CN114979814A - Dialing detection method and device under dual-tone multi-frequency-band transmission scene and electronic equipment - Google Patents
Dialing detection method and device under dual-tone multi-frequency-band transmission scene and electronic equipment Download PDFInfo
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- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04Q1/00—Details of selecting apparatus or arrangements
- H04Q1/18—Electrical details
- H04Q1/30—Signalling arrangements; Manipulation of signalling currents
- H04Q1/44—Signalling arrangements; Manipulation of signalling currents using alternate current
- H04Q1/444—Signalling arrangements; Manipulation of signalling currents using alternate current with voice-band signalling frequencies
- H04Q1/45—Signalling arrangements; Manipulation of signalling currents using alternate current with voice-band signalling frequencies using multi-frequency signalling
- H04Q1/457—Signalling arrangements; Manipulation of signalling currents using alternate current with voice-band signalling frequencies using multi-frequency signalling with conversion of multifrequency signals into digital signals
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
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- H04W24/08—Testing, supervising or monitoring using real traffic
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The embodiment of the invention provides a dialing detection method, a device and electronic equipment under a dual-tone multi-frequency in-band transmission scene, wherein the method comprises the following steps: splitting an acquired voice signal generated by dialing into voice frame signals; calculating the energy of each voice frame signal in a time domain, the amplitude of each preset frequency point and the energy of each preset frequency band for judgment, and determining the voice frame signals of which the energy in the time domain, the amplitude of each preset frequency point and the energy of each preset frequency band meet preset judgment conditions as dual-tone multi-frequency signals; and looking up a table to obtain key values corresponding to the dual-tone s multi-frequency signals according to the energy of the dual-tone multi-frequency signals on each preset frequency band, and determining the key values corresponding to the voice signals. By the embodiment of the invention, the background interference noise is quickly detected and abandoned when the continuous dialing detection is carried out, so that the anti-interference performance of DTMF is improved, the error in the continuous dialing detection is reduced, and the accuracy of the detection result is improved.
Description
Technical Field
The invention relates to the technical field of mobile communication, in particular to a method and a device for detecting dialing under a dual-tone multi-frequency in-band transmission scene and electronic equipment.
Background
Dual Tone Multi Frequency (DTMF) of core network voice communication is a technology for realizing fast and reliable transmission of telephone numbers, and has a high transmission speed, so that it can be widely used in telephone communication systems.
In the prior art, DTMF in-band transmission can be used for continuous dial detection. However, a large amount of interference noise may exist in the voice call process, and because the DTMF interference resistance is poor, when DTMF in-band transmission is used for continuous dialing detection, the error is large, and the detection result is inaccurate.
Disclosure of Invention
The embodiment of the invention aims to provide a dialing detection method, a dialing detection device and electronic equipment under a dual-tone multi-frequency in-band transmission scene, so as to solve the problem that when DTMF in-band transmission is used for continuous dialing detection, the error is large, and the detection result is inaccurate.
In order to solve the above technical problem, the embodiment of the present invention is implemented as follows:
in a first aspect, an embodiment of the present invention provides a method for detecting dialing in a dual tone multi-band transmission scenario, including:
splitting an acquired voice signal generated by dialing into voice frame signals;
calculating the energy of each voice frame signal in a time domain, the amplitude on each preset frequency point and the energy on each preset frequency band for judgment, and determining the voice frame signals of which the energy in the time domain, the amplitude on each preset frequency point and the energy on each preset frequency band meet preset judgment conditions as dual-tone multi-frequency signals; the preset frequency points correspond to preset frequency bands one to one;
according to the energy of each DTMF signal on each preset frequency band, looking up a table to obtain a key value corresponding to each DTMF signal;
and determining the key value corresponding to the voice signal according to the key value corresponding to each dual-tone multi-frequency signal corresponding to the voice signal.
In a second aspect, an embodiment of the present invention provides a device for detecting dialing in a dual-tone multi-band transmission scenario, including:
the acquisition module is used for splitting the acquired voice signal generated by dialing into voice frame signals;
the calculation module is used for calculating the energy of each voice frame signal in the time domain, the amplitude on each preset frequency point and the energy on each preset frequency band to judge, and determining the voice frame signals of which the energy in the time domain, the amplitude on each preset frequency point and the energy on each preset frequency band meet preset judgment conditions as the dual-tone multi-frequency signals; the preset frequency points correspond to preset frequency bands one by one;
the retrieval module is used for looking up a table to obtain key values corresponding to the dual-tone multi-frequency signals according to the energy of the dual-tone multi-frequency signals on each preset frequency band;
and the conclusion module is used for determining the key values corresponding to the voice signals according to the key values corresponding to the dual-tone multi-frequency signals corresponding to the voice signals.
In a third aspect, an embodiment of the present invention provides an electronic device, including a processor, a communication interface, a memory, and a communication bus; the processor, the communication interface and the memory complete mutual communication through a bus; the memory is used for storing a computer program; the processor is configured to execute the program stored in the memory, and implement the dialing detection method in the dual-tone multi-band transmission scenario according to the first aspect.
In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps of the dial number detection method in the dual-tone multi-band transmission scenario according to the first aspect are implemented.
According to the technical scheme provided by the embodiment of the invention, the embodiment of the invention calculates the energy of the voice frame signal in the time domain; under the condition that the energy in the time domain is greater than or equal to a preset first threshold value, calculating the amplitude of the voice frame signal on each preset frequency point; under the condition that the highest amplitude of the frequency point of the low-frequency group of the voice frame signal is greater than or equal to a preset second threshold value, and the highest amplitude of the frequency point of the high-frequency group of the voice frame signal is greater than or equal to a preset third threshold value, calculating the energy of the voice frame signal on each preset frequency band; and under the condition that the maximum energy of the voice frame signal on the frequency band corresponding to the low-frequency group and the maximum energy of the voice frame signal on the frequency band corresponding to the high-frequency group respectively meet the preset energy threshold conditions, determining that the voice frame signal is a multi-tone multi-frequency signal, and then performing table lookup on the DTMF signal to determine a key value. By the embodiment of the invention, the background interference noise is quickly detected and discarded when the continuous dialing detection is carried out, so that the anti-interference performance of DTMF is improved, the error in the continuous dialing detection is reduced, and the accuracy of the detection result is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only some embodiments described in the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic flowchart of a method for detecting dialing in a dual tone multi-band transmission scenario according to an embodiment of the present invention;
fig. 2 is another schematic flow chart of a method for detecting a dialed number in a dual-tone multi-band transmission scenario according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a dialing detection apparatus in a dual tone multi-band transmission scenario according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The embodiment of the invention provides a dialing detection method and device under a dual-tone multi-frequency in-band transmission scene and electronic equipment.
In order to make those skilled in the art better understand the technical solution of the present invention, the technical solution in the embodiment of the present invention will be clearly and completely described below with reference to the drawings in the embodiment of the present invention, and it is obvious that the described embodiment is only a part of the embodiment of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, an embodiment of the present invention provides a method for detecting dialing in a dual-tone multi-band transmission scenario, where an execution subject of the method may be a signal detection device. The method may specifically comprise the steps of:
step S110, splitting the acquired voice signal generated by dialing into voice frame signals.
The detection device can split the voice frame signal according to the frame duration of the preset voice frame signal, and the frame duration can be determined according to transmission negotiation and can be any duration such as 20ms, 50ms and the like.
Further, the specific processing manner of step S110 may be various, and an alternative processing manner is provided below.
The detection device determines the frame duration according to the sampling rate and the signal duration; the sampling rate may be a sampling rate of a wire mesh, and for example, 8k or 16k may be adopted. In one implementation of this section, the frame duration is ((sample rate/4) × signal duration).
And splitting the acquired voice signal generated by dialing into a plurality of voice frame signals according to the frame duration.
Step S120, calculating the energy of each voice frame signal in the time domain, the amplitude at each preset frequency point and the energy at each preset frequency band for judgment, and determining the voice frame signals of which the energy in the time domain, the amplitude at each preset frequency point and the energy at each preset frequency band meet preset judgment conditions as dual-tone multi-frequency signals; the preset frequency points and the preset frequency bands can be in one-to-one correspondence.
It should be understood that, the calculating of the energy of the voice frame signal in the time domain may specifically convert the voice frame signal into a Pulse Code Modulation (PCM) Code stream voice frame signal, and obtain a maximum sampling value of each voice frame signal in the time domain as the energy of the voice frame signal in the time domain.
It should be understood that the amplitude of the speech frame signal at each preset frequency point may be calculated specifically by using a preset algorithm, for example, Goertazel algorithm, to calculate the amplitude of Fast Fourier Transform (FFT) or Discrete Fourier Transform (DFT) of each speech frame signal at each preset frequency point, and for simplicity, the amplitude of DFT at a frequency point is exemplified in the following embodiments. .
In one embodiment, the preset frequency points may be frequency points of a low frequency group selected in a low frequency band and frequency points of a high frequency group selected in a high frequency band, respectively. The frequency points of the low frequency group may be 705Hz, 784Hz, 862Hz, 941Hz selected at frequency intervals of 78Hz-79Hz within a low frequency band of 625Hz to 1025Hz, and the frequency points of the high frequency group may be 1176Hz, 1333Hz, 1490Hz, 1647Hz selected within a high frequency band of 1176Hz to 1674 Hz. In addition, in addition to the frequency points of the four low-frequency groups and the frequency points of the four high-frequency groups, the preset frequency points may further include frequency points selected outside the low-frequency band and the high-frequency band.
It should be understood that the amplitude of the speech frame signal in each predetermined frequency band may specifically be calculated by using a predetermined algorithm, for example, Goertazel algorithm, to obtain the energy of FFT or DFT of each speech frame signal in each predetermined frequency band, and for simplicity, the energy of FFT in each frequency band is taken as an example in the following embodiments. The preset frequency band is a frequency band corresponding to each predicted frequency point.
The preset judgment condition specifically judges whether the energy magnitude in the time domain, the amplitude magnitude of each preset frequency point and the energy magnitude in each preset frequency band meet the corresponding threshold condition through a preset threshold. If the judgment condition is not met, judging that the voice frame signal is not a DTMF signal but possibly interference noise, and discarding the voice frame signal at the moment; if the judgment condition is met, the voice frame signal is judged to be a DTMF signal.
Step S130, according to the energy of each DTMF signal on each preset frequency band, a table is looked up to obtain a key value corresponding to each DTMF signal.
And after the voice frame signal is determined to be the DTMF signal, looking up a table according to the calculated energy of the DTMF signal on each preset frequency band to obtain a key value corresponding to the DTMF signal, namely the key value corresponding to the voice frame signal.
Step S140, determining a key value corresponding to the voice signal according to the key value corresponding to each dual-tone multi-frequency signal corresponding to the voice signal.
And counting key values corresponding to the DTMF signals in each voice frame signal obtained by splitting the voice signals, and determining the key values corresponding to the voice signals.
According to the technical scheme provided by the embodiment of the invention, the embodiment of the invention divides the acquired voice signal generated by dialing into voice frame signals; calculating the energy of each voice frame signal in a time domain, the amplitude on each preset frequency point and the energy on each preset frequency band for judgment, and determining the voice frame signals of which the energy in the time domain, the amplitude on each preset frequency point and the energy on each preset frequency band meet preset judgment conditions as dual-tone multi-frequency signals; according to the energy of each DTMF signal on each preset frequency band, looking up a table to obtain a key value corresponding to each DTMF signal; and determining the key value corresponding to the voice signal according to the key value corresponding to each dual-tone multi-frequency signal corresponding to the voice signal. By the embodiment of the invention, the background interference noise is quickly detected and abandoned when the continuous dialing detection is carried out, so that the anti-interference performance of DTMF is improved, the error in the continuous dialing detection is reduced, and the accuracy of the detection result is improved.
Based on the above embodiment, further, as shown in fig. 2, the specific processing manner of the step S120 may be varied, and an alternative processing manner is provided below, which may specifically refer to the processing of the steps S121 to S124 described below.
And step S121, calculating the energy of the voice frame signal in the time domain.
In one embodiment, the detection device may include: the device comprises a total energy threshold judging unit, an amplitude calculating unit, an amplitude basic judging unit, a sub-band energy calculating unit, a sub-band energy enhancing judging unit and a DTMF dual-tone frequency searching unit.
The total energy threshold judging unit is used for splitting the acquired voice signal into a plurality of voice frame signals, calculating the energy of each voice frame signal in the time domain, comparing the energy with a preset first threshold, discarding the voice frame signals of which the energy in the time domain is less than the first threshold, reserving the voice frame signals of which the energy is more than or equal to the first threshold, and transmitting the voice frame signals to the amplitude calculating unit.
Step S122, under the condition that the energy in the time domain is greater than or equal to a preset first threshold value, calculating the amplitude of the voice frame signal on each preset frequency point; the preset frequency points comprise frequency points of a low-frequency group and frequency points of a high-frequency group.
The amplitude calculating unit calculates the DFT amplitude of each received voice frame signal on each preset frequency point by adopting a Goertzel algorithm and transmits the DFT amplitude to the amplitude basic judging unit. And the amplitude basic judging unit judges the DFT amplitude of each voice frame signal on each preset frequency point.
In one embodiment, the DFT amplitude of the speech frame signal at the frequency point of the low frequency group is compared with a second threshold, and the DFT amplitude of the speech frame signal at the frequency point of the high frequency group is compared with a third threshold. If the DFT amplitude of the voice frame signal on the frequency point of the low-frequency group has a DFT amplitude which is more than or equal to a second threshold value, and the DFT amplitude of the voice frame signal on the frequency point of the high-frequency group has a DFT amplitude which is more than or equal to a third threshold value, preliminarily determining that the voice frame signal is a DTMF signal, and transmitting the voice frame signal to a frequency division section energy calculation unit; otherwise, the voice frame signal is abandoned.
Step S123, calculating the energy of the voice frame signal on each preset frequency band under the condition that the highest amplitude of the frequency point of the low frequency group of the voice frame signal is greater than or equal to a preset second threshold value, and the highest amplitude of the frequency point of the high frequency group of the voice frame signal is greater than or equal to a preset third threshold value.
The sub-band energy calculating unit selects a plurality of frequency points, the selected frequency points are divided into a low frequency group, a high frequency group and a compensation group, and the sub-band energy calculating unit also calculates FFT energy of the sub-band of the voice frame signal which is preliminarily identified as the DTMF signal at the selected frequency points and transmits the FFT energy to the sub-band energy enhancing judging unit.
Step S124, determining that the speech frame signal is a multi-tone multi-frequency signal when the maximum energy of the speech frame signal in the frequency band corresponding to the low frequency group and the maximum energy of the speech frame signal in the frequency band corresponding to the high frequency group respectively satisfy a preset energy threshold condition.
And the sub-band energy enhancement judging unit judges the sub-band FFT amplitude of the voice frame signal preliminarily determined as the DTMF signal according to a preset energy threshold condition. For example, it may be determined whether the energy in the frequency band corresponding to the low frequency group and the energy in the frequency band corresponding to the high frequency group exceed a preset energy threshold, and if so, it is determined that the energy threshold condition is satisfied, and the speech frame signal is determined to be a DTMF signal that is finally determined, and is transmitted to a DTMF tone frequency retrieval unit; otherwise, the voice frame signal is abandoned.
In one embodiment, the step S124 includes:
obtaining a first average energy Lowmean according to the energy of the voice frame signal on the frequency band corresponding to the low frequency group, and obtaining a second average energy Highmean according to the energy of the voice frame signal on the frequency band corresponding to the high frequency group; for example, taking the case that the low frequency group and the high frequency group respectively include four frequency points, respectively calculating an average value of energy of each speech frame signal in a frequency band corresponding to the frequency points of the four low frequency groups as a first average energy LowMean, and an average value of energy in a frequency band corresponding to the frequency points of the four high frequency groups as a second average energy HighMean.
Obtaining the maximum energy LOW of the voice frame signal on the frequency band corresponding to the LOW frequency group and the maximum energy HIGH of the voice frame signal on the frequency band corresponding to the HIGH frequency group according to a first energy threshold LOW, a second energy threshold HIGH and a detection trigger energy gradient coefficient DETECT; the maximum energy in the frequency band corresponding to the LOW frequency group is greater than or equal to a preset first energy threshold LOW and greater than or equal to a product LowMean detected by the first average energy and the detection trigger energy gradient coefficient, and the maximum energy in the frequency band corresponding to the HIGH frequency group is greater than or equal to a preset second energy threshold HIGH and greater than or equal to a product HighMean detected by the second average energy and the detection trigger energy gradient coefficient.
And determining the voice frame signal to be a DTMF signal under the condition that the maximum energy on the frequency band corresponding to the low frequency group and the maximum energy on the frequency band corresponding to the high frequency group are both greater than or equal to a preset third energy threshold value, for example, greater than or equal to 0.
The specific calculation process is as follows:
energy l of frequency bands corresponding to frequency points of four low-frequency groups obtained through cyclic traversal calculation i Judgment of l i Whether the current value is more than or equal to LOW and more than or equal to LowMean DETECT, if so, assigning l to LOW i ；
Energy h of frequency bands corresponding to frequency points of four high-frequency groups obtained through circular traversal calculation k Judgment of h k If the value is greater than or equal to HIGH and greater than or equal to HIGH mean DETECT, if so, the value is given h k 。
Judging whether low and high are both effective values larger than a third energy threshold value 0, if not, indicating that the voice frame signal is interference noise, and abandoning the voice frame signal at the moment; if yes, determining the voice frame signal to be a DTMF signal.
Further, the step S130 includes:
step S131, according to the maximum energy of the voice frame signal on the frequency band corresponding to the low frequency group and the maximum energy on the frequency band corresponding to the high frequency group, a table is looked up to obtain a key value corresponding to the dual-tone multi-frequency signal.
And the DTMF dual-tone frequency retrieval unit searches and outputs a corresponding key value of the dialing on a preset DTMF frequency table according to the maximum energy of the voice frame signal on the frequency band corresponding to the low-frequency group and the maximum energy on the frequency band corresponding to the high-frequency group.
Further, the step S140 includes:
and counting to obtain the counted number DetectCount of each key value according to the key value corresponding to each multi-tone multi-frequency signal corresponding to the voice signal.
And taking the key values with the statistical number larger than or equal to the effective width as the key values corresponding to the voice signals.
In an embodiment, the statistical number may be a number of continuously obtained key values, that is, if the key value is a detected key value, the corresponding detetcount is added by 1, and the detetcount is compared with the effective width. And if the statistical quantity detectccount reaches or exceeds the effective width, determining the statistical quantity detectccount as a key value of the dialing corresponding to the voice signal acquired this time. If the key value is not the detected key value, recording a new key value and re-counting the DetectCount.
According to the technical scheme provided by the embodiment of the invention, the embodiment of the invention calculates the energy of the voice frame signal in the time domain; under the condition that the energy in the time domain is greater than or equal to a preset first threshold value, calculating the amplitude of the voice frame signal on each preset frequency point; under the condition that the highest amplitude of the frequency point of the low-frequency group of the voice frame signal is greater than or equal to a preset second threshold value, and the highest amplitude of the frequency point of the high-frequency group of the voice frame signal is greater than or equal to a preset third threshold value, calculating the energy of the voice frame signal on each preset frequency band; and under the condition that the maximum energy of the voice frame signal on the frequency band corresponding to the low-frequency group and the maximum energy of the voice frame signal on the frequency band corresponding to the high-frequency group respectively meet the preset energy threshold conditions, determining that the voice frame signal is a multi-tone multi-frequency signal, and then performing table lookup on the DTMF signal to determine a key value. By the embodiment of the invention, the background interference noise is quickly detected and discarded when the continuous dialing detection is carried out, so that the anti-interference performance of DTMF is improved, the error in the continuous dialing detection is reduced, and the accuracy of the detection result is improved.
On the basis of the same technical concept, an embodiment of the present invention further provides a device for detecting dialing in a dual-tone multi-band transmission scenario, where fig. 3 is a schematic diagram of modules of the device for detecting dialing in a dual-tone multi-band transmission scenario provided in the embodiment of the present invention, the device for detecting dialing in a dual-tone multi-band transmission scenario is used to execute the method for detecting dialing in a dual-tone multi-band transmission scenario described in fig. 1 to 2, and as shown in fig. 3, the device for detecting dialing in a dual-tone multi-band transmission scenario includes: an acquisition module 301, a calculation module 302, a retrieval module 303, and a conclusion module 304.
The acquisition module 301 is configured to split an acquired voice signal generated by dialing into voice frame signals; the calculating module 302 is configured to calculate energy of each voice frame signal in a time domain, an amplitude at each preset frequency point, and energy at each preset frequency band to perform judgment, and determine a voice frame signal in which the energy in the time domain, the amplitude at each preset frequency point, and the energy at each preset frequency band all satisfy preset judgment conditions as a dual tone multi-frequency signal; the preset frequency points correspond to preset frequency bands one to one; the retrieval module 303 is configured to look up a table to obtain a key value corresponding to each dtmf signal according to energy of each dtmf signal in each preset frequency band; the conclusion module 304 is configured to determine a key value corresponding to the voice signal according to a key value corresponding to each dual tone multi-frequency signal corresponding to the voice signal.
Further, the acquisition module 301 is configured to:
determining the frame duration according to the sampling rate and the signal duration;
and splitting the acquired voice signal generated by dialing into voice frame signals according to the frame duration.
According to the technical scheme provided by the embodiment of the invention, the embodiment of the invention divides the acquired voice signal generated by dialing into voice frame signals; calculating the energy of each voice frame signal in a time domain, the amplitude on each preset frequency point and the energy on each preset frequency band for judgment, and determining the voice frame signals of which the energy in the time domain, the amplitude on each preset frequency point and the energy on each preset frequency band meet preset judgment conditions as dual-tone multi-frequency signals; according to the energy of each DTMF signal on each preset frequency band, looking up a table to obtain a key value corresponding to each DTMF signal; and determining the key value corresponding to the voice signal according to the key value corresponding to each dual-tone multi-frequency signal corresponding to the voice signal. By the embodiment of the invention, the background interference noise is quickly detected and discarded when the continuous dialing detection is carried out, so that the anti-interference performance of DTMF is improved, the error in the continuous dialing detection is reduced, and the accuracy of the detection result is improved.
Based on the foregoing embodiment, further, the calculation module is configured to:
calculating the energy of the voice frame signal in the time domain;
under the condition that the energy in the time domain is greater than or equal to a preset first threshold value, calculating the amplitude of the voice frame signal on each preset frequency point; the preset frequency points comprise frequency points of a low-frequency group and frequency points of a high-frequency group;
under the condition that the highest amplitude of the frequency point of the low-frequency group of the voice frame signal is greater than or equal to a preset second threshold value, and the highest amplitude of the frequency point of the high-frequency group of the voice frame signal is greater than or equal to a preset third threshold value, calculating the energy of the voice frame signal on each preset frequency band;
and under the condition that the maximum energy of the voice frame signal on the frequency band corresponding to the low-frequency group and the maximum energy of the voice frame signal on the frequency band corresponding to the high-frequency group respectively meet preset energy threshold conditions, determining that the voice frame signal is a multi-tone multi-frequency signal.
Further, the computing module is to:
obtaining a first average energy according to the energy of the voice frame signal on the frequency band corresponding to the low frequency group, and obtaining a second average energy according to the energy of the voice frame signal on the frequency band corresponding to the high frequency group;
obtaining the maximum energy of the voice frame signal on the frequency band corresponding to the low frequency group and the maximum energy of the voice frame signal on the frequency band corresponding to the high frequency group according to the first energy threshold, the second energy threshold and the detection trigger energy gradient coefficient; the maximum energy on the frequency band corresponding to the low frequency group is greater than or equal to a preset first energy threshold and greater than or equal to the product of the first average energy and the gradient coefficient of the detection trigger energy, and the maximum energy on the frequency band corresponding to the high frequency group is greater than or equal to a preset second energy threshold and greater than or equal to the product of the second average energy and the gradient coefficient of the detection trigger energy;
and under the condition that the maximum energy on the frequency band corresponding to the low frequency group and the maximum energy on the frequency band corresponding to the high frequency group are both greater than or equal to a preset third energy threshold value, determining that the voice frame signal is a multi-tone multi-frequency signal.
Further, the retrieval module is configured to look up a table according to the maximum energy of the voice frame signal in the frequency band corresponding to the low frequency group and the maximum energy in the frequency band corresponding to the high frequency group to obtain a key value corresponding to the dtmf signal.
Further, the conclusion module is configured to:
counting to obtain the counted number of the key values according to the key values corresponding to the multi-tone multi-frequency signals corresponding to the voice signals;
and taking the key values with the statistical number larger than or equal to the effective width as the key values corresponding to the voice signals.
According to the technical scheme provided by the embodiment of the invention, the embodiment of the invention calculates the energy of the voice frame signal in the time domain; under the condition that the energy in the time domain is greater than or equal to a preset first threshold value, calculating the amplitude of the voice frame signal on each preset frequency point; under the condition that the highest amplitude of the frequency point of the low-frequency group of the voice frame signal is greater than or equal to a preset second threshold value, and the highest amplitude of the frequency point of the high-frequency group of the voice frame signal is greater than or equal to a preset third threshold value, calculating the energy of the voice frame signal on each preset frequency band; and under the condition that the maximum energy of the voice frame signal on the frequency band corresponding to the low-frequency group and the maximum energy of the voice frame signal on the frequency band corresponding to the high-frequency group respectively meet the preset energy threshold conditions, determining that the voice frame signal is a multi-tone multi-frequency signal, and then performing table lookup on the DTMF signal to determine a key value. By the embodiment of the invention, the background interference noise is quickly detected and abandoned when the continuous dialing detection is carried out, so that the anti-interference performance of DTMF is improved, the error in the continuous dialing detection is reduced, and the accuracy of the detection result is improved.
The dialing detection device under the dual-tone multi-band transmission scene provided by the embodiment of the invention can realize each process in the embodiment corresponding to the dialing detection method under the dual-tone multi-band transmission scene, and in order to avoid repetition, the process is not repeated.
It should be noted that the device for detecting dialing in a dual-tone multi-band transmission scenario and the method for detecting dialing in a dual-tone multi-band transmission scenario provided by the embodiments of the present invention are based on the same inventive concept, and therefore specific implementation of the embodiments may refer to implementation of the method for detecting dialing in a dual-tone multi-band transmission scenario, and repeated details are not repeated.
On the basis of the same technical concept, an embodiment of the present invention further provides an electronic device for executing the method for detecting dialing in the dual tone multi-band transmission scenario, where fig. 4 is a schematic structural diagram of an electronic device implementing the embodiments of the present invention, as shown in fig. 4. Electronic devices may vary widely in configuration or performance and may include one or more processors 401 and memory 402, where the memory 402 may store one or more stored applications or data. Wherein memory 402 may be transient or persistent. The application program stored in memory 402 may include one or more modules (not shown), each of which may include a series of computer-executable instructions for the electronic device. Still further, the processor 401 may be configured to communicate with the memory 402 to execute a series of computer-executable instructions in the memory 402 on the electronic device. The electronic device may also include one or more power supplies 403, one or more wired or wireless network interfaces 404, one or more input-output interfaces 405, one or more keyboards 406.
Specifically, in this embodiment, the electronic device includes a processor, a communication interface, a memory, and a communication bus; the processor, the communication interface and the memory complete mutual communication through a bus; the memory is used for storing a computer program; the processor is used for executing the program stored in the memory and realizing the following method steps:
splitting an acquired voice signal generated by dialing into voice frame signals;
calculating the energy of each voice frame signal in a time domain, the amplitude on each preset frequency point and the energy on each preset frequency band for judgment, and determining the voice frame signals of which the energy in the time domain, the amplitude on each preset frequency point and the energy on each preset frequency band meet preset judgment conditions as dual-tone multi-frequency signals; the preset frequency points correspond to preset frequency bands one to one;
according to the energy of each DTMF signal on each preset frequency band, looking up a table to obtain a key value corresponding to each DTMF signal;
and determining the key value corresponding to the voice signal according to the key value corresponding to each dual-tone multi-frequency signal corresponding to the voice signal.
An embodiment of the present application further provides a computer-readable storage medium, in which a computer program is stored, and when executed by a processor, the computer program implements the following method steps:
splitting an acquired voice signal generated by dialing into voice frame signals;
calculating the energy of each voice frame signal in a time domain, the amplitude on each preset frequency point and the energy on each preset frequency band for judgment, and determining the voice frame signals of which the energy in the time domain, the amplitude on each preset frequency point and the energy on each preset frequency band meet preset judgment conditions as dual-tone multi-frequency signals; the preset frequency points correspond to preset frequency bands one by one;
according to the energy of each DTMF signal on each preset frequency band, looking up a table to obtain a key value corresponding to each DTMF signal;
and determining the key value corresponding to the voice signal according to the key value corresponding to each dual-tone multi-frequency signal corresponding to the voice signal.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, apparatus, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, an electronic device includes one or more processors (CPUs), input/output interfaces, a network interface, and a memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, apparatus or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. A method for detecting dialing in a dual tone multi-frequency in-band transmission scene is characterized by comprising the following steps:
splitting an acquired voice signal generated by dialing into voice frame signals;
calculating the energy of each voice frame signal in a time domain, the amplitude on each preset frequency point and the energy on each preset frequency band for judgment, and determining the voice frame signals of which the energy in the time domain, the amplitude on each preset frequency point and the energy on each preset frequency band meet preset judgment conditions as dual-tone multi-frequency signals;
according to the energy of each DTMF signal on each preset frequency band, looking up a table to obtain a key value corresponding to each DTMF signal;
and determining the key value corresponding to the voice signal according to the key value corresponding to each dual-tone multi-frequency signal corresponding to the voice signal.
2. The method according to claim 1, wherein the calculating of the energy of each speech frame signal in the time domain, the amplitude at each preset frequency point, and the energy at each preset frequency band to determine, and determining the speech frame signal in which the energy in the time domain, the amplitude at each preset frequency point, and the energy at each preset frequency band all satisfy preset determination conditions as a dual-tone multi-frequency signal comprises:
calculating the energy of the voice frame signal in the time domain;
under the condition that the energy in the time domain is greater than or equal to a preset first threshold value, calculating the amplitude of the voice frame signal on each preset frequency point; the preset frequency points comprise frequency points of a low-frequency group and frequency points of a high-frequency group;
under the condition that the highest amplitude of the frequency point of the low-frequency group of the voice frame signal is greater than or equal to a preset second threshold value, and the highest amplitude of the frequency point of the high-frequency group of the voice frame signal is greater than or equal to a preset third threshold value, calculating the energy of the voice frame signal on each preset frequency band;
and under the condition that the maximum energy of the voice frame signal on the frequency band corresponding to the low-frequency group and the maximum energy of the voice frame signal on the frequency band corresponding to the high-frequency group respectively meet preset energy threshold conditions, determining that the voice frame signal is a multi-tone multi-frequency signal.
3. The method according to claim 2, wherein the determining that the speech frame signal is a multi-tone multi-frequency signal if the maximum energy of the speech frame signal in the frequency band corresponding to the low frequency group and the maximum energy of the speech frame signal in the frequency band corresponding to the high frequency group respectively satisfy a preset energy threshold condition comprises:
obtaining a first average energy according to the energy of the voice frame signal on the frequency band corresponding to the low frequency group, and obtaining a second average energy according to the energy of the voice frame signal on the frequency band corresponding to the high frequency group;
obtaining the maximum energy of the voice frame signal on the frequency band corresponding to the low frequency group and the maximum energy of the voice frame signal on the frequency band corresponding to the high frequency group according to the first energy threshold, the second energy threshold and the detection trigger energy gradient coefficient; the maximum energy on the frequency band corresponding to the low frequency group is greater than or equal to a preset first energy threshold and greater than or equal to the product of the first average energy and the gradient coefficient of the detection trigger energy, and the maximum energy on the frequency band corresponding to the high frequency group is greater than or equal to a preset second energy threshold and greater than or equal to the product of the second average energy and the gradient coefficient of the detection trigger energy;
and under the condition that the maximum energy on the frequency band corresponding to the low frequency group and the maximum energy on the frequency band corresponding to the high frequency group are both greater than or equal to a preset third energy threshold value, determining that the voice frame signal is a multi-tone multi-frequency signal.
4. The method of claim 2, wherein looking up a table to obtain a key value corresponding to each dtmf signal according to the energy of each dtmf signal in each preset frequency band comprises:
and looking up a table to obtain a key value corresponding to the dual-tone multi-frequency signal according to the maximum energy of the voice frame signal on the frequency band corresponding to the low-frequency group and the maximum energy on the frequency band corresponding to the high-frequency group.
5. The method of claim 1, wherein determining the key value corresponding to the voice signal according to the key value corresponding to each dtmf signal corresponding to the voice signal comprises:
counting to obtain the counted number of the key values according to the key values corresponding to the multi-tone multi-frequency signals corresponding to the voice signals;
and taking the key values with the statistical number larger than or equal to the effective width as the key values corresponding to the voice signals.
6. The method according to any one of claims 1 to 5, wherein the splitting the obtained voice signal generated by dialing into voice frame signals comprises:
determining the frame duration according to the sampling rate and the signal duration;
and splitting the acquired voice signal generated by dialing into voice frame signals according to the frame duration.
7. A device for detecting dialing in a dual tone multi-band transmission scenario, the device comprising:
the acquisition module is used for splitting the acquired voice signal generated by dialing into voice frame signals;
the calculation module is used for calculating the energy of each voice frame signal in the time domain, the amplitude on each preset frequency point and the energy on each preset frequency band to judge, and determining the voice frame signals of which the energy in the time domain, the amplitude on each preset frequency point and the energy on each preset frequency band meet preset judgment conditions as the dual-tone multi-frequency signals; the preset frequency points correspond to preset frequency bands one to one;
the retrieval module is used for looking up a table to obtain key values corresponding to the dual-tone multi-frequency signals according to the energy of the dual-tone multi-frequency signals on each preset frequency band;
and the conclusion module is used for determining the key values corresponding to the voice signals according to the key values corresponding to the dual-tone multi-frequency signals corresponding to the voice signals.
8. The apparatus of claim 7, wherein the computing module is configured to:
calculating the energy of the voice frame signal in the time domain;
under the condition that the energy in the time domain is greater than or equal to a preset first threshold value, calculating the amplitude of the voice frame signal on each preset frequency point; the preset frequency points comprise frequency points of a low-frequency group and frequency points of a high-frequency group;
under the condition that the highest amplitude of the frequency point of the low-frequency group of the voice frame signal is greater than or equal to a preset second threshold value, and the highest amplitude of the frequency point of the high-frequency group of the voice frame signal is greater than or equal to a preset third threshold value, calculating the energy of the voice frame signal on each preset frequency band;
and under the condition that the maximum energy of the voice frame signal on the frequency band corresponding to the low-frequency group and the maximum energy of the voice frame signal on the frequency band corresponding to the high-frequency group respectively meet preset energy threshold conditions, determining that the voice frame signal is a multi-tone multi-frequency signal.
9. An electronic device comprising a processor, a communication interface, a memory, and a communication bus; the processor, the communication interface and the memory complete mutual communication through a bus; the memory is used for storing a computer program; the processor is used for executing the program stored in the memory to realize the dialing detection method steps in the dual-tone multi-frequency-band transmission scene according to any one of claims 1 to 6.
10. A computer-readable storage medium, having stored thereon a computer program which, when being executed by a processor, carries out the steps of the method for detecting dialling numbers in a dual-tone multi-band transmission scenario as claimed in any one of claims 1 to 6.
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