CN114979814B - Dialing detection method and device under double-tone multi-band internal transmission scene and electronic equipment - Google Patents
Dialing detection method and device under double-tone multi-band internal transmission scene and electronic equipment Download PDFInfo
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- 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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Abstract
The embodiment of the application provides a dial detection method and device under a transmission scene in a double-tone multi-band and electronic equipment, wherein the method comprises the following steps: splitting the acquired voice signal generated by dialing into voice frame signals; calculating the energy of each voice frame signal on the time domain, the amplitude value of each preset frequency point and the energy of each preset frequency band, judging the voice frame signals, the amplitude values of which all meet preset judging conditions, on the time domain, the amplitude values of which all meet preset judging conditions, and the energy of which all meet preset judging conditions, and determining the voice frame signals as dual-tone multi-frequency signals; according to the energy of each dual-tone multi-frequency signal on each preset frequency band, table look-up is performed to obtain the key value corresponding to each dual-tone s multi-frequency signal, and the key value corresponding to the voice signal is determined. By the embodiment of the application, the background interference noise is rapidly 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.
Description
Technical Field
The present application relates to the field of mobile communications technologies, and in particular, to a method and an apparatus for detecting dialing in a dual-tone multi-band transmission scenario, and an electronic device.
Background
Dual tone multi frequency (Dual Tone Multi Frequency, DTMF) for voice communication in a core network is a technology for realizing fast and reliable transmission of telephone numbers, and has a high transmission speed, so it can be widely used in telephone communication systems.
In the prior art, DTMF in-band transmission may be used for continuous dial detection. However, a large amount of interference noise may exist in the voice call process, and because of poor anti-interference capability of DTMF, when DTMF in-band transmission is used for continuous dialing detection, the error is large, so that the detection result is inaccurate.
Disclosure of Invention
The embodiment of the application aims to provide a dial detection method, a dial detection device and electronic equipment in a dual-tone multi-band internal transmission scene, so as to solve the problem that the detection result is inaccurate due to larger error when DTMF in-band transmission is used for continuous dial detection.
In order to solve the technical problems, the embodiment of the application is realized as follows:
in a first aspect, an embodiment of the present application provides a dial detection method in a dual-tone multi-band transmission scenario, including:
splitting the acquired voice signal generated by dialing into voice frame signals;
calculating the energy of each voice frame signal on the time domain, the amplitude value of each preset frequency point and the energy of each preset frequency band, judging the voice frame signals, the amplitude values of which all meet preset judging conditions, on the time domain, the amplitude values of which all meet preset judging conditions, and the energy of which all meet preset judging conditions, and determining the voice frame signals as dual-tone multi-frequency signals; wherein, the preset frequency points are in one-to-one correspondence with the preset frequency bands;
according to the energy of each dual-tone multi-frequency signal on each preset frequency band, looking up a table to obtain a key value corresponding to each dual-tone multi-frequency 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 application provides a dial detection device in a dual-tone multi-band in-transmission scenario, including:
the acquisition module is used for splitting the acquired voice signal generated by dialing into voice frame signals;
the computing module is used for computing the energy of each voice frame signal on the time domain, the amplitude value of each preset frequency point and the energy of each preset frequency band, judging the voice frame signals, the amplitude values of which all meet the preset judging conditions, on the time domain, the amplitude values of which all meet the preset judging conditions, and the energy of which all meet the preset judging conditions, and determining the voice frame signals as dual-tone multi-frequency signals; wherein, the preset frequency points are in one-to-one correspondence with the preset frequency bands;
the searching module is used for searching a table according to the energy of each dual-tone multi-frequency signal on each preset frequency band to obtain a key value corresponding to each dual-tone multi-frequency signal;
and the conclusion module is used for 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 third aspect, an embodiment of the present application 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 communication with each other through a bus; the memory is used for storing a computer program; the processor is configured to execute the program stored in the memory, to implement the dial detection method step in the dual-tone multi-band transmission scenario according to the first aspect.
In a fourth aspect, an embodiment of the present application provides a computer readable storage medium, where a computer program is stored, where the computer program, when executed by a processor, implements the steps of the dial detection method in the dual tone multi band in-transmission scenario according to the first aspect.
As can be seen from the technical solutions provided by the above embodiments of the present application, the embodiments of the present application calculate the energy of the speech frame signal in the time domain; calculating the amplitude of the voice frame signal on each preset frequency point under the condition that the energy in the time domain is larger than or equal to a preset first threshold value; calculating the energy of the voice frame signal on each preset frequency band under the condition that the highest amplitude of the frequency points of the low-frequency group of the voice frame signal is larger than or equal to a preset second threshold value and the highest amplitude of the frequency points of the high-frequency group of the voice signal is larger than or equal to a preset third threshold value; 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 condition, determining that the voice frame signal is a multi-tone multi-frequency signal, and then carrying out table lookup on the DTMF signal to determine a key value. By the embodiment of the application, the background interference noise is rapidly 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 application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments described in the present application, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of a dial detection method in a transmission scenario in dual-tone multi-band according to an embodiment of the present application;
fig. 2 is a schematic flow chart of another dial detection method in a dual-tone multi-band transmission scenario according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of a dial detection device in a transmission scenario in dual-tone multi-band according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The embodiment of the application provides a dial detection method and device under a transmission scene in a double-tone multi-band and electronic equipment.
In order to make the technical solution of the present application better understood by those skilled in the art, the technical solution of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, shall fall within the scope of the application.
As shown in fig. 1, an embodiment of the present application provides a dial detection method in a transmission scenario in dual-tone multi-band, where an execution body of the method may be a signal detection device. The method specifically comprises the following steps:
step S110, splitting the acquired voice signal generated by dialing into voice frame signals.
The detection device can split the voice signal according to the preset frame duration of the voice frame signal, wherein the frame duration can be determined according to transmission negotiation and can be any duration of 20ms, 50ms and the like.
Further, the specific processing manner of the step S110 may be varied, 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, for example, 8k or 16k may be used. In one implementation of this section, the frame duration= ((sample rate/4) signal duration).
And splitting the acquired voice signals 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 on the time domain, the amplitude value on each preset frequency point and the energy on each preset frequency band, judging the voice frame signals, the energy on the time domain, the amplitude value on each preset frequency point and the energy on each preset frequency band, meeting the preset judging conditions, and determining the voice frame signals as dual-tone multi-frequency signals; wherein, the preset frequency points and the preset frequency bands can be in one-to-one correspondence.
It should be understood that the calculating the energy of the speech frame signal in the time domain may specifically convert the speech frame signal into a pulse code modulation (Pulse Code Modulation, PCM) code stream speech frame signal, and obtain the maximum sampling value of each speech frame signal in the time domain as the energy of the speech frame signal in the time domain.
It should be understood that the calculation of the amplitude of the speech frame signal at each preset frequency point may specifically be to calculate the amplitude of the fast fourier transform (Fast Fourier Transform, FFT) or the discrete fourier transform (Discrete Fourier Transform, DFT) of each speech frame signal at each preset frequency point by using a preset algorithm, such as the Goertazel algorithm, and for simplicity, the amplitude of the DFT at each frequency point is exemplified in the following embodiments. .
In an embodiment, the preset frequency points may be a frequency point of a low frequency group selected in a low frequency band and a frequency point of a high frequency group selected in a high frequency band, respectively. The frequency points of the low-frequency group can be 705Hz, 784Hz, 862Hz and 941Hz which are selected at frequency intervals of 78Hz-79Hz in a low-frequency band of 625Hz to 1025Hz, and the frequency points of the high-frequency group can be 1176Hz, 1333Hz, 1490Hz and 1647Hz which are selected in a high-frequency band of 1176Hz to 1674 Hz. In addition, the preset frequency points may further include frequency points selected outside the low-frequency band and the high-frequency band outside the frequency points of the four low-frequency groups and the frequency points of the four high-frequency groups.
It should be understood that the amplitude of the speech frame signal in each preset frequency band may specifically be calculated by using a preset algorithm, for example, a Goertazel algorithm, and the energy of the FFT or DFT of each speech frame signal in each preset frequency band is illustrated in the following embodiments for simplicity. The preset frequency band is a frequency band corresponding to each predicted frequency point.
The preset judging condition can specifically judge whether the energy size on the time domain, the amplitude size of each preset frequency point and the energy size on each preset frequency band meet the corresponding threshold condition or not through a preset threshold value. If the judging condition is not satisfied, judging that the voice frame signal is not a DTMF signal but is possibly interference noise, and discarding the voice frame signal; and if the judging condition is met, judging that the voice frame signal is a DTMF signal.
Step S130, according to the energy of each DTMF signal in each preset frequency band, look-up table is performed to obtain the key value corresponding to each DTMF signal.
After determining that the voice frame signal is a DTMF signal, according to the calculated energy of the DTMF signal on each preset frequency band, looking up a table to obtain a key value corresponding to the DTMF, namely a 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 DTMF signals determined in each voice frame signal obtained by splitting the voice signals, and determining the key values corresponding to the voice signals from the key values.
As can be seen from the technical solutions provided by the above embodiments of the present application, in the embodiments of the present application, the acquired voice signal generated by dialing is split into the voice frame signal; calculating the energy of each voice frame signal on the time domain, the amplitude value of each preset frequency point and the energy of each preset frequency band, judging the voice frame signals, the amplitude values of which all meet preset judging conditions, on the time domain, the amplitude values of which all meet preset judging conditions, and the energy of which all meet preset judging conditions, and determining the voice frame signals as dual-tone multi-frequency signals; according to the energy of each dual-tone multi-frequency signal on each preset frequency band, looking up a table to obtain a key value corresponding to each dual-tone multi-frequency 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 application, the background interference noise is rapidly 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 above embodiment, further, as shown in fig. 2, the specific processing manner of the above step S120 may be varied, and an alternative processing manner is provided below, and in particular, see the following processing steps S121-124.
Step S121, calculating the energy of the speech frame signal in the time domain.
In one embodiment the detection device may comprise: the system comprises a total energy threshold judging unit, an amplitude calculating unit, an amplitude basic judging unit, a frequency division band energy calculating unit, a frequency division band energy enhancing judging unit and a DTMF double tone frequency retrieving unit.
The total energy threshold judging unit is used for splitting the acquired voice signals 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 value, discarding the voice frame signals with the energy smaller than the first threshold value in the time domain, reserving the voice frame signals with the energy larger than or equal to the first threshold value and transmitting the voice frame signals to the amplitude calculating unit.
Step S122, calculating the amplitude of the voice frame signal on each preset frequency point under the condition that the energy in the time domain is larger than or equal to a preset first threshold value; 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 DFT amplitude values of each received voice frame signal on each preset frequency point by adopting a Goertzel algorithm and transmits the DFT amplitude values 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 bin of the low frequency bin is compared to a second threshold and the DFT amplitude of the speech frame signal at the frequency bin of the high frequency bin is compared to a third threshold. If the DFT amplitude of the voice frame signal on the frequency point of the low frequency group is greater than or equal to the DFT amplitude of the second threshold value, and the DFT amplitude of the voice frame signal on the frequency point of the high frequency group is greater than or equal to the DFT amplitude of the third threshold value, the voice frame signal can be primarily identified as a DTMF signal, and the voice frame signal is transmitted to a frequency division band energy calculating unit; otherwise, discarding the speech frame signal.
Step 123, calculating the energy of the voice frame signal on each preset frequency band when the highest amplitude of the frequency points of the low frequency group of the voice frame signal is greater than or equal to a preset second threshold and the highest amplitude of the frequency points of the high frequency group of the voice signal is greater than or equal to a preset third threshold.
The frequency division energy calculating unit selects a plurality of frequency points, the selected frequency points are divided into a low frequency group, a Gao Pinqun group and a compensation group, and the frequency division energy calculating unit calculates FFT energy at the selected frequency points for the voice frame signal frequency division which is preliminarily identified as the DTMF signal and transmits the FFT energy to the frequency division energy enhancement judging unit.
Step S124, determining that the speech frame signal is a multitone multifrequency 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 meet a preset energy threshold condition.
The frequency-division energy enhancement judging unit judges the frequency-division FFT amplitude of the voice frame signal which is preliminarily identified 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, if yes, it is determined that the energy threshold condition is met, and the voice frame signal is determined to be a DTMF signal that is finally determined, and transmitted to a DTMF duplex frequency retrieving unit; otherwise, discarding the speech frame signal.
In one embodiment, the step S124 includes:
obtaining a first average energy LowMean according to the energy of the voice frame signal in 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 in the frequency band corresponding to the high frequency group; for example, taking the example that the low frequency groups and Gao Pinqun respectively include four frequency points, an average value of energy of each voice frame signal on a frequency band corresponding to the frequency points of the four low frequency groups is calculated as a first average energy LowMean, and an average value of energy on a frequency band corresponding to the frequency points of the four high frequency groups is calculated 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 the first energy threshold LOW, the second energy threshold HIGH and the detection trigger energy gradient coefficient DETECT; 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 HIGH and greater than or equal to a product HighMean of the second average energy and the detection trigger energy gradient coefficient.
And determining the voice frame signal as a DTMF signal when the maximum energy in the frequency band corresponding to the low frequency group and the maximum energy in the frequency band corresponding to the high frequency group are both greater than or equal to a preset third energy threshold, for example, greater than or equal to 0.
The specific calculation process is as follows:
the energy l of the frequency band corresponding to the frequency point of the four low-frequency groups obtained by cyclic traversal calculation i Judgment of l i Whether or not equal to or greater than LOW and equal to or greater than LowMean DETECT, if yes, then assign low=l i ；
The energy h of the frequency band corresponding to the frequency point of the four high-frequency groups obtained by cyclic traversal calculation k Judging h k Whether or not to be equal to or greater than HIGH and equal to or greater than HighMean DETECT, if yes, assign high=h k 。
Judging whether low and high are effective values larger than a third energy threshold value 0, if not, indicating that the voice frame signal is interference noise, and discarding the voice frame signal at the moment; if yes, determining the voice frame signal as 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 of the voice frame signal on the frequency band corresponding to the high frequency group, looking up a table to obtain a key value corresponding to the dual-tone multi-frequency signal.
And the DTMF double-tone frequency searching unit searches and outputs a corresponding dialing key value 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 of the voice frame signal on the frequency band corresponding to the high frequency group.
Further, the step S140 includes:
and counting the number of the detection count 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 quantity being greater than or equal to the effective width as the key values corresponding to the voice signals.
In one embodiment, the statistical number may be a number that continuously obtains a certain key value, that is, if the key value is a detected key value, the corresponding DetectCount is added by 1, and the DetectCount is compared with the effective width. If the statistical quantity DetectCount reaches or exceeds the effective width, determining a dialing key value corresponding to the acquired voice signal. If the key is not the detected key, a new key is recorded and the DetectCount is recalculated.
As can be seen from the technical solutions provided by the above embodiments of the present application, the embodiments of the present application calculate the energy of the speech frame signal in the time domain; calculating the amplitude of the voice frame signal on each preset frequency point under the condition that the energy in the time domain is larger than or equal to a preset first threshold value; calculating the energy of the voice frame signal on each preset frequency band under the condition that the highest amplitude of the frequency points of the low-frequency group of the voice frame signal is larger than or equal to a preset second threshold value and the highest amplitude of the frequency points of the high-frequency group of the voice signal is larger than or equal to a preset third threshold value; 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 condition, determining that the voice frame signal is a multi-tone multi-frequency signal, and then carrying out table lookup on the DTMF signal to determine a key value. By the embodiment of the application, the background interference noise is rapidly 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.
According to the method for detecting dial in a dual-tone multi-band in-transmission scene provided by the embodiment of the application, based on the same technical concept, the embodiment of the application further provides a device for detecting dial in a dual-tone multi-band in-transmission scene, and fig. 3 is a schematic diagram of module composition of the device for detecting dial in a dual-tone multi-band in-transmission scene provided by the embodiment of the application, where the device for detecting dial in a dual-tone multi-band in-transmission scene is used for executing the method for detecting dial in a dual-tone multi-band in-transmission scene described in fig. 1 to 2, as shown in fig. 3, the device for detecting dial in a dual-tone multi-band in-transmission scene 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 a voice frame signal; the calculation module 302 is configured to calculate energy of each voice frame signal in a time domain, an amplitude value of each preset frequency point, and energy of each preset frequency band, determine that the energy in the time domain, the amplitude value of each preset frequency point, and the energy of each preset frequency band meet preset determination conditions, and determine that the voice frame signal is a dual-tone multi-frequency signal; wherein, the preset frequency points are in one-to-one correspondence with the preset frequency bands; the retrieving module 303 is configured to look up a table according to the energy of each dtmf signal in each preset frequency band to obtain a key value corresponding to each dtmf signal; 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 a frame duration according to the sampling rate and the signal duration;
and splitting the acquired voice signals generated by dialing into voice frame signals according to the frame duration.
As can be seen from the technical solutions provided by the above embodiments of the present application, in the embodiments of the present application, the acquired voice signal generated by dialing is split into the voice frame signal; calculating the energy of each voice frame signal on the time domain, the amplitude value of each preset frequency point and the energy of each preset frequency band, judging the voice frame signals, the amplitude values of which all meet preset judging conditions, on the time domain, the amplitude values of which all meet preset judging conditions, and the energy of which all meet preset judging conditions, and determining the voice frame signals as dual-tone multi-frequency signals; according to the energy of each dual-tone multi-frequency signal on each preset frequency band, looking up a table to obtain a key value corresponding to each dual-tone multi-frequency 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 application, the background interference noise is rapidly 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 above embodiment, further, the computing module is configured to:
calculating the energy of the voice frame signal in the time domain;
calculating the amplitude of the voice frame signal on each preset frequency point under the condition that the energy in the time domain is larger than or equal to a preset first threshold value; the preset frequency points comprise frequency points of a low frequency group and frequency points of a high frequency group;
calculating the energy of the voice frame signal on each preset frequency band under the condition that the highest amplitude of the frequency points of the low-frequency group of the voice frame signal is larger than or equal to a preset second threshold value and the highest amplitude of the frequency points of the high-frequency group of the voice signal is larger than or equal to a preset third threshold value;
and determining that the voice frame signal is a multi-tone multi-frequency signal 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 condition.
Further, the computing module is configured to:
obtaining first average energy according to the energy of the voice frame signal in the frequency band corresponding to the low frequency group, and obtaining second average energy according to the energy of the voice frame signal in 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 triggering energy gradient coefficient; the maximum energy on the frequency band corresponding to the low-frequency group is larger than or equal to a preset first energy threshold value and larger than or equal to the product of the first average energy and the detection trigger energy gradient coefficient, and the maximum energy on the frequency band corresponding to the high-frequency group is larger than or equal to a preset second energy threshold value and larger than or equal to the product of the second average energy and the detection trigger energy gradient coefficient;
and determining that the voice frame signal is a multi-tone multi-frequency 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 larger than or equal to a preset third energy threshold value.
Further, the search module is configured to look up a table according to 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 to obtain a key value corresponding to the dual-tone multi-frequency signal.
Further, the conclusion module is configured to:
according to the key values corresponding to the multi-tone multi-frequency signals corresponding to the voice signals, counting to obtain the counted number of the key values;
and taking the key values with the statistical quantity being greater than or equal to the effective width as the key values corresponding to the voice signals.
As can be seen from the technical solutions provided by the above embodiments of the present application, the embodiments of the present application calculate the energy of the speech frame signal in the time domain; calculating the amplitude of the voice frame signal on each preset frequency point under the condition that the energy in the time domain is larger than or equal to a preset first threshold value; calculating the energy of the voice frame signal on each preset frequency band under the condition that the highest amplitude of the frequency points of the low-frequency group of the voice frame signal is larger than or equal to a preset second threshold value and the highest amplitude of the frequency points of the high-frequency group of the voice signal is larger than or equal to a preset third threshold value; 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 condition, determining that the voice frame signal is a multi-tone multi-frequency signal, and then carrying out table lookup on the DTMF signal to determine a key value. By the embodiment of the application, the background interference noise is rapidly 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.
The device for detecting the dialing in the dual-tone multi-band internal transmission scene provided by the embodiment of the application can realize each process in the embodiment corresponding to the method for detecting the dialing in the dual-tone multi-band internal transmission scene, and is not repeated here for avoiding repetition.
It should be noted that, the device for detecting dialing in a dual-tone multi-band internal transmission scene provided by the embodiment of the present application and the method for detecting dialing in a dual-tone multi-band internal transmission scene provided by the embodiment of the present application are based on the same inventive concept, so that the implementation of the embodiment can refer to the implementation of the method for detecting dialing in a dual-tone multi-band internal transmission scene, and the repetition is omitted.
According to the method for detecting dial in a dual-tone multi-band transmission scenario provided by the above embodiment, based on the same technical concept, the embodiment of the present application further provides an electronic device, where the electronic device is configured to execute the method for detecting dial in a dual-tone multi-band transmission scenario, and fig. 4 is a schematic structural diagram of an electronic device for implementing the embodiments of the present application, as shown in fig. 4. The electronic device may vary considerably 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 the memory 402 may be transient storage or persistent storage. The application programs stored in memory 402 may include one or more modules (not shown), each of which may include a series of computer-executable instructions for use in an electronic device. Still further, the processor 401 may be arranged to communicate with the memory 402 and execute a series of computer executable instructions in the memory 402 on an 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, and one or more keyboards 406.
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 communication with each other 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 following method steps:
splitting the acquired voice signal generated by dialing into voice frame signals;
calculating the energy of each voice frame signal on the time domain, the amplitude value of each preset frequency point and the energy of each preset frequency band, judging the voice frame signals, the amplitude values of which all meet preset judging conditions, on the time domain, the amplitude values of which all meet preset judging conditions, and the energy of which all meet preset judging conditions, and determining the voice frame signals as dual-tone multi-frequency signals; wherein, the preset frequency points are in one-to-one correspondence with the preset frequency bands;
according to the energy of each dual-tone multi-frequency signal on each preset frequency band, looking up a table to obtain a key value corresponding to each dual-tone multi-frequency 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.
The embodiment of the application also provides a computer readable storage medium, wherein the storage medium stores a computer program, and the computer program realizes the following method steps when being executed by a processor:
splitting the acquired voice signal generated by dialing into voice frame signals;
calculating the energy of each voice frame signal on the time domain, the amplitude value of each preset frequency point and the energy of each preset frequency band, judging the voice frame signals, the amplitude values of which all meet preset judging conditions, on the time domain, the amplitude values of which all meet preset judging conditions, and the energy of which all meet preset judging conditions, and determining the voice frame signals as dual-tone multi-frequency signals; wherein, the preset frequency points are in one-to-one correspondence with the preset frequency bands;
according to the energy of each dual-tone multi-frequency signal on each preset frequency band, looking up a table to obtain a key value corresponding to each dual-tone multi-frequency 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.
It will be apparent to those skilled in the art that 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 present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations 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 one typical configuration, the electronic device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.
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 storage media for a computer 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, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.
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 one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.
It will be apparent to those skilled in the art that 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 foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and variations of the present application will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. which come within the spirit and principles of the application are to be included in the scope of the claims of the present application.
Claims (7)
1. A method for detecting dialing in a dual-tone multi-band internal transmission scene, the method comprising:
dividing the acquired voice signal generated by dialing into voice frame signals according to frame duration determined according to a sampling rate and signal duration;
calculating the energy of each voice frame signal on the time domain, the amplitude value of each preset frequency point and the energy of each preset frequency band, judging the voice frame signals, the amplitude values of which all meet preset judging conditions, on the time domain, the amplitude values of which all meet preset judging conditions, and the energy of which all meet preset judging conditions, and determining the voice frame signals as dual-tone multi-frequency signals;
according to the energy of each dual-tone multi-frequency signal on each preset frequency band, looking up a table to obtain a key value corresponding to each dual-tone multi-frequency signal;
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;
the calculating the energy of each voice frame signal in the time domain, the amplitude of each preset frequency point and the energy of each preset frequency band to judge, and determining the voice frame signal that the energy in the time domain, the amplitude of each preset frequency point and the energy of each preset frequency band meet the preset judging conditions as a dual-tone multi-frequency signal comprises:
calculating the energy of the voice frame signal in the time domain;
calculating the amplitude of the voice frame signal on each preset frequency point under the condition that the energy in the time domain is larger than or equal to a preset first threshold value; the preset frequency points comprise frequency points of a low frequency group and frequency points of a high frequency group;
calculating the energy of the voice frame signal on each preset frequency band under the condition that the highest amplitude of the frequency points of the low-frequency group of the voice frame signal is larger than or equal to a preset second threshold value and the highest amplitude of the frequency points of the high-frequency group of the voice signal is larger than or equal to a preset third threshold value;
determining that the voice frame signal is a multi-tone multi-frequency signal 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 condition;
the determining that the voice frame signal is a multi-tone multi-frequency signal when the maximum energy of the voice frame signal in the frequency band corresponding to the low frequency group and the maximum energy of the voice frame signal in the frequency band corresponding to the high frequency group respectively meet the preset energy threshold condition includes:
obtaining first average energy according to the energy of the voice frame signal in the frequency band corresponding to the low frequency group, and obtaining second average energy according to the energy of the voice frame signal in 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 triggering energy gradient coefficient; the maximum energy on the frequency band corresponding to the low-frequency group is larger than or equal to a preset first energy threshold value and larger than or equal to the product of the first average energy and the detection trigger energy gradient coefficient, and the maximum energy on the frequency band corresponding to the high-frequency group is larger than or equal to a preset second energy threshold value and larger than or equal to the product of the second average energy and the detection trigger energy gradient coefficient;
and determining that the voice frame signal is a multi-tone multi-frequency 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 larger than or equal to a preset third energy threshold value.
2. The method of claim 1, wherein the looking up the table to obtain the key value corresponding to each dtmf signal according to the energy of each dtmf signal in each preset frequency band, includes:
and according to 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, looking up a table to obtain a key value corresponding to the dual-tone multi-frequency signal.
3. The method of claim 1, wherein the 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 comprises:
according to the key values corresponding to the multi-tone multi-frequency signals corresponding to the voice signals, counting to obtain the counted number of the key values;
and taking the key values with the statistical quantity being greater than or equal to the effective width as the key values corresponding to the voice signals.
4. A method according to any one of claims 1-3, wherein splitting the acquired dial-generated speech signal into speech frame signals comprises:
determining a frame duration according to the sampling rate and the signal duration;
and splitting the acquired voice signals generated by dialing into voice frame signals according to the frame duration.
5. A dial detection device in a dual tone multi band internal transmission scenario, the device comprising:
the acquisition module is used for splitting the acquired voice signal generated by dialing into voice frame signals according to the frame duration determined according to the sampling rate and the signal duration;
the computing module is used for computing the energy of each voice frame signal on the time domain, the amplitude value of each preset frequency point and the energy of each preset frequency band, judging the voice frame signals, the amplitude values of which all meet the preset judging conditions, on the time domain, the amplitude values of which all meet the preset judging conditions, and the energy of which all meet the preset judging conditions, and determining the voice frame signals as dual-tone multi-frequency signals; wherein, the preset frequency points are in one-to-one correspondence with the preset frequency bands;
the searching module is used for searching a table according to the energy of each dual-tone multi-frequency signal on each preset frequency band to obtain a key value corresponding to each dual-tone multi-frequency signal;
the conclusion module is used for 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;
the computing module is used for:
calculating the energy of the voice frame signal in the time domain;
calculating the amplitude of the voice frame signal on each preset frequency point under the condition that the energy in the time domain is larger than or equal to a preset first threshold value; the preset frequency points comprise frequency points of a low frequency group and frequency points of a high frequency group;
calculating the energy of the voice frame signal on each preset frequency band under the condition that the highest amplitude of the frequency points of the low-frequency group of the voice frame signal is larger than or equal to a preset second threshold value and the highest amplitude of the frequency points of the high-frequency group of the voice signal is larger than or equal to a preset third threshold value;
determining that the voice frame signal is a multi-tone multi-frequency signal 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 condition;
obtaining first average energy according to the energy of the voice frame signal in the frequency band corresponding to the low frequency group, and obtaining second average energy according to the energy of the voice frame signal in 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 triggering energy gradient coefficient; the maximum energy on the frequency band corresponding to the low-frequency group is larger than or equal to a preset first energy threshold value and larger than or equal to the product of the first average energy and the detection trigger energy gradient coefficient, and the maximum energy on the frequency band corresponding to the high-frequency group is larger than or equal to a preset second energy threshold value and larger than or equal to the product of the second average energy and the detection trigger energy gradient coefficient;
and determining that the voice frame signal is a multi-tone multi-frequency 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 larger than or equal to a preset third energy threshold value.
6. An electronic device comprising a processor, a communication interface, a memory, and a communication bus; the processor, the communication interface and the memory complete communication with each other through a bus; the memory is used for storing a computer program; the processor is configured to execute a program stored in the memory, to implement the steps of the dial detection method in the dual-tone multi-band transmission scenario as set forth in any one of claims 1 to 4.
7. A computer readable storage medium, characterized in that the computer readable storage medium has stored thereon a computer program which, when executed by a processor, implements the dial detection method steps in a dual tone multi band intra transmission scenario according to any of the claims 1-4.
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6115464A (en) * | 1997-10-29 | 2000-09-05 | Siemens Information And Communication Networks, Inc. | Method and system for distinguishing valid DTMF signals from spurious DTMF noise |
| US6370244B1 (en) * | 1998-04-03 | 2002-04-09 | Board Of Regents Of The University Of Texas System | Efficient digital ITU-compliant zero-buffering DTMF detection using the non-uniform discrete fourier transform |
| CN1791150A (en) * | 2004-12-15 | 2006-06-21 | 华为技术有限公司 | Signal detecting method and apparatus |
| WO2009028937A1 (en) * | 2007-08-24 | 2009-03-05 | Sound Intelligence B.V. | Method and apparatus for detection of specific input signal contributions |
| CN101437247A (en) * | 2008-12-18 | 2009-05-20 | 中国移动通信集团浙江有限公司 | Test method for evaluating voice quality |
| CN102387235A (en) * | 2011-10-14 | 2012-03-21 | 华平信息技术股份有限公司 | Method for using single chip computer to generate DTMF (Dual Tone Multiple Frequency) press key prompt tone |
| US8755514B1 (en) * | 2013-09-16 | 2014-06-17 | The United States Of America As Represented By The Secretary Of The Army | Dual-tone multi-frequency signal classification |
| CN109818685A (en) * | 2019-04-19 | 2019-05-28 | 翱捷科技(上海)有限公司 | A kind of dtmf signal detection device and method |
-
2021
- 2021-09-07 CN CN202111043440.1A patent/CN114979814B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6115464A (en) * | 1997-10-29 | 2000-09-05 | Siemens Information And Communication Networks, Inc. | Method and system for distinguishing valid DTMF signals from spurious DTMF noise |
| US6370244B1 (en) * | 1998-04-03 | 2002-04-09 | Board Of Regents Of The University Of Texas System | Efficient digital ITU-compliant zero-buffering DTMF detection using the non-uniform discrete fourier transform |
| CN1791150A (en) * | 2004-12-15 | 2006-06-21 | 华为技术有限公司 | Signal detecting method and apparatus |
| WO2009028937A1 (en) * | 2007-08-24 | 2009-03-05 | Sound Intelligence B.V. | Method and apparatus for detection of specific input signal contributions |
| CN101437247A (en) * | 2008-12-18 | 2009-05-20 | 中国移动通信集团浙江有限公司 | Test method for evaluating voice quality |
| CN102387235A (en) * | 2011-10-14 | 2012-03-21 | 华平信息技术股份有限公司 | Method for using single chip computer to generate DTMF (Dual Tone Multiple Frequency) press key prompt tone |
| US8755514B1 (en) * | 2013-09-16 | 2014-06-17 | The United States Of America As Represented By The Secretary Of The Army | Dual-tone multi-frequency signal classification |
| CN109818685A (en) * | 2019-04-19 | 2019-05-28 | 翱捷科技(上海)有限公司 | A kind of dtmf signal detection device and method |
Non-Patent Citations (1)
| Title |
|---|
| 吴凯等."基于FPGA的水下无线激光语音通信系统".《电子制作》.2014,(第07期),全文. * |
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