Method for identifying Batrachia individual information based on spectral features
A spectral and individual technology, applied in speech analysis, instruments, etc., can solve problems such as lack of methods and standards
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Embodiment 1
[0031] This embodiment can identify and output the type information of the object to which the measured sound belongs according to the collected sound data whose source is known.
[0032] This embodiment includes the following steps:
[0033] Step 1: Build a feature library;
[0034] A, carry out noise elimination with the call signal feature of the pattern frog that collects;
[0035] B. Divide the noise-reduced frog cry into multiple cry sound segments according to the frog's call time;
[0036] C, carry out MFCC processing to the tweeting sound segment, extract the spectral feature value;
[0037] Steps A to C are repeatedly repeated in this way to establish a feature library of frog calls; the records in the feature library include sample spectral feature values, and each spectral feature value represents its corresponding object type.
[0038] Step 2: The calls to be identified are processed in the same way to obtain spectral feature values; the obtained data are calle...
Embodiment 2
[0054] Based on the first embodiment, this embodiment further provides information such as the individual size and health status of the tested frogs.
[0055] Step 1: Build a feature library;
[0056] A, carry out noise elimination with the call signal feature of the pattern frog that collects;
[0057] B. Divide the noise-reduced frog cry into multiple cry sound segments according to the frog's call time;
[0058] C, carry out MFCC processing to the tweeting sound segment, extract the spectral feature value;
[0059] The model frogs include various frogs in various states, such as healthy larger individuals, unhealthy larger individuals, healthy smaller individuals, unhealthy smaller individuals, etc.; there are several frogs in each state sample.
[0060] The data can be collected originally, or can be entered after demonstration based on the data in Example 1.
[0061] How many according to the category of tested frog species, repeat steps A to step C, set up the featur...
Embodiment 3
[0067] Based on the first embodiment, this embodiment further provides gender information of the tested frogs.
[0068] This embodiment includes the following steps:
[0069] Step 1: Build a feature library;
[0070] A, carry out noise elimination with the call signal feature of the pattern frog that collects;
[0071] B. Divide the noise-reduced frog cry into multiple cry sound segments according to the frog's call time;
[0072] C, carry out MFCC processing to the tweeting sound segment, extract the spectral feature value;
[0073] Repeat steps A to C, save various parameters, and establish a feature library of frog calls; each spectral feature value represents the characteristics of its corresponding object type, and further characterizes its corresponding gender characteristics.
[0074] Frogs of different sexes have different voices, such as black-spotted frogs: males are louder, and females have a deeper voice. The above features can be effectively recognized by the ...
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