CN105635453A - Conversation volume automatic adjusting method and system, vehicle-mounted device, and automobile - Google Patents
Conversation volume automatic adjusting method and system, vehicle-mounted device, and automobile Download PDFInfo
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- CN105635453A CN105635453A CN201511005677.5A CN201511005677A CN105635453A CN 105635453 A CN105635453 A CN 105635453A CN 201511005677 A CN201511005677 A CN 201511005677A CN 105635453 A CN105635453 A CN 105635453A
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- background noise
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- audio data
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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 conversation volume automatic adjusting method and system, a vehicle-mounted device, and an automobile, and is applied to an automobile. The conversation volume automatic adjusting method comprises the following steps: when the automobile enters an emergency conversion mode, acquiring sound data signals in the emergency conversation mode; preprocessing the sound data signals so as to obtain a background noise data sample; performing real-time statistical analysis on the background noise data sample, and calculating background noise identity in the emergency conversation mode; and according to the background noise intensity and a prestored calculation mode, calculating in real time voice intensity matching the background noise intensity, and adjusting current conversation volume in real time according to the calculated voice intensity. The conversation volume automatic adjusting method provided by the invention can effectively inhibit background noise, improves the sharpness of calling center personnel, ensures normal telephone communication between a user and a call center and gains shortest rescue time for the user.
Description
Technical field
The invention belongs to technical field of automotive electronics, it relates to a kind of control method and system, particularly relate to a kind of In Call Automatic adjustment method, system, mobile unit and automobile.
Background technology
T-Box is extremely important parts in current interconnected automobile mounted system, and its main function is realize automobile and TSP interconnected. In the multinomial service that T-Box provides, having one to be exactly Emergency relief calling, in car, driver and conductor uses Speaker and Mike and call center in car by this service and carries out communication on telephone and carry out Emergency relief request.
Slip-stick artist can adjust T-Box in office and drive the volume of Speaker in car and gain to arrange, and provides T-Box Emergency relief to call out and use to End-Customer after cure parameter. Actual final user is when using Emergency relief to call out, ground unrest is all bigger, cause user not hear sound that Speaker transmits call center services personnel, sometimes can seriously affect user and exchange with call center's normal telephone, delay the valuable Emergency relief time.
Therefore, how a kind of In Call Automatic adjustment method, system, mobile unit and automobile are provided, with solve in prior art T-Box initiate Emergency relief call out time, there is various ground unrest to such an extent as to seriously affect user vehicle and exchange with call center's normal telephone and delay the defects such as valuable rescue time, become practitioner in the art's technical problem urgently to be resolved hurrily in fact.
Summary of the invention
The shortcoming of prior art in view of the above, it is an object of the invention to provide a kind of In Call Automatic adjustment method, system, mobile unit and automobile, for solve in prior art T-Box initiate Emergency relief call out time, there is various ground unrest to such an extent as to seriously affect the problem that user vehicle exchanges with call center's normal telephone and delay the rescue time of preciousness.
For achieving the above object and other relevant objects, one aspect of the present invention provides a kind of In Call Automatic adjustment method, it is applied to automobile, described In Call Automatic adjustment method comprises the following steps: when described automobile enters urgent call mode, gather the audio data signal in urgent call mode; Audio data signal described in pre-treatment is with background extraction noise data sample; To described background noise data sample real-time statistic analysis, and calculate background noise levels in urgent call mode; According to described background noise levels and the voice intensity that account form calculates in real time with described background noise intensity is mated that prestores, the voice intensity according to calculating regulates current talking volume in real time.
In one embodiment of the invention, the step of the audio data signal in the urgent call mode of described collection specifically refers to the audio data signal adopted in the numeral quantification urgent call mode of formula collection.
In one embodiment of the invention, described in described pre-treatment, the step of audio data signal specifically comprises: the audio data signal quantizing to gather is carried out Fast Fourier Transform (FFT); From the audio data signal after Fast Fourier Transform (FFT) conversion, background noise data sample is selected according to predetermined effective frequency scope.
In one embodiment of the invention, calculate background noise levels in urgent call mode and refer to that the ground unrest sample to choosing carries out real-time weighted average calculation, using the weighted results of calculating as background noise levels in urgent call mode.
In one embodiment of the invention, the account form that prestores in the described step calculating the voice intensity mated with described background noise intensity according to described background noise levels and the account form that prestores in real time refers to: Default sound intensity during voice intensity=zero noise mated with described background noise intensity+background noise intensity �� fixed value.
The present invention provides a kind of In Call varitrol on the other hand, it is applied to automobile, described In Call varitrol comprises: acquisition module, for, when described automobile enters urgent call mode, gathering the audio data signal in urgent call mode; Pre-processing module, is connected with described acquisition module, for audio data signal described in pre-treatment with background extraction noise data sample; First calculating module, is connected with described pre-processing module, for described background noise data sample real-time statistic analysis, and calculates background noise levels in urgent call mode; 2nd calculating module, with described pre-processing module and the first calculating model calling, for according to described background noise levels and the voice intensity that account form calculates in real time with described background noise intensity is mated that prestores, the voice intensity according to calculating regulates current talking volume in real time.
In one embodiment of the invention, described acquisition module is specifically for adopting the audio data signal in the numeral quantification urgent call mode of formula collection.
In one embodiment of the invention, described pre-processing module comprises: conversion unit, for the audio data signal quantizing to gather is carried out Fast Fourier Transform (FFT); Choose unit, it is connected with described conversion unit, for selecting background noise data sample according to predetermined effective frequency scope from the audio data signal after Fast Fourier Transform (FFT) conversion.
In one embodiment of the invention, the account form that prestores in described 2nd calculating module refers to: Default sound intensity during voice intensity=zero noise mated with described background noise intensity+background noise intensity �� fixed value.
Another aspect of the invention provides a kind of mobile unit, and described mobile unit comprises: described In Call varitrol.
Last aspect of the present invention provides a kind of automobile, and described automobile comprises: described mobile unit.
As mentioned above, it is necessary, the In Call Automatic adjustment method of the present invention, system, mobile unit and automobile, there is following useful effect:
In Call Automatic adjustment method of the present invention, system, mobile unit and automobile can effective Background suppression noise, it is to increase the sharpness of call center personnel, ensure that user exchanges with call center's normal telephone, for user strives for the shortest rescue time.
Accompanying drawing explanation
The schematic flow sheet of the In Call Automatic adjustment method that Fig. 1 is shown as the present invention in an embodiment.
Fig. 2 is shown as the schematic flow sheet of step S2 in the In Call Automatic adjustment method of the present invention.
The theory structure schematic diagram of the In Call varitrol that Fig. 3 is shown as the present invention in an embodiment.
The theory structure schematic diagram of the mobile unit that Fig. 4 is shown as the present invention in an embodiment.
The theory structure schematic diagram of the automobile that Fig. 5 is shown as the present invention in an embodiment.
Element numbers explanation
10 In Call varitrols
101 acquisition modules
102 pre-processing module
103 first calculating modules
104 the 2nd calculating modules
1021 conversion unit
1022 choose unit
2 mobile units
3 automobiles
S1��S6 step
S21��S22 step
Embodiment
Below by way of specific specific examples, embodiments of the present invention being described, those skilled in the art the content disclosed by this specification sheets can understand other advantages and effect of the present invention easily. The present invention can also be implemented by embodiments different in addition or be applied, and the every details in this specification sheets based on different viewpoints and application, can also carry out various modification or change under the spirit not deviating from the present invention. It should be noted that, when not conflicting, the feature in following examples and embodiment can combine mutually.
It should be noted that, the diagram provided in following examples only illustrates the basic conception of the present invention with illustration, then only relevant assembly but not component count when implementing according to reality, shape and size drafting in display and the present invention in graphic, during its actual enforcement, the kenel of each assembly, quantity and ratio can be a kind of change arbitrarily, and its assembly layout kenel also may be more complicated.
Embodiment one
The present embodiment provides a kind of In Call Automatic adjustment method, is applied to automobile, and described In Call Automatic adjustment method comprises the following steps:
When described automobile enters urgent call mode, gather the audio data signal in urgent call mode;
Audio data signal described in pre-treatment is with background extraction noise data sample;
To described background noise data sample real-time statistic analysis, and calculate background noise levels in urgent call mode;
According to described background noise levels and the voice intensity that account form calculates in real time with described background noise intensity is mated that prestores, the voice intensity according to calculating regulates current talking volume in real time.
Below with reference to diagram, the In Call Automatic adjustment method described in the present embodiment is described in detail. Refer to Fig. 1, it is shown as the schematic flow sheet of In Call Automatic adjustment method in an embodiment. As shown in Figure 1, described In Call Automatic adjustment method specifically comprises following step:
S1, when described automobile enters urgent call mode, it may also be useful to the audio data signal in the urgent call mode of microphone collection of T-Box. Concrete, adopt the audio data signal in the numeral quantification urgent call mode of formula collection. In the present embodiment, the SOS button touched on T-Box by thoughts and feelings user judges whether to enter urgent call mode.
S2, audio data signal described in pre-treatment is with background extraction noise data sample. Refer to Fig. 2, it is shown as the schematic flow sheet of step S2. As shown in Figure 2, described step S2 specifically comprises following step:
S21, carries out Fast Fourier Transform (FFT) to the audio data signal quantizing to gather. The audio data signal quantizing to gather is the process of a kind of pulse code modulation (PCM), the process of described pulse code modulation is exactly a Time Continuous, value continuous print simulating signal is transformed into time discrete, transmits in the channel after the numerary signal that value is discrete. Simulating signal is first sampled by pulse code modulation exactly, then sample value amplitude is quantized, the process of coding.
S22, selects background noise data sample according to predetermined effective frequency scope from the audio data signal after Fast Fourier Transform (FFT) conversion. In the present embodiment, the PCM value that numeral quantizes formula collection carries out Fast Fourier Transform (FFT) (FFT) realization by the conversion of audio data signal from time domain to frequency domain, the frequency of the audio data signal of the conversion from time domain to frequency domain is at (20Hz, 20000Hz) sample outside scope is invalid sample, because, the sound frequency that usual people's ear can be heard is between (20Hz, 20000Hz). Frequency drops on (sound frequency threshold value, sample 4000Hz) is defined as nature person's sample sound, and frequency drops on (20, sound frequency threshold value), sample in (4000Hz, 20000Hz) scope is just defined as background noise data sample. So, in the present embodiment, by (20, sound frequency threshold value) and (4000Hz, 20000Hz) being set as to predetermined effective frequency scope, if the frequency of sample drops within the scope of described predetermined effective frequency, then choosing this sample is background noise data sample. Wherein, described sound frequency threshold value is greater than 20Hz.
S3, to described background noise data sample real-time statistic analysis, and calculates background noise levels in urgent call mode. In the present embodiment, calculate background noise levels in urgent call mode and refer to that the ground unrest sample to choosing carries out real-time weighted average calculation, using the weighted results of calculating as background noise levels in urgent call mode. In the present embodiment, N is adopted to represent background noise levels.
Such as, described background noise data sample is often chosen 5 sampling sampling points and calculates a background noise levels,
The background noise levels in the first moment=(f1+f2+f3+f4+f5)/5;
The background noise levels in the 2nd moment=(f2+f3+f4+f5+f6)/5;
��
The background noise levels in the n-th moment=(fn+fn+1+fn+2+fn+3+fn+4)/5.
S4, according to described background noise levels and the voice intensity that account form calculates in real time with described background noise intensity is mated that prestores, the voice intensity according to calculating regulates current talking volume in real time. Wherein, the account form that prestores described in refers to:
Default sound intensity during voice intensity=zero noise mated with described background noise intensity+background noise intensity �� fixed value. In the present embodiment, adopting V to represent and the voice intensity that described background noise intensity is mated, Default sound intensity when V0 represents zero noise, P represents fixed value, and the transformation of the way represents that N is the constant parameter of V. P is in fact that the sound processing chip used with reality has relation, it is possible to calculate in experiment: counter push away P=(V-V0)/N, sets certain N and is worth noise, and the V value of the In Call that manual regulation is suitable, then derives P.
Voice intensity N according to calculating regulates current talking volume in real time. And then at the voice with this volume output call center personnel to Speaker, to ensure that user hears the voice of clear loud center personnel.
S5, judges whether described urgent call mode terminates, if then performing step S6, namely automatically exiting from urgent call mode. If not, then return step S1, continue the audio data signal used in the urgent call mode of microphone collection of T-Box.
In Call Automatic adjustment method described in the present embodiment can effective Background suppression noise, it is to increase the sharpness of call center personnel, ensure that user exchanges with call center's normal telephone, for user strives for the shortest rescue time.
Embodiment two
The present embodiment provides a kind of In Call varitrol, is applied to automobile, and described In Call varitrol comprises:
Acquisition module, for, when described automobile enters urgent call mode, gathering the audio data signal in urgent call mode;
Pre-processing module, is connected with described acquisition module, for audio data signal described in pre-treatment with background extraction noise data sample;
First calculating module, is connected with described pre-processing module, for described background noise data sample real-time statistic analysis, and calculates background noise levels in urgent call mode;
2nd calculating module, with described pre-processing module and the first calculating model calling, for according to described background noise levels and the voice intensity that account form calculates in real time with described background noise intensity is mated that prestores, the voice intensity according to calculating regulates current talking volume in real time.
Below with reference to diagram, the In Call varitrol described in the present embodiment is described in detail. Refer to Fig. 3, it is shown as the theory structure schematic diagram of In Call varitrol in an embodiment. As shown in Figure 3, described In Call varitrol 10 comprises: acquisition module 101, pre-processing module 102, first calculate module 103 and the 2nd calculating module 104.
Described acquisition module 101 is for, when described automobile enters urgent call mode, gathering the audio data signal in urgent call mode. Concrete, adopt the audio data signal in the numeral quantification urgent call mode of formula collection. In the present embodiment, the SOS button touched on T-Box by thoughts and feelings user judges whether to enter urgent call mode. Described acquisition module 101 is the microphone of T-Box.
The pre-processing module 102 being connected with described acquisition module 101 for audio data signal described in pre-treatment with background extraction noise data sample. Please continue to refer to Fig. 3, described pre-processing module 102 specifically comprises: converts unit 1021 and chooses unit 1022.
Described conversion unit 1021 is for carrying out Fast Fourier Transform (FFT) to the audio data signal quantizing to gather. The audio data signal quantizing to gather is the process of a kind of pulse code modulation (PCM), the process of described pulse code modulation is exactly a Time Continuous, value continuous print simulating signal is transformed into time discrete, transmits in the channel after the numerary signal that value is discrete. Simulating signal is first sampled by pulse code modulation exactly, then sample value amplitude is quantized, the process of coding.
What be connected with described conversion unit 1021 chooses unit 1022 for selecting background noise data sample according to predetermined effective frequency scope from the audio data signal after Fast Fourier Transform (FFT) conversion. In the present embodiment, the PCM value that numeral quantizes formula collection carries out Fast Fourier Transform (FFT) (FFT) realization by the conversion of audio data signal from time domain to frequency domain, the frequency of the audio data signal of the conversion from time domain to frequency domain is at (20Hz, 20000Hz) sample outside scope is invalid sample, because, the sound frequency that usual people's ear can be heard is between (20Hz, 20000Hz). Frequency drops on (sound frequency threshold value, sample 4000Hz) is defined as nature person's sample sound, and frequency drops on (20, sound frequency threshold value), sample in (4000Hz, 20000Hz) scope is just defined as background noise data sample. So, in the present embodiment, described unit 1022 of choosing is by (20, sound frequency threshold value) and (4000Hz, 20000Hz) it is set as to predetermined effective frequency scope, if the frequency of sample drops within the scope of described predetermined effective frequency, then choosing this sample is background noise data sample. Wherein, described sound frequency threshold value is greater than 20Hz.
The the first calculating module 103 being connected with described pre-processing module 102 is for described background noise data sample real-time statistic analysis, and calculates background noise levels in urgent call mode. In the present embodiment, described first calculating module 103 calculates background noise levels in urgent call mode and refers to that the ground unrest sample to choosing carries out real-time weighted average calculation, using the weighted results of calculating as background noise levels in urgent call mode. In the present embodiment, N is adopted to represent background noise levels.
Such as, described background noise data sample is often chosen 5 sampling sampling points and calculates a background noise levels,
The background noise levels in the first moment=(f1+f2+f3+f4+f5)/5;
The background noise levels in the 2nd moment=(f2+f3+f4+f5+f6)/5;
��
The background noise levels in the n-th moment=(fn+fn+1+fn+2+fn+3+fn+4)/5.
The 2nd calculating module 104 being connected with described pre-processing module 102 and the first calculating module 103 is for according to described background noise levels and the voice intensity that account form calculates in real time with described background noise intensity is mated that prestores, the voice intensity according to calculating regulates current talking volume in real time. Wherein, the account form that prestores in described 2nd calculating module 104 refers to:
Default sound intensity during voice intensity=zero noise mated with described background noise intensity+background noise intensity �� fixed value. In the present embodiment, adopting V to represent and the voice intensity that described background noise intensity is mated, Default sound intensity when V0 represents zero noise, P represents fixed value, and the transformation of the way represents that N is the constant parameter of V. P is in fact that the sound processing chip used with reality has relation, it is possible to calculate in experiment: counter push away P=(V-V0)/N, sets certain N and is worth noise, and the V value of the In Call that manual regulation is suitable, then derives P.
Voice intensity N according to calculating regulates current talking volume in real time. And then at the voice with this volume output call center personnel to Speaker, to ensure that user hears the voice of clear loud center personnel.
With described 2nd calculating module 104 is connected judge that module 105 is for judging whether described urgent call mode terminates, if, then call termination module 106 automatically exit from urgent call mode. If not, then the audio data signal that acquisition module 101 continues to use in the urgent call mode of microphone collection of T-Box is continued to call.
Embodiment three
The present embodiment provides a kind of mobile unit 2, refers to Fig. 4, is shown as the theory structure schematic diagram of mobile unit in an embodiment. As shown in Figure 4, described mobile unit 2 comprises in embodiment two the In Call varitrol 10 described in detail. In the present embodiment, described mobile unit 2 is specially T-Box.
The present embodiment also provides a kind of automobile 3, refers to Fig. 5, is shown as the theory structure schematic diagram of automobile in an embodiment. As shown in Figure 5, described automobile 3 comprise described in be configured with the mobile unit 2 of In Call varitrol 10.
In sum, In Call Automatic adjustment method of the present invention, system, mobile unit and automobile can effective Background suppression noises, improve the sharpness of call center personnel, ensure that user exchanges with call center's normal telephone, for user strives for the shortest rescue time. So, the present invention effectively overcomes various shortcoming of the prior art and tool high industrial utilization.
Above-described embodiment is the principle of illustrative the present invention and effect thereof only, but not for limiting the present invention. Above-described embodiment all under the spirit not running counter to the present invention and category, can be modified or change by any person skilled in the art scholar. Therefore, in art, tool usually intellectual, not departing under disclosed spirit and technological thought all the equivalence modifications completed or change, must be contained by the claim of the present invention such as.
Claims (11)
1. an In Call Automatic adjustment method, is applied to automobile, it is characterised in that, described In Call Automatic adjustment method comprises the following steps:
When described automobile enters urgent call mode, gather the audio data signal in urgent call mode;
Audio data signal described in pre-treatment is with background extraction noise data sample;
To described background noise data sample real-time statistic analysis, and calculate background noise levels in urgent call mode;
According to described background noise levels and the voice intensity that account form calculates in real time with described background noise intensity is mated that prestores, the voice intensity according to calculating regulates current talking volume in real time.
2. volume automatic regulating method according to claim 1, it is characterised in that: the step of the audio data signal in the urgent call mode of described collection specifically refers to the audio data signal adopted in the numeral quantification urgent call mode of formula collection.
3. volume automatic regulating method according to claim 2, it is characterised in that: described in described pre-treatment, the step of audio data signal specifically comprises:
The audio data signal quantizing to gather is carried out Fast Fourier Transform (FFT);
From the audio data signal after Fast Fourier Transform (FFT) conversion, background noise data sample is selected according to predetermined effective frequency scope.
4. volume automatic regulating method according to claim 3, it is characterized in that: calculate background noise levels in urgent call mode and refer to that the ground unrest sample to choosing carries out real-time weighted average calculation, using the weighted results of calculating as background noise levels in urgent call mode.
5. volume automatic regulating method according to claim 1, it is characterised in that: the account form that prestores in the described step calculating the voice intensity mated with described background noise intensity according to described background noise levels and the account form that prestores in real time refers to:
Default sound intensity during voice intensity=zero noise mated with described background noise intensity+background noise intensity �� fixed value.
6. an In Call varitrol, is applied to automobile, it is characterised in that, described In Call varitrol comprises:
Acquisition module, for, when described automobile enters urgent call mode, gathering the audio data signal in urgent call mode;
Pre-processing module, is connected with described acquisition module, for audio data signal described in pre-treatment with background extraction noise data sample;
First calculating module, is connected with described pre-processing module, for described background noise data sample real-time statistic analysis, and calculates background noise levels in urgent call mode;
2nd calculating module, with described pre-processing module and the first calculating model calling, for according to described background noise levels and the voice intensity that account form calculates in real time with described background noise intensity is mated that prestores, the voice intensity according to calculating regulates current talking volume in real time.
7. In Call varitrol according to claim 6, it is characterised in that: described acquisition module is specifically for adopting the audio data signal in the numeral quantification urgent call mode of formula collection.
8. In Call varitrol according to claim 7, it is characterised in that: described pre-processing module comprises:
Conversion unit, for carrying out Fast Fourier Transform (FFT) to the audio data signal quantizing to gather;
Choose unit, it is connected with described conversion unit, for selecting background noise data sample according to predetermined effective frequency scope from the audio data signal after Fast Fourier Transform (FFT) conversion.
9. In Call varitrol according to claim 6, it is characterised in that: the account form that prestores in described 2nd calculating module refers to:
Default sound intensity during voice intensity=zero noise mated with described background noise intensity+background noise intensity �� fixed value.
10. a mobile unit, it is characterised in that, described mobile unit comprises:
In Call varitrol as according to any one of claim 6-9.
11. 1 kinds of automobiles, it is characterised in that, described automobile comprises:
Mobile unit as claimed in claim 10.
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| CN112331225A (en) * | 2020-10-26 | 2021-02-05 | 东南大学 | Method and device for assisting hearing in high-noise environment |
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