Analysis method, system and equipment for whale-dolphin sound signals and medium
By filtering and Fourier transforming the audio digital signals recorded by the underwater recorder, combining preset constraints and the characteristics of the whale and porcine pulse signals, a fast and accurate whale and porcine sound signal analysis is achieved, solving the problem of time-consuming and labor-intensive analysis and experience-affected analysis in the prior art.
Patent Information
- Application Number
- CN202510471009.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-15
- Publication Date
- 2025-06-27
AI Technical Summary
The existing acoustic monitoring methods are time-consuming and labor-intensive in analyzing whale and porcine sound signals, and the analysis speed and accuracy are greatly affected by the accumulation of experience of staff.
By obtaining the audio digital signal recorded by the underwater recorder, filtering with a bandpass filter and performing fast Fourier transform, the pulse signal is filtered according to preset constraints, and the artificial pulse signal is further filtered in combination with the characteristics of the target whale porcine pulse signal.
It realizes the rapid and accurate identification and analysis of the acoustic signals of cetaceans, which can distinguish the noise of target porcine from other similar pulse signals, and improves the analysis efficiency and accuracy.
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Figure CN120220701A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the technical field of wildlife protection. Specifically, it relates to a method, system, device, and medium for analyzing cetacean acoustic signals. Background Technique
[0002] Cetaceans rely on sonar for activities such as navigation, positioning, and predation. For this reason, the industry uses underwater recording to receive the biological signals they emit for analysis to obtain the presence and relative activity intensity of the corresponding cetaceans in this water area. Existing acoustic monitoring methods usually first install underwater recording equipment in the activity waters of the target cetaceans, and then check and analyze the recorded audio files afterwards. Due to the lack of effective identification methods, in order to improve the identification rate, most rely on the experience accumulated by relevant staff for a long time to observe the fast Fourier transform images of the audio files to identify and analyze the pulse signals of cetacean sounds. However, it is time-consuming and laborious, and the analysis speed and accuracy are greatly affected by the experience accumulation of relevant staff. Summary of the Invention
[0003] The purpose of this application is to provide a method, system, device, and medium for analyzing cetacean acoustic signals, which can be used to quickly and accurately identify and analyze the acoustic signals of cetaceans.
[0004] This application is implemented as follows:
[0005] In a first aspect, this application provides a method for analyzing cetacean acoustic signals, including the following steps:
[0006] Obtain the audio digital signal recorded by the target underwater recorder; the audio digital signal is a continuous array, and each array records the sound pressure value recorded at the sampling rate of the target underwater recorder. Filter the audio digital signal using a band-pass filter, and perform a fast Fourier transform after the filtering process to obtain the corresponding time-frequency signal. Perform an operation of screening pulse signals on the time-frequency signal according to preset constraint conditions to obtain a first pulse signal sequence that meets the characteristics of the target cetacean pulse signal; the preset constraint conditions are that the ratio of the energy of the time-frequency signal at the current time resolution to the energy of the audio digital signal is greater than or equal to a preset ratio threshold, and the time interval between the appearances of two pulse signals is at least a preset number of time resolutions. Screen the first pulse signal sequence according to the characteristics of the pulse signals of the target cetacean to obtain a second pulse information sequence to filter out the artificial pulse signals in the first pulse signal sequence.
[0007] Further, based on the foregoing solution, the screening of the first pulse signal sequence according to the characteristics of the pulse signals of the target cetacean includes: screening the first pulse signal sequence according to the stability of the pulse train time and the stable change of the pulse energy intensity of the pulse signals of the target cetacean.
[0008] Further, based on the foregoing solution, the step of screening the first pulse signal sequence according to the characteristics of the pulse signal of the target cetacean to obtain the second pulse information sequence includes:
[0009] Screen out the pulse signals from the first pulse signal sequence whose stability of the pulse train time is less than the preset stability threshold and the envelope of the pulse energy presents a trigonometric function form of change, so as to obtain the second pulse information sequence.
[0010] Further, based on the foregoing solution, the filtering process of the audio digital signal by using the band-pass filter includes: performing band-pass filtering on the audio digital signal in the range of 80KHz - 150KHz by using a Butterworth filter.
[0011] In a second aspect, the present application provides an analysis system for cetacean sound signals, which includes:
[0012] A data acquisition module, configured to: acquire the audio digital signal recorded by the target underwater recorder; the audio digital signal is a continuous array, and each array records the sound pressure value recorded at the sampling rate of the target underwater recorder. A preprocessing module, configured to: perform filtering processing on the audio digital signal by using a band-pass filter, and perform a fast Fourier transform after the filtering processing to obtain a corresponding time-frequency signal. A first screening module, configured to: perform an operation of screening pulse signals on the time-frequency signal according to a preset constraint condition to obtain a first pulse signal sequence that meets the characteristics of the target cetacean pulse signal; the preset constraint condition is that the ratio of the energy of the time-frequency signal at the current time resolution to the energy of the audio digital signal is greater than or equal to a preset ratio threshold, and the time interval between the appearances of two pulse signals is at least a preset number of time resolutions. A second screening module, configured to: screen the first pulse signal sequence according to the characteristics of the pulse signal of the target cetacean to obtain a second pulse information sequence, so as to filter out the artificial pulse signals in the first pulse signal sequence.
[0013] In a third aspect, the present application provides an electronic device, which includes a memory for storing one or more programs; a processor; when the above one or more programs are executed by the above processor, the method described in any one of the first aspects above is implemented.
[0014] In a fourth aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the method described in any one of the first aspects above is implemented.
[0015] Compared with the prior art, the present application has at least the following advantages or beneficial effects:
[0016] This application proposes an analysis method for cetacean acoustic signals. First, the audio signal is preliminarily screened through preset constraint conditions to obtain a first pulse signal sequence that meets the characteristics of the target cetacean pulse signal. Then, the characteristics of the pulse signal of the target cetacean are used to screen the first pulse signal sequence to obtain a second pulse information sequence. The pulse signal of the target cetacean can be distinguished from the noise of other similar pulse signals in the water area (such as the depth sounder of a ship, the side-scan sonar of a submersible, etc.). Thus, the acoustic signal of the target cetacean can be quickly and accurately identified from the audio digital signal recorded by the target underwater recorder. BRIEF DESCRIPTION OF THE DRAWINGS
[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the accompanying drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present application and should not be regarded as limiting the scope. For those of ordinary skill in the art, other related drawings can be obtained based on these drawings without creative efforts.
[0018] Figure 1 It is a flowchart of an embodiment of an analysis method for cetacean acoustic signals of the present application;
[0019] Figure 2 It is a structural block diagram of an embodiment of an analysis system for cetacean acoustic signals of the present application;
[0020] Figure 3 It is a structural block diagram of an electronic device provided by an embodiment of the present application.
[0021] Reference numerals: 101, data acquisition module; 102, preprocessing module; 103, first screening module; 104, second screening module; 201, processor; 202, memory; 203, communication interface. DETAILED DESCRIPTION OF THE EMBODIMENTS
[0022] To make the objectives, technical solutions, and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are some, but not all, of the embodiments of the present application. Usually, the components of the embodiments of the present application described and illustrated in the accompanying drawings here can be arranged and designed in various different configurations.
[0023] The following will describe in detail some embodiments of the present application in conjunction with the accompanying drawings. Without conflict, the various embodiments and the various features in the embodiments can be combined with each other.
[0024] Embodiment 1
[0025] Please refer to Figure 1, the method for analyzing cetacean acoustic signals includes the following steps:
[0026] Step S101: Obtain the audio digital signal recorded by the target underwater recorder; the audio digital signal is a continuous array, and each array records the sound pressure value recorded at the sampling rate of the target underwater recorder.
[0027] Among them, the target underwater recorder is set in the activity waters of the target cetacean. Different fixing methods can be used under different water conditions to ensure the safety of the target underwater recorder. For example, if there is a barge in the target waters, the target underwater recorder can be fixed on the barge; if there is no barge in the target waters but there is a twin-boat buoy, the target underwater recorder can be fixed on the twin-boat buoy; if there is no barge and no twin-boat buoy in the target waters, the target underwater recorder can be fixed by setting up its own buoy.
[0028] Among them, the audio of the target underwater recorder is usually a wav file. In a lower-level implementation, the number of bits of the audio file needs to be considered to read it correctly. The voltage value recorded by the device is usually a decimal number between 0 and 1. Computers usually use a method called floating-point counting to calculate decimals. The advantage of this method is that the range of recorded data is extremely large, but the disadvantage is that the retention of digits after the decimal point is according to the standard and cannot be controlled manually. For the recording of voltage, its requirement is that the range of data is always between 0 and 1, and the digits after the decimal point cannot be easily discarded. Therefore, the standard decimal recording scheme of the computer cannot be used and needs to be modified.
[0029] Specifically, when recording sound in a wav file, the bit depth needs to be selected. Generally, there are three specifications: 8bit, 16bit, and 24bit. Different selections of specifications mean how many bits of bit width are used to record the voltage value of the sound pressure converted by the recording device into voltage under one sampling. Specifically as follows: First, read the data of the corresponding bit width as a number according to integer reading. For example, the data range read with an 8bit bit width is between 0 and 2e8 - 1, the data range read with a 16bit bit width is between 0 and 2e16 - 1, and the data range read with a 24bit bit width is between 0 and 2e24 - 1. Then divide this number by 2 to the power of the bit depth to map the data to between 0 and 1. After considering the number of bits, the actually read value is the voltage recording value of the underwater recorder, and it is necessary to convert it to the sound pressure value according to the sensitivity of the device. At this time, a continuous array will be obtained, and the value of each array is the sound pressure value recorded by the device at the sampling rate.
[0030] Please continue to refer to Figure 1 , Step S102: Use a band-pass filter to filter the audio digital signal, and perform a fast Fourier transform after the filtering process to obtain the corresponding time-frequency signal;
[0031] Through the fast Fourier transform, the frequency-domain signal can be converted into a time-domain signal, which is convenient for fast and accurate processing and analysis of the audio digital signal in the time domain. Since noise, especially low-frequency noise (which will seriously interfere with the reception of cetacean vocalizations), will inevitably be recorded during recording, taking the Yangtze finless porpoise as an example, in one implementation manner of the present application, the filtering process of the audio digital signal using a band-pass filter includes: using a Butterworth filter to perform band-pass filtering on the audio digital signal in the range of 80KHz - 150KHz. After filtering, the audio digital signal is then subjected to a fast Fourier transform. Exemplarily, its parameters are selected such that the window length is controlled to be 1e-3S according to the sampling rate, the frequency resolution is not greater than 1e3 Hz, and the overlap rate is 50%. This is because the main frequency distribution statistical range of the echolocation pulse signal of the Yangtze finless porpoise is generally between 87KHz - 145kHz. The pulse sound intensity level emitted by this species is relatively high, and the apparent sound pressure level is 163.7 - 185.6 dB (peak-to-peak sound pressure level). Due to its high energy, it is easy to distinguish from the background noise. Therefore, only the frequency band between 80KHz - 150KHz is retained after filtering.
[0032] Step S103: Perform an operation of screening pulse signals on the time-frequency signal according to a preset constraint condition to obtain a first pulse signal sequence that meets the characteristics of the target cetacean pulse signal; the preset constraint condition is that the ratio of the energy of the time-frequency signal at the current time resolution to the energy of the audio digital signal is greater than or equal to a preset ratio threshold, and the time interval between the appearances of two pulse signals is at least a preset number of time resolutions.
[0033] In the above steps, the time-frequency signal is preliminarily screened first to examine whether the sound signal at each time resolution meets the characteristics of the pulse signal of the target cetacean vocalization. The specific discrimination basis can be to calculate whether the energy from 80KHz to 150KHz can account for more than 75% of the energy of the sound signal, and the time between the appearances of two pulse signals is at least 2 time resolutions. Then, the time and energy intensity of these signal appearances are recorded as candidates for the target cetacean pulse signal, thereby obtaining the first pulse information sequence.
[0034] It should be noted that the above "two pulse signals" refer to two adjacent pulse signals. Since the pulse signals emitted by cetacean aquatic animals can be divided into long and short types according to the inter-click interval (ICI), that is, the time interval between two adjacent single pulses. The long ICI is called the echolocation signal, and the statistical value range is generally 20 ms - 80 ms (millisecond, one thousandth of a second); the short ICI is called the predation buzz, and the statistical value range is generally 2 ms - 10 ms. Therefore, at least two time resolutions mean at least an interval of 2 ms. Taking the Yangtze finless porpoise as an example, after the Yangtze finless porpoise emits a complete pulse train (usually containing 5 to hundreds of single pulses), it will pause and then emit the next pulse train. The average time interval between two adjacent pulse trains is about 6.4 seconds. However, in actual situations, there will be a situation where the pulse trains emitted by multiple finless porpoises are mixed together. Thus, if the time interval between the end of one pulse train and the start of the next pulse train is 300 ms, it is considered a different pulse. Then, for the mixture of multiple pulse trains, they can also be distinguished as different pulse trains by a 300 ms interval.
[0035] Step S104: Screen the first pulse signal sequence according to the characteristics of the pulse signals of the target cetacean to obtain a second pulse information sequence, so as to filter out the artificial pulse signals in the first pulse signal sequence.
[0036] After performing the operation of screening pulse signals on the time-frequency signal based on the characteristics of the pulse to obtain the first pulse signal sequence that meets the characteristics of the target cetacean's pulse signals, there are still a large number of signals from devices such as fish finders and depth sounders mixed in the signal. The possibility of being contaminated by artificial signals can be reduced by combining the characteristics of the target cetacean's pulse signals. Specifically, the operation of screening pulse signals on the time-frequency signal can be initially performed by the stability of the pulse train time and the stable change of the pulse energy intensity of the target cetacean's pulse signals, so as to screen out the acoustic signals that meet the characteristics of the pulse signals emitted by the target cetacean at each time resolution. Specifically, in an implementation manner of the present application, the step of screening the first pulse signal sequence according to the characteristics of the pulse signals of the target cetacean to obtain a second pulse information sequence includes: screening out the pulse signals in the first pulse signal sequence whose stability of the pulse train time is less than a preset stability threshold and the envelope of the pulse energy shows a trigonometric function form of change to obtain a second pulse information sequence. Among them, showing a trigonometric function form of change can refer to judging whether the energy transformation between pulses formed by a pulse train first increases and then decreases or first decreases and then increases, or judging by whether the change in increase and decrease only occurs once.
[0037] In specific implementation, the first pulse signal sequence can be grouped into pulse trains first. Pulses with an interval between adjacent pulses greater than 300 time resolutions are regarded as two different pulse trains. Then, the stability of the time difference of the pulse trains is evaluated (calculate the variance, and it is considered that the stability of the animal signal is less than 36), and the stable change of the pulse energy intensity is evaluated (calculate the envelope, and it is considered that the envelope of the energy of the animal signal will show a trigonometric function-like change). During the duration of the audio file, it can be rasterized according to the time resolution. The "raster grids" identified as "suspected" animal signals are recorded as 1, and the "raster grids" identified as non-animal signals are recorded as null. The subsequent analysis only considers whether the "raster grids" recorded as 1 can form reasonable pulse trains, and according to the standard that the interval between raster grids is greater than 300 time resolutions, the "raster grids" are first divided into "raster grid groups", and then it is evaluated whether the characteristics of the raster grid groups meet the two characteristics that the time difference of the pulse trains is relatively stable and the pulse energy intensity of the pulse trains changes stably. Those that meet the conditions are the pulse trains of animal vocalizations finally selected.
[0038] It should be noted that the time difference of the pulse train refers to the time interval from the current pulse to the next pulse for each pulse. For all pulses except the last one, there is a corresponding time interval. The energy of the pulse train refers to the square of the sound pressure of each pulse (in engineering, the square of the sound pressure can be used as a representative of the sound energy).
[0039] Embodiment 2
[0040] Please refer to Figure 2 , the embodiment of the present application provides an analysis system for cetacean sound signals, which includes:
[0041] A data acquisition module 101, configured to: acquire an audio digital signal recorded by a target underwater recorder; the audio digital signal is a continuous array, and each array records a sound pressure value recorded at the sampling rate of the target underwater recorder. A preprocessing module 102, configured to: filter the audio digital signal by using a band-pass filter, and perform a fast Fourier transform after the filtering process to obtain a corresponding time-frequency signal. A first screening module 103, configured to: perform an operation of screening pulse signals on the time-frequency signal according to a preset constraint condition to obtain a first pulse signal sequence that meets the characteristics of the target cetacean pulse signal; the preset constraint condition is that the ratio of the energy of the time-frequency signal at the current time resolution to the energy of the audio digital signal is greater than or equal to a preset ratio threshold, and the time interval between the appearances of two pulse signals is at least a preset number of time resolutions. A second screening module 104, configured to: screen the first pulse signal sequence according to the characteristics of the pulse signal of the target cetacean to obtain a second pulse information sequence, so as to filter out the artificial pulse signals in the first pulse signal sequence.
[0042] For the specific implementation process of the above system, please refer to the method for analyzing cetacean vocal signals provided in Embodiment 1, which will not be elaborated here.
[0043] Embodiment 3
[0044] Please refer to Figure 3 , an embodiment of the present application provides an electronic device, which includes at least one processor 201 and at least one memory 202; wherein, the processor 201 is directly connected to the memory 202, or communicates with each other through a communication interface 203, or is electrically connected through one or more communication buses or signal lines to achieve data transmission or interaction; the memory 202 stores program instructions executable by the processor 201, and the processor 201 calls the program instructions to execute a method for analyzing cetacean vocal signals. For example, it can achieve:
[0045] Obtain the audio digital signal recorded by the target underwater recorder; the audio digital signal is a continuous array, and each array records the sound pressure value recorded at the sampling rate of the target underwater recorder. Filter the audio digital signal using a band-pass filter, and perform a fast Fourier transform after the filtering process to obtain the corresponding time-frequency signal. Perform an operation of screening pulse signals on the time-frequency signal according to preset constraint conditions to obtain a first pulse signal sequence that meets the characteristics of the target cetacean pulse signal; the preset constraint conditions are that the ratio of the energy of the time-frequency signal at the current time resolution to the energy of the audio digital signal is greater than or equal to a preset ratio threshold, and the time interval between the appearances of two pulse signals is at least a preset number of time resolutions. Screen the first pulse signal sequence according to the characteristics of the pulse signal of the target cetacean to obtain a second pulse information sequence to filter out the artificial pulse signals in the first pulse signal sequence.
[0046] Among them, the memory 202 can be, but is not limited to, a random access memory (Random Access Memory, RAM), a read-only memory (Read Only Memory, ROM), a programmable read-only memory (Programmable Read-Only Memory, PROM), an erasable programmable read-only memory (Erasable Programmable Read-Only Memory, EPROM), an electrically erasable programmable read-only memory (Electric Erasable Programmable Read-Only Memory, EEPROM), etc.
[0047] The processor 201 can be an integrated circuit chip with signal processing capabilities. The processor 201 can be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), etc.; it can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.
[0048] It can be understood that Figure 3 The structure shown is only schematic, and the electronic device may also include more or fewer components than those shown in Figure 3 or have a different configuration from that shown in Figure 3 shown. Figure 3 Each component shown in can be implemented by hardware, software, or a combination thereof.
[0049] Embodiment 4
[0050] This application provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by the processor 201, it implements an analysis method for cetacean sound signals. For example, it implements:
[0051] Obtain the audio digital signal recorded by the target underwater recorder; the audio digital signal is a continuous array, and each array records the sound pressure value recorded at the sampling rate of the target underwater recorder. Use a band-pass filter to filter the audio digital signal, and perform a fast Fourier transform after the filtering process to obtain the corresponding time-frequency signal. Perform an operation of screening pulse signals on the time-frequency signal according to a preset constraint condition to obtain a first pulse signal sequence that meets the characteristics of the target cetacean pulse signal; the preset constraint condition is that the ratio of the energy of the time-frequency signal at the current time resolution to the energy of the audio digital signal is greater than or equal to a preset ratio threshold, and the time interval between the occurrences of two pulse signals is at least a preset number of time resolutions. Screen the first pulse signal sequence according to the characteristics of the pulse signal of the target cetacean to obtain a second pulse information sequence to filter out the artificial pulse signals in the first pulse signal sequence.
[0052] When the above functions are implemented in the form of software function modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present application. The foregoing storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks, or optical discs that can store program codes.
[0053] For those skilled in the art, it is obvious that the present application is not limited to the details of the above exemplary embodiments, and without departing from the spirit or basic characteristics of the present application, the present application can be implemented in other specific forms. Therefore, from any point of view, the embodiments should be regarded as exemplary and non-limiting. The scope of the present application is defined by the appended claims rather than the above description. Therefore, all changes falling within the meaning and scope of the equivalent elements of the claims are intended to be embraced within the present application. Any reference signs in the claims should not be construed as limiting the claimed rights.
Claims
1. A method for analyzing cetacean acoustic signals, characterized in that: The following steps are involved: Acquire an audio digital signal recorded by a target underwater recorder; the audio digital signal is a continuous array, each array recording a sound pressure value recorded at a sampling rate of the target underwater recorder; The audio digital signal is filtered using a bandpass filter, and a fast Fourier transform is performed after filtering to obtain a corresponding time-frequency signal; The operation of filtering pulse signals on the time-frequency signal is performed according to a preset constraint condition to obtain a first pulse signal sequence that meets the characteristics of the target whale pulse signal; the preset constraint condition is that the ratio of the energy of the time-frequency signal to the energy of the audio digital signal at the current time resolution is greater than or equal to a preset ratio threshold, and the time interval between the two pulse signals is at least a preset interval of several time resolutions; The first pulse signal sequence is screened according to the characteristics of the pulse signal of the target cetacean to obtain the second pulse information sequence, so as to filter out the artificial pulse signal in the first pulse signal sequence.
2. The method for analyzing cetacean sound signals according to claim 1, characterized in that: The step of selecting the first pulse signal sequence according to the characteristics of the pulse signal of the target cetacean comprises: The first pulse signal sequence is screened according to the stability of the pulse train time and the stable change of the pulse energy intensity of the pulse signal of the target cetacean.
3. A method for analyzing cetacean sound signals according to claim 1 or 2, characterized in that: The step of selecting the first pulse signal sequence according to the characteristics of the pulse signal of the target cetacean to obtain the second pulse information sequence comprises: Pulse signals whose pulse train time stability is less than a preset stability threshold and whose pulse energy envelope presents a change in the form of a trigonometric function are screened out from the first pulse signal sequence to obtain a second pulse information sequence.
4. The method for analyzing cetacean sound signals according to claim 1, characterized in that: The filtering process of the audio digital signal by using a bandpass filter includes: performing 80KHz-150KHz bandpass filtering on the audio digital signal by using a Butterworth filter.
5. A system for analyzing cetacean sound signals, characterized in that: include: The data acquisition module is configured to: acquire an audio digital signal recorded by a target underwater recorder; the audio digital signal is a continuous array, each array records a sound pressure value recorded at a sampling rate of the target underwater recorder; The preprocessing module is configured to: filter the audio digital signal using a bandpass filter, and perform a fast Fourier transform after the filtering process to obtain a corresponding time-frequency signal; The first screening module is configured to: screen the pulse signal of the time-frequency signal according to a preset constraint condition to obtain a first pulse signal sequence that meets the target cetacean pulse signal characteristics; the preset constraint condition is that the ratio of the energy of the time-frequency signal to the energy of the audio digital signal at the current time resolution is greater than or equal to a preset ratio threshold, and the time interval between two pulse signals is at least a preset interval of several time resolutions; The second screening module is configured to screen the first pulse signal sequence according to the characteristics of the pulse signal of the target cetacean to obtain a second pulse information sequence to filter out artificial pulse signals in the first pulse signal sequence.
6. An electronic device, characterized in that: include: A memory for storing one or more programs; processor; When the one or more programs are executed by the processor, the method according to any one of claims 1 to 4 is implemented.
7. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 4 is implemented.