Method for recognizing animal categories through voice

Abstract

The invention discloses a method for recognizing animal categories through voice, which comprises a voice input module, a voice analysis module, a microcontroller module and a voice database module, and is characterized in that the voice analysis module is respectively connected with the voice input module and the microcontroller module, and the microcontroller module is connected with the voice database module. According to the animal sound recognition method provided by the invention, after most sound of the animal boundary is stored, the content of the sound can basically cover all animal types, and according to the classification mode of the border line, all types to which the animals belong can be directly output and recognized after the animals are accurately recognized, so that the recognition accuracy is improved.

Description

technical field [0001] The invention relates to speech recognition, in particular to a method for recognizing animal categories through speech. Background technique [0002] Speech recognition is an interdisciplinary subject. In the past two decades, speech recognition technology has made remarkable progress and has begun to move from the laboratory to the market. It is expected that in the next 10 years, speech recognition technology will enter various fields such as industry, home appliances, communications, automotive electronics, medical care, home services, and consumer electronics. All confirmed similar-looking animals can use voice recognition, and based on the detection of animal calls in the environment, it is used to monitor and prevent the number of animals in the target area environment. [0003] However, the existing methods of voice recognition for animals are all improved based on human voice recognition technology. In the animal kingdom, there are few audio...

AI Technical Summary

Problems solved by technology

[0003] However, the existing methods of voice recognition for animals are all improved based on human voice recognition technology. In the animal kingdom, there are few audio, frequency and tone recognition technologies, which can only recognize common animals such as cats and dogs. In the face of sound frequencies such as dolphins or insects, it is basically impossible to distinguish. At the same time, there are many animals in the animal kingdom, the voiceprint matching method is complicated, and the database contains a lot of content. After matching similar animals, they can only output directly, and cannot form an overall match. And the output results sometimes produce geographic errors, such as recognizing the sounds recorded near the equator as animals in the north and south poles, resulting in lower recognition accuracy and lower recognition speed

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