to task failure and even bring Serious consequences
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[0027] Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. It should be understood that the preferred embodiments are only for illustrating the present invention, rather than limiting the protection scope of the present invention.
[0028] Such as Figure 1-3 Shown, the method for recognizing animal emotion by sound based on convolutional neural network comprises the following steps:
[0029] (1) Using a microphone to collect animal sounds and converting the animal sounds into digital signals;
[0030] (2) digital signal is processed and compressed and then transmitted to the sound feature recognition module; digital signal is processed to establish a trained convolutional neural network model that can recognize the data matrix;
[0031] (3) The sound feature recognition module uses the trained convolutional neural network model to extract sound features and converts the output to the emotion ca...
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The invention discloses a method for recognizing animal emotions through voices based on a convolutional neural network. The method comprises the following steps: (1) collecting animal voices and converting the animal voices into digital signals; (2) processing and compressing the digital signal, and transmitting the digital signal to a sound feature recognition module; (3) the sound feature recognition module extracts sound features by using the trained convolutional neural network model, converts the sound features and outputs the converted sound features to the emotion category recognition module; the trained convolutional neural network model is obtained by inputting animal sound marked with sound features into a convolutional neural network algorithm for training; (4) an emotion category recognition module obtains an emotion category corresponding to the animal sound by using an SVM model; according to the method, the effect of recognizing the emotion of the animal according to the voice of the animal is achieved, the human can better understand the animal, and the invention further discloses a system for recognizing the animal emotion through the voice based on the convolutional neural network.
Description
technical field [0001] The present invention relates to the field of speech recognition, in particular to a method for recognizing animal emotions through sound based on convolutional neural networks, and also relates to a system for recognizing animal emotions through sounds based on convolutional neural networks. Background technique [0002] With the development of animal behavior research, how to identify the emotions of animals and apply them in production and life has become a direction in the future. Personnel better understand its intent. Animal emotions can often be expressed from the sounds they make, but this usually requires some experienced personnel to accurately judge and identify them. In special cases, the lack of experienced animal emotion recognition personnel may lead to task failure and even bring Serious consequences. Contents of the invention [0003] In view of this, one of the purposes of the present invention is to provide a method for recognizi...
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IPC IPC(8): G10L25/63G10L25/30G10L25/03G06K9/62
CPCG10L25/63G10L25/30G10L25/03G06F18/2411
Inventor 杨兴海漆国强杨兴荣李建州李建新
Owner GUIYANG SHIJIHENGTONG TECH