Low-altitude sound target comprehensive identification method and device based on multi-dimensional feature space
A technology of multi-dimensional features and recognition methods, applied in speech recognition, speech analysis, instruments, etc., can solve problems such as incompleteness, and achieve the effect of reducing the false alarm rate of detection and improving the target recognition rate
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Embodiment 1
[0047] A comprehensive recognition method for low-altitude acoustic targets based on multi-dimensional feature space
[0048] Such as figure 1 As shown, a method for comprehensive recognition of low-altitude acoustic targets based on multi-dimensional feature space includes the following steps:
[0049] Step 1: Acquire signals through a multi-channel acoustic sensor array.
[0050] The sampling frequency is 1024Hz, and the signal is divided into frames using a short time window with a 1s long overlap rate of 50%.
[0051] Step 2: Analyze and calculate the collected signals to obtain multi-dimensional feature vectors including time-frequency features, spatial features and harmonic features.
[0052] Time-frequency features and harmonic features are obtained through analysis and calculation of single-channel signals; spatial features are obtained through analysis and calculation of multi-channel signals.
[0053] (1) Time-frequency characteristics
[0054] The signal is obta...
Embodiment 2
[0113] A low-altitude acoustic target comprehensive recognition device based on multi-dimensional feature space
[0114] Such as Figure 4 As shown, a low-altitude acoustic target comprehensive recognition device based on multi-dimensional feature space, including:
[0115] A multi-channel sound sensor array, the multi-channel sound sensor array is used to collect sound signals;
[0116] A sound signal analysis and calculation unit, the sound signal analysis and calculation unit is used to analyze and calculate the collected signal to obtain a multi-dimensional feature vector including time-frequency features, spatial features and harmonic features;
[0117] A target recognition unit, the target recognition unit includes a target classification model, and inputs the multi-dimensional feature vector into the target classification model to perform target recognition;
[0118] A display unit, the display unit is used to display the target recognition result.
[0119] In the se...
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