Macaque emotion recognition method and system based on time-frequency double-branch features

An emotion recognition and frequency domain feature technology, applied in the computer field, can solve problems such as extraction and inability to feature, and achieve the effect of enhancing expressiveness, simplifying algorithm process, and improving recognition accuracy.
CN113643724AActive Publication Date: 2021-11-12NANHAI RES STATION OF INST OF ACOUSTICS CHINESE ACADEMY OF SCI

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
NANHAI RES STATION OF INST OF ACOUSTICS CHINESE ACADEMY OF SCI
Publication Date
2021-11-12

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Abstract

The invention discloses a macaque emotion recognition method and system based on time-frequency double-branch features, and the method comprises the steps: inputting collected macaque sounds into a pre-established and trained macaque emotion recognition model, and obtaining corresponding accurate emotion types; wherein the accurate emotion types comprise friendly emotion, attack or threat emotion, falling or compliance emotion and non-emotion; and the macaque emotion recognition model is used for extracting intermediate features of macaque sounds, performing separation and extraction on time domain features and frequency domain features based on time-frequency double branches, and determining corresponding accurate emotion categories through fusion and classification. According to the method and the system, original sound data is used as network input, emotion-related intermediate features are extracted from sound, voice preprocessing is not needed, the algorithm process is simplified, then time domain and frequency domain features are separated and extracted, compression features of the sound are obtained from different angles, the time domain and frequency domain features are fused, the expressive power of the features is enhanced, and the identification accuracy is effectively improved.
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Description

technical field

[0001] The invention relates to the field of computer technology, in particular to a macaque emotion recognition method and system based on time-frequency double-branch features. Background technique

[0002] Primates are facing a serious survival crisis. Understanding the living habits of primates has important research value for effective primate protection. In recent years, artificial intelligence (AI), especially deep learning (DL) has achieved more than classical algorithms in the application of many fields, such as the field of speech signal processing (speech recognition, speech synthesis, acoustic Pattern recognition, etc.), image processing (image recognition, image classification, image generation, instance segmentation, etc.) and text processing (text classification, text similarity detection, etc.). Because primates mostly live in dense forests and other environments, it is difficult to deploy image acquisition equipment, and monitoring equipment...

Claims

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