CN105635453B - Automatic call volume adjusting method and system, vehicle-mounted equipment and automobile - Google Patents
Automatic call volume adjusting method and system, vehicle-mounted equipment and automobile Download PDFInfo
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- CN105635453B CN105635453B CN201511005677.5A CN201511005677A CN105635453B CN 105635453 B CN105635453 B CN 105635453B CN 201511005677 A CN201511005677 A CN 201511005677A CN 105635453 B CN105635453 B CN 105635453B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/60—Substation equipment, e.g. for use by subscribers including speech amplifiers
- H04M1/6008—Substation equipment, e.g. for use by subscribers including speech amplifiers in the transmitter circuit
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72448—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions
- H04M1/72454—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions according to context-related or environment-related conditions
Abstract
The invention provides a method and a system for automatically adjusting call volume, vehicle-mounted equipment and an automobile, which are applied to the automobile, wherein the method for automatically adjusting the call volume comprises the following steps: when the automobile enters an emergency call mode, acquiring a sound data signal in the emergency call mode; pre-processing the sound data signal to obtain background noise data samples; carrying out real-time statistical analysis on the background noise data sample, and calculating the background noise intensity in an emergency call mode; and calculating the voice intensity matched with the background noise intensity in real time according to the background noise intensity and a pre-stored calculation mode, and adjusting the current call volume in real time according to the calculated voice intensity. The automatic call volume adjusting method can effectively inhibit background noise, improve the definition of personnel in the call center, ensure normal telephone communication between the user and the call center and strive for the shortest rescue time for the user.
Description
Technical Field
The invention belongs to the technical field of automotive electronics, relates to an adjusting method and an adjusting system, and particularly relates to an automatic adjusting method and an automatic adjusting system for call volume, vehicle-mounted equipment and an automobile.
Background
The T-Box is a very important component in the current interconnected automobile on-board system, and the main function of the T-Box is to realize the interconnection of the automobile and the TSP. One of the services provided by the T-Box is an emergency call, through which the vehicle occupants communicate telephonically to a call center using a Speaker and microphone in the vehicle to make emergency requests.
The engineer will adjust the volume and gain settings of Speaker in the T-Box drive car in the office, and after the parameters are cured, provide a T-Box emergency rescue call for the end customer. When an actual end user uses an emergency rescue call, background noise is high, so that the user cannot hear the voice of call center service personnel transmitted by Speaker, the normal telephone communication between the user and the call center is seriously influenced sometimes, and precious emergency rescue time is delayed.
Therefore, how to provide a method and a system for automatically adjusting call volume, a vehicle-mounted device and an automobile to solve the defects that when a T-Box initiates an emergency rescue call, various background noises exist so as to seriously affect normal telephone communication between an automobile user and a call center and delay precious rescue time, and the like, is a technical problem to be solved urgently by practitioners in the field.
Disclosure of Invention
In view of the defects of the prior art, the invention aims to provide a method and a system for automatically adjusting call volume, a vehicle-mounted device and a vehicle, which are used for solving the problem that when a T-Box initiates an emergency rescue call, various background noises seriously affect normal telephone communication between a vehicle user and a call center to delay precious rescue time in the prior art.
In order to achieve the above and other related objects, an aspect of the present invention provides an automatic call volume adjusting method for an automobile, including: when the automobile enters an emergency call mode, acquiring a sound data signal in the emergency call mode; pre-processing the sound data signal to obtain background noise data samples; carrying out real-time statistical analysis on the background noise data sample, and calculating the background noise intensity in an emergency call mode; and calculating the voice intensity matched with the background noise intensity in real time according to the background noise intensity and a pre-stored calculation mode, and adjusting the current call volume in real time according to the calculated voice intensity.
In an embodiment of the invention, the step of acquiring the voice data signal in the emergency call mode specifically refers to acquiring the voice data signal in the emergency call mode by using a digital quantization method.
In an embodiment of the present invention, the step of preprocessing the audio data signal specifically includes: carrying out fast Fourier transform on the voice data signals acquired in a quantification manner; background noise data samples are selected from the sound data signal after the fast fourier transform according to a predetermined effective frequency range.
In an embodiment of the present invention, calculating the background noise strength in the emergency call mode refers to performing a real-time weighted average calculation on the selected background noise sample, and taking a calculated weighted result as the background noise strength in the emergency call mode.
In an embodiment of the present invention, the pre-storing calculation method in the step of calculating the speech intensity matched with the background noise intensity in real time according to the background noise intensity and the pre-storing calculation method is: the voice intensity matching the background noise intensity is the default voice intensity at zero noise + background noise intensity x a fixed value.
In another aspect, the present invention provides an automatic call volume adjusting system for an automobile, the automatic call volume adjusting system comprising: the acquisition module is used for acquiring a sound data signal in the emergency call mode when the automobile enters the emergency call mode; the preprocessing module is connected with the acquisition module and used for preprocessing the sound data signal to acquire a background noise data sample; the first calculation module is connected with the preprocessing module and used for carrying out real-time statistical analysis on the background noise data sample and calculating the background noise intensity in an emergency call mode; and the second calculation module is connected with the preprocessing module and the first calculation module and used for calculating the voice intensity matched with the background noise intensity in real time according to the background noise intensity and a pre-stored calculation mode and adjusting the current call volume in real time according to the calculated voice intensity.
In an embodiment of the invention, the acquisition module is specifically configured to acquire the voice data signal in the emergency call mode in a digital quantization manner.
In an embodiment of the present invention, the preprocessing module includes: the transformation unit is used for carrying out fast Fourier transformation on the voice data signals acquired in a quantification manner; and the selecting unit is connected with the transforming unit and used for selecting a background noise data sample from the sound data signal after the fast Fourier transform according to a preset effective frequency range.
In an embodiment of the present invention, the pre-storing calculation manner in the second calculation module is: the voice intensity matching the background noise intensity is the default voice intensity at zero noise + background noise intensity x a fixed value.
Still another aspect of the present invention provides an in-vehicle apparatus including: the automatic call volume adjusting system.
A final aspect of the present invention provides an automobile comprising: the vehicle-mounted equipment.
As described above, the method and system for automatically adjusting call volume, the vehicle-mounted device and the vehicle of the present invention have the following advantages:
the method, the system, the vehicle-mounted equipment and the automobile for automatically adjusting the call volume can effectively inhibit background noise, improve the definition of personnel in a call center, ensure normal telephone communication between a user and the call center and strive for the shortest rescue time for the user.
Drawings
Fig. 1 is a flowchart illustrating an automatic call volume adjusting method according to an embodiment of the present invention.
Fig. 2 is a flowchart illustrating the step S2 in the automatic call volume adjustment method according to the present invention.
Fig. 3 is a schematic structural diagram of an automatic call volume adjusting system according to an embodiment of the invention.
FIG. 4 is a schematic structural diagram of an in-vehicle device according to an embodiment of the invention.
Fig. 5 is a schematic structural diagram of an automobile according to an embodiment of the invention.
Description of the element reference numerals
10 conversation volume automatic regulating system
101 acquisition module
102 preprocessing module
103 first computing module
104 second computing Module
1021 transformation unit
1022 selecting unit
2 vehicle-mounted device
3 automobile
S1-S6
S21-S22
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.
It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present invention, and the components related to the present invention are only shown in the drawings rather than drawn according to the number, shape and size of the components in actual implementation, and the type, quantity and proportion of the components in actual implementation may be changed freely, and the layout of the components may be more complicated.
Example one
The embodiment provides an automatic call volume adjusting method which is applied to an automobile and comprises the following steps:
when the automobile enters an emergency call mode, acquiring a sound data signal in the emergency call mode;
pre-processing the sound data signal to obtain background noise data samples;
carrying out real-time statistical analysis on the background noise data sample, and calculating the background noise intensity in an emergency call mode;
and calculating the voice intensity matched with the background noise intensity in real time according to the background noise intensity and a pre-stored calculation mode, and adjusting the current call volume in real time according to the calculated voice intensity.
The automatic call volume adjusting method according to the present embodiment will be described in detail with reference to the drawings. Please refer to fig. 1, which is a flowchart illustrating an automatic call volume adjusting method according to an embodiment of the present invention. As shown in fig. 1, the method for automatically adjusting the call volume specifically includes the following steps:
and S1, when the automobile enters the emergency call mode, collecting the sound data signals in the emergency call mode by using a T-Box microphone. Specifically, a digital quantization mode is adopted to collect voice data signals in an emergency call mode. In this embodiment, whether to enter the emergency call mode is determined by touching the SOS button on the T-Box by the user.
S2, pre-processing the sound data signal to obtain background noise data samples. Please refer to fig. 2, which is a flowchart illustrating the step S2. As shown in fig. 2, the step S2 specifically includes the following steps:
s21, performing fast fourier transform on the quantized collected sound data signal. The process of pulse code modulation is to convert an analog signal which is continuous in time and continuous in value into a digital signal which is discrete in time and then transmitted in a channel. Pulse code modulation is the process of sampling the analog signal, quantizing the amplitude of the sample and coding.
S22, selecting background noise data samples from the sound data signal after the fast fourier transform according to a predetermined effective frequency range. In this embodiment, performing a Fast Fourier Transform (FFT) on the digitally sampled PCM values effects a transformation of the sound data signal from the time domain to the frequency domain, wherein the sampled samples of the transformed sound data signal from the time domain to the frequency domain having frequencies outside the range of (20Hz, 20000Hz) are invalid samples, because the typical sound frequencies audible to the human ear are between (20Hz, 20000 Hz). The sample samples whose frequencies fall within the range of (sound frequency threshold, 4000Hz) are defined as natural human sound samples, while the sample samples whose frequencies fall within the range of (20, sound frequency threshold), and (4000Hz, 20000Hz) are defined as background noise data samples. Therefore, in the present embodiment, (20, the sound frequency threshold) and (4000Hz, 20000Hz) are set to a predetermined effective frequency range, and if the frequency of the sample falls within the predetermined effective frequency range, the sample is selected as the background noise data sample. Wherein the sound frequency threshold is greater than 20 Hz.
And S3, carrying out real-time statistical analysis on the background noise data sample, and calculating the background noise intensity in the emergency call mode. In this embodiment, calculating the background noise strength in the emergency call mode refers to performing real-time weighted average calculation on the selected background noise sample, and taking the calculated weighted result as the background noise strength in the emergency call mode. In the present embodiment, the background noise intensity is represented by N.
For example, every 5 sampling points in the background noise data sample are selected to calculate a background noise strength,
the background noise strength at the first time is (f1+ f2+ f3+ f4+ f 5)/5;
the background noise strength at the second time is (f2+ f3+ f4+ f5+ f 6)/5;
…
the background noise intensity at the nth time point is (fn + fn +1+ fn +2+ fn +3+ fn + 4)/5.
And S4, calculating the voice intensity matched with the background noise intensity in real time according to the background noise intensity and a pre-stored calculation mode, and adjusting the current call volume in real time according to the calculated voice intensity. Wherein, the pre-storing calculation mode is as follows:
the voice intensity matching the background noise intensity is the default voice intensity at zero noise + background noise intensity x a fixed value. In this embodiment, V is used to represent the speech strength matching the background noise strength, V0 represents the default speech strength at zero noise, P represents a fixed value, and a constant parameter representing N as V is modified. P is actually related to the actually used sound processing chip, and can be calculated in experiments: and (V-V0)/N, setting certain N-valued noise, manually adjusting the V value of proper call volume, and then deducing P.
And adjusting the current call volume in real time according to the calculated voice intensity N. And then outputs the voice of the call center person to Speaker at the volume to ensure that the user hears the voice of the center person clearly loud.
S5, determining whether the emergency call mode is finished, if yes, executing step S6, namely automatically exiting from the emergency call mode. If not, the process returns to step S1 to continue to use the T-Box microphone to collect the voice data signal in the emergency call mode.
The automatic call volume adjusting method can effectively suppress background noise, improves the clarity of personnel in the call center, ensures normal telephone communication between the user and the call center, and strives for the shortest rescue time for the user.
Example two
This embodiment provides a conversation volume automatic regulating system, is applied to the car, conversation volume automatic regulating system includes:
the acquisition module is used for acquiring a sound data signal in the emergency call mode when the automobile enters the emergency call mode;
the preprocessing module is connected with the acquisition module and used for preprocessing the sound data signal to acquire a background noise data sample;
the first calculation module is connected with the preprocessing module and used for carrying out real-time statistical analysis on the background noise data sample and calculating the background noise intensity in an emergency call mode;
and the second calculation module is connected with the preprocessing module and the first calculation module and used for calculating the voice intensity matched with the background noise intensity in real time according to the background noise intensity and a pre-stored calculation mode and adjusting the current call volume in real time according to the calculated voice intensity.
The automatic call volume adjusting system according to the present embodiment will be described in detail with reference to the drawings. Please refer to fig. 3, which is a schematic structural diagram of an embodiment of an automatic call volume adjusting system. As shown in fig. 3, the automatic call volume adjustment system 10 includes: the system comprises an acquisition module 101, a preprocessing module 102, a first calculation module 103 and a second calculation module 104.
The acquisition module 101 is configured to acquire a sound data signal in an emergency call mode when the automobile enters the emergency call mode. Specifically, a digital quantization mode is adopted to collect voice data signals in an emergency call mode. In this embodiment, whether to enter the emergency call mode is determined by touching the SOS button on the T-Box by the user. The acquisition module 101 is a microphone of a T-Box.
A pre-processing module 102 connected to the acquisition module 101 is configured to pre-process the sound data signal to obtain a background noise data sample. Referring to fig. 3, the preprocessing module 102 specifically includes: a transform unit 1021 and a selection unit 1022.
The transform unit 1021 is configured to perform fast fourier transform on the quantized collected sound data signal. The process of pulse code modulation is to convert an analog signal which is continuous in time and continuous in value into a digital signal which is discrete in time and then transmitted in a channel. Pulse code modulation is the process of sampling the analog signal, quantizing the amplitude of the sample and coding.
A selecting unit 1022 connected to the transforming unit 1021 is configured to select background noise data samples from the sound data signal after the fft according to a predetermined effective frequency range. In this embodiment, performing a Fast Fourier Transform (FFT) on the digitally sampled PCM values effects a transformation of the sound data signal from the time domain to the frequency domain, wherein the sampled samples of the transformed sound data signal from the time domain to the frequency domain having frequencies outside the range of (20Hz, 20000Hz) are invalid samples, because the typical sound frequencies audible to the human ear are between (20Hz, 20000 Hz). The sample samples whose frequencies fall within the range of (sound frequency threshold, 4000Hz) are defined as natural human sound samples, while the sample samples whose frequencies fall within the range of (20, sound frequency threshold), and (4000Hz, 20000Hz) are defined as background noise data samples. Therefore, in the present embodiment, the selecting unit 1022 sets (20, the sound frequency threshold) and (4000Hz, 20000Hz) to a predetermined effective frequency range, and selects a sample as the background noise data sample if the frequency of the sample falls within the predetermined effective frequency range. Wherein the sound frequency threshold is greater than 20 Hz.
The first calculating module 103 connected to the preprocessing module 102 is configured to perform real-time statistical analysis on the background noise data sample, and calculate the background noise strength in the emergency call mode. In this embodiment, the calculating the background noise strength in the emergency call mode by the first calculating module 103 means performing real-time weighted average calculation on the selected background noise sample, and taking a calculated weighted result as the background noise strength in the emergency call mode. In the present embodiment, the background noise intensity is represented by N.
For example, every 5 sampling points in the background noise data sample are selected to calculate a background noise strength,
the background noise strength at the first time is (f1+ f2+ f3+ f4+ f 5)/5;
the background noise strength at the second time is (f2+ f3+ f4+ f5+ f 6)/5;
…
the background noise intensity at the nth time point is (fn + fn +1+ fn +2+ fn +3+ fn + 4)/5.
The second calculating module 104 connected to the preprocessing module 102 and the first calculating module 103 is configured to calculate a voice intensity matched with the background noise intensity in real time according to the background noise intensity and a pre-stored calculating manner, and adjust the current call volume in real time according to the calculated voice intensity. The pre-storing of the calculation mode in the second calculation module 104 means:
the voice intensity matching the background noise intensity is the default voice intensity at zero noise + background noise intensity x a fixed value. In this embodiment, V is used to represent the speech strength matching the background noise strength, V0 represents the default speech strength at zero noise, P represents a fixed value, and a constant parameter representing N as V is modified. P is actually related to the actually used sound processing chip, and can be calculated in experiments: and (V-V0)/N, setting certain N-valued noise, manually adjusting the V value of proper call volume, and then deducing P.
And adjusting the current call volume in real time according to the calculated voice intensity N. And then outputs the voice of the call center person to Speaker at the volume to ensure that the user hears the voice of the center person clearly loud.
The determining module 105 connected to the second calculating module 104 is configured to determine whether the emergency call mode is ended, and if so, invoke the terminating module 106 to automatically exit from the emergency call mode. If not, the acquisition module 101 is continuously called to continuously use the microphone of the T-Box to acquire the sound data signals in the emergency call mode.
EXAMPLE III
Fig. 4 is a schematic structural diagram of an in-vehicle device 2 according to an embodiment of the present invention. As shown in fig. 4, the in-vehicle apparatus 2 includes the automatic call volume adjustment system 10 detailed in the second embodiment. In this embodiment, the vehicle-mounted device 2 is specifically a T-Box.
Fig. 5 is a schematic diagram of a schematic structure of an automobile in an embodiment. As shown in fig. 5, the automobile 3 includes the in-vehicle device 2 equipped with the automatic call volume adjustment system 10.
In conclusion, the method and the system for automatically adjusting the call volume, the vehicle-mounted equipment and the automobile can effectively inhibit background noise, improve the definition of personnel in the call center, ensure normal telephone communication between the user and the call center and strive for the shortest rescue time for the user. Therefore, the invention effectively overcomes various defects in the prior art and has high industrial utilization value.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
Claims (7)
1. A method for automatically adjusting call volume is applied to a T-Box of an automobile, and is characterized by comprising the following steps:
the method comprises the steps that a user is felt to touch an SOS key on a T-Box to judge whether to enter an emergency call mode;
when the automobile enters an emergency call mode, acquiring a sound data signal in the emergency call mode;
pre-processing the sound data signal to obtain background noise data samples; the preprocessing comprises performing a fast fourier transform on the quantized acquired sound data signal; selecting a data signal falling into a preset effective frequency range from the sound data signal after the fast Fourier transform as a background noise data sample;
carrying out real-time statistical analysis on the background noise data sample, and calculating the background noise intensity in an emergency call mode; calculating the background noise intensity in the emergency call mode refers to performing real-time weighted average calculation on the selected background noise sample, and taking the calculated weighted result as the background noise intensity in the emergency call mode;
calculating the voice intensity matched with the background noise intensity in real time according to the background noise intensity and a pre-stored calculation mode, and adjusting the current call volume in real time according to the calculated voice intensity; the pre-storing calculation mode is as follows: the voice intensity matching the background noise intensity is the default voice intensity at zero noise + background noise intensity x a fixed value.
2. The automatic volume adjustment method according to claim 1, characterized in that: the step of acquiring the voice data signal in the emergency call mode specifically means acquiring the voice data signal in the emergency call mode in a digital quantization manner.
3. An automatic call volume adjusting system applied to a T-Box of an automobile, the automatic call volume adjusting system comprising:
the sensing module is used for sensing that a user touches an SOS key on the T-Box to judge whether to enter an emergency call mode;
the acquisition module is used for acquiring a sound data signal in the emergency call mode when the automobile enters the emergency call mode;
the preprocessing module is connected with the acquisition module and used for preprocessing the sound data signal to acquire a background noise data sample; the preprocessing module carries out fast Fourier transform on the voice data signals acquired in a quantification mode; selecting a data signal falling into a preset effective frequency range from the sound data signal after the fast Fourier transform as a background noise data sample;
the first calculation module is connected with the preprocessing module and used for carrying out real-time statistical analysis on the background noise data sample and calculating the background noise intensity in an emergency call mode; the first calculation module performs real-time weighted average calculation on the selected background noise sample, and the calculated weighted result is used as the background noise intensity in the emergency call mode;
the second calculation module is connected with the preprocessing module and the first calculation module and used for calculating the voice intensity matched with the background noise intensity in real time according to the background noise intensity and a pre-stored calculation mode and adjusting the current call volume in real time according to the calculated voice intensity; the pre-storing calculation mode is as follows: the voice intensity matching the background noise intensity is the default voice intensity at zero noise + background noise intensity x a fixed value.
4. The automatic call volume adjustment system according to claim 3, wherein: the acquisition module is specifically used for acquiring the voice data signals in the emergency call mode in a digital quantization mode.
5. The automatic call volume adjustment system according to claim 4, wherein: the preprocessing module comprises:
the transformation unit is used for carrying out fast Fourier transformation on the voice data signals acquired in a quantification manner;
and the selecting unit is connected with the transforming unit and used for selecting a background noise data sample from the sound data signal after the fast Fourier transform according to a preset effective frequency range.
6. An in-vehicle apparatus characterized by comprising:
the automatic call volume adjustment system according to any one of claims 3 to 5.
7. An automobile, characterized in that the automobile comprises:
the vehicle-mounted device according to claim 6.
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| CN106412688B (en) * | 2016-10-27 | 2019-04-19 | 安徽融数信息科技有限责任公司 | A kind of smart television regulating system based on detection technique |
| CN107613134B (en) * | 2017-09-29 | 2021-04-20 | 惠州Tcl移动通信有限公司 | Control method of call volume, mobile terminal and storage medium |
| CN112331225B (en) * | 2020-10-26 | 2023-09-26 | 东南大学 | Method and device for assisting hearing in high-noise environment |
| CN113112845B (en) * | 2021-04-07 | 2022-10-14 | 苏州鱼得水电气科技有限公司 | Interference suppression system and method in duplex communication |
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