CN105847960A - Method and device for reducing quantization distortion of output audio - Google Patents
Method and device for reducing quantization distortion of output audio Download PDFInfo
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- CN105847960A CN105847960A CN201610187827.7A CN201610187827A CN105847960A CN 105847960 A CN105847960 A CN 105847960A CN 201610187827 A CN201610187827 A CN 201610187827A CN 105847960 A CN105847960 A CN 105847960A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/439—Processing of audio elementary streams
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/44—Receiver circuitry for the reception of television signals according to analogue transmission standards
- H04N5/60—Receiver circuitry for the reception of television signals according to analogue transmission standards for the sound signals
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Abstract
The invention relates to a method and a device for reducing the quantization distortion of an output audio. The method for reducing the quantization distortion of the output audio comprises the steps of obtaining initial digital audio data; re-sampling the initial digital audio data to obtain high-precision digital audio data; and conducting the signal attenuation processing of the high-precision digital audio data to output processed audio data. According to the technical scheme of the invention, the initial audio data are re-sampled, and then low-precision audio data are converted into high-precision audio data. Since the audio data obtained through the re-sampling process are high in precision, the dynamic range that can be represented is enlarged. After that, the high-precision audio data are subjected to the subsequent signal attenuation treatment. Compared with the traditional manner that low-precision audio data are directly subjected to signal attenuation, the quantization distortion is reduced, so that the finally played voice is free of the noise generated by the quantization distortion factor. Therefore, the user experience is improved.
Description
Technical field
It relates to TV technology, particularly relate to a kind of method and device reducing output audio quantization distortion.
Background technology
Intelligent television is to be equipped with operating system, the sustainable new tv product expanding function and upgrading.Intelligent electric
Depending on basic task mainly include realizing demodulation such as Media Stream such as video flowing, audio stream etc., decode and the function such as display；Along with
The development of Internet technology, the attainable allocation function of intelligent television is enriched constantly perfect, except possessing above-mentioned base
Outside this digital television business function, also add some new value-added service functions, such as can carry out remote living broadcast,
Video request program, web page browsing, digital music, network video telephone, game interactive and stock exchange etc., the richest
The rich life of people.
In prior art, TV is when playing video, and user can adjust volume according to self-demand, such as, by current
Volume is adjusted to the volume of less decibel.When current volume being adjusted to the volume of less decibel, generally use audio frequency
Data make the mode decayed.But during attenuation audio, sampling precision can be lost, cause audio frequency to occur quantifying to lose
Very；Then, after making the voice data after distortion be amplified broadcasting by the speaker of TV, sound sounds the most melodious, uncertainly
So.
Summary of the invention
For overcoming problem present in correlation technique, the disclosure provides a kind of method reducing output audio quantization distortion and dress
Put.
First aspect according to disclosure embodiment, it is provided that a kind of method reducing output audio quantization distortion, described method
Including:
Obtain initial number voice data；
Described initial number voice data is carried out resampling, it is thus achieved that high accuracy number voice data；
Described high accuracy number voice data is done the voice data after signal attenuation processes and export process.
By initial digital audio-frequency data is done resampling, after process, the precision of digital audio-frequency data improves, moving of expression
State scope is big, and after the most again high accuracy number voice data being carried out signal attenuation below, quantizing distortion will reduce,
, would not there is the noise that quantizing distortion causes in the sound the most finally played out.
Alternatively, obtain initial number voice data to include:
Obtain original compression voice data；
Described compression voice data is decoded, it is thus achieved that initial number voice data.
Original compression voice data is sent to audio decoder module, and described compression voice data is carried out by audio decoder module
Decoding, exports original digital audio data through audio frequency output processing circuit.
Alternatively, described initial number voice data is carried out resampling, it is thus achieved that high accuracy number voice data, including:
Described initial number voice data is linearly up-sampled, it is thus achieved that initial high accuracy number voice data；
Described initial high accuracy number voice data is carried out low-pass filtering treatment, it is thus achieved that high accuracy number voice data.
Use the mode of linear resampling, it is only necessary to the amplitude of adjacent 2 is assured that the amplitude of interpolation point, then leads to
Cross simple mathematical formulae and determine that the amplitude of described adjacent 2 carries out the weights of linear operation, there is the advantage that amount of calculation is little；
Meanwhile, by low-pass filtering, brought mirror image phenomenon during up-sampling can be eliminated.
Alternatively, described initial number voice data is carried out resampling, it is thus achieved that high accuracy number voice data, including:
Described initial number voice data is carried out sinusoidal up-sampling, it is thus achieved that high accuracy number voice data.
Sinusoidal resampling methods self can suppress the generation of mirror image, can need not wave filter and just can obtain relatively after resampling
Good voice data.
Alternatively, described high accuracy number voice data is done the voice data after signal attenuation processes and export process, bag
Include:
Obtain volume adjustment signals；
According to described volume adjustment signals, it is thus achieved that target decibel value；
According to described target decibel value, described high accuracy number voice data is done after signal attenuation processes and export process
Voice data.
Voice data after decoding, has an initial loudness, and this loudness is usually the highest, the most heavily adopts
The loudness that after sample, the high accuracy number voice data of formation is corresponding is also that comparison is high, so when doing signal attenuation, needing
This signal is decayed by the target decibel value according to user setup, wherein, if user setup volume 100, does not does
Decay, direct peak signal exports, otherwise, just do corresponding signal and decay and export.
According to the second aspect of disclosure embodiment, also provide for a kind of device reducing output audio quantization distortion, including:
Voice data acquisition module: be used for obtaining initial number voice data；
Voice data resampling module: for described initial number voice data is carried out resampling, it is thus achieved that high accuracy number
Voice data；
Voice data attenuation module, the sound after described high accuracy number voice data is done attenuation processing and exports process
Frequency evidence.
Alternatively, described voice data acquisition module includes:
Video signal obtains submodule, for obtaining original compression voice data；
Video signal decoding sub-module: for described compression voice data is decoded, it is thus achieved that initial number voice data.
Alternatively, described voice data resampling module includes:
Linearly up-sample submodule: for described initial number voice data is linearly up-sampled, it is thus achieved that the most high-precision
Degree digital audio-frequency data；
Low-pass filtering submodule: for described initial high accuracy number voice data is carried out low-pass filtering treatment, it is thus achieved that high
Accuracy Figure voice data.
Alternatively, described voice data resampling module includes:
Sinusoidal up-sampling submodule: for described initial number voice data being carried out sinusoidal up-sampling, it is thus achieved that the high-precision number of degrees
Word voice data.
Alternatively, described voice data attenuation module includes:
Volume adjustment signals obtains submodule: be used for obtaining volume adjustment signals.
Target decibel value obtains submodule: for according to described volume adjustment signals, it is thus achieved that target decibel value；
Voice data attenuator module: for according to described target decibel value, described high accuracy number voice data is made letter
Number attenuation processing the voice data after exporting process.
Embodiment of the disclosure that the technical scheme of offer can include following beneficial effect:
The method that disclosure embodiment provides, by decoded voice data by resampling, by the audio frequency of low precision
Data change into high-precision voice data.The voice data precision generated due to resampling improves, the dynamic range of expression
Big, more high-precision voice data is carried out signal attenuation below, directly carry out with the voice data of low precision
Signal attenuation is compared, and quantizing distortion will reduce, the sound the most finally played out, and would not occur that quantizing distortion causes
Noise problem.
It should be appreciated that it is only exemplary and explanatory that above general description and details hereinafter describe, can not
Limit the disclosure.
Accompanying drawing explanation
Accompanying drawing herein is merged in description and constitutes the part of this specification, it is shown that meet embodiments of the invention,
And for explaining the principle of the present invention together with description.
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
In technology description, the required accompanying drawing used is briefly described, it should be apparent that, for those of ordinary skill in the art
Speech, on the premise of not paying creative work, it is also possible to obtain other accompanying drawing according to these accompanying drawings.
The schematic flow sheet of a kind of method reducing output audio quantization distortion that Fig. 1 provides for disclosure embodiment；
The schematic flow sheet of the another kind of method reducing output audio quantization distortion that Fig. 2 provides for disclosure embodiment；
The schematic flow sheet of the method for another minimizing output audio quantization distortion that Fig. 3 provides for disclosure embodiment；
The schematic flow sheet of the method for another minimizing output audio quantization distortion that Fig. 4 provides for disclosure embodiment；
The schematic flow sheet of the method for another minimizing output audio quantization distortion that Fig. 5 provides for disclosure embodiment；
The structural representation of a kind of device reducing output audio quantization distortion that Fig. 6 provides for disclosure embodiment；
The structural representation of a kind of voice data acquisition module that Fig. 7 provides for disclosure embodiment；
The structural representation of a kind of voice data resampling module that Fig. 8 provides for disclosure embodiment；
The structural representation of a kind of voice data attenuation module that Fig. 9 provides for disclosure embodiment；
The structural representation of a kind of terminal that Figure 10 provides for disclosure embodiment.
Detailed description of the invention
Here will illustrate exemplary embodiment in detail, its example represents in the accompanying drawings.Explained below relates to attached
During figure, unless otherwise indicated, the same numbers in different accompanying drawings represents same or analogous key element.Following exemplary is implemented
Embodiment described in example does not represent all embodiments consistent with the present invention.On the contrary, they be only with such as
The example of the apparatus and method that some aspects that described in detail in appended claims, the present invention are consistent.
In order to solve present in prior art, TV is when playing video, when volume being adjusted to the volume of less decibel,
After audio frequency occurs that quantizing distortion is serious, and the voice data after distortion is amplified broadcasting by the speaker of TV, sound sounds
Problem the most melodious, factitious.The embodiment of the present invention provides a kind of method reducing output audio quantization distortion, is not changing
On the premise of the voice data of change source, by resampling, improve audio sample precision, decrease signal attenuation and quantify distortion,
Improve Consumer's Experience sense.
Seeing Fig. 1, a kind of method reducing output audio quantization distortion provided for disclosure embodiment, the method can be answered
For TV, certainly, those skilled in the art it will also be appreciated that described method can be also used for other terminal, as calculated
Machine, panel computer etc..As it is shown in figure 1, the method comprises the steps:
S110: obtain initial number voice data.
S120: described initial number voice data is carried out resampling, it is thus achieved that high accuracy number voice data；
S130: described high accuracy number voice data is done the voice data after signal attenuation processes and export process.
In the disclosed embodiments, described initial number voice data, refer to the voice data formed after decoding process.
Described initial number voice data does resampling process, i.e. the code check of described initial number voice data is adjusted,
By the signal that signal processing is high sampling rate of low sample frequency, such as by the initial number audio frequency number of 16bit sampling precision
According to being processed as the high accuracy number voice data of 32bit sampling precision, certainly, originally it is that skilled person it will also be appreciated that
In order to reduce data processing amount, improve data processing speed, it is also possible to by the initial number audio frequency number of 16bit sampling precision
According to being processed as the voice data of 24bit sampling precision, then the voice data 32bit of described 24bit precision is represented,
Wherein in 32-bit number rear 8 add 0, remaining 24 be significant digits.
Finally, more described high accuracy number voice data is done attenuation processing, the voice data after decay is exported accordingly
Digital-to-analogue conversion and power amplifier end, play out.
The method that disclosure embodiment provides, by initial digital audio-frequency data is done resampling, numeral sound after process
The precision of frequency evidence improves, and the dynamic range of expression is big, the most again high accuracy number voice data is carried out letter below
After number decay, quantizing distortion will reduce, and after so finally being amplified by player gain, the sound of broadcasting, would not occur
The noise that quantizing distortion causes, and then improve user experience.
In the disclosure one embodiment, refer to Fig. 2, step S110 in embodiment illustrated in fig. 1 can include walking as follows
Rapid:
S1101: obtain original compression voice data；
S1102: described compression voice data is decoded, it is thus achieved that initial number voice data.
The method that disclosure embodiment provides, is sent to audio decoder module, audio frequency solution by original compression voice data
Described compression voice data is decoded by code module, exports original digital audio data through audio frequency output processing circuit.
In another embodiment of the disclosure, refer to Fig. 3, step S120 in embodiment illustrated in fig. 1 can include as follows
Step:
S1201: described initial number voice data is linearly up-sampled, it is thus achieved that initial high accuracy number voice data；
In the disclosed embodiments, first according to the sample rate of initial number voice data and length and high accuracy number
The sample rate of voice data, it is thus achieved that the signal length of high accuracy number voice data；Then described initial number audio frequency is read in
Data, try to achieve the particular location of linear resampling and two weights；Finally, adjacent with point to be inserted according to two weights
2 amplitudes linearly combine, try to achieve will the concrete amplitude of insertion point, then can get under new sample frequency is initial high
Accuracy Figure voice data.
S1202: described initial high accuracy number voice data is carried out low-pass filtering treatment, it is thus achieved that high accuracy number audio frequency number
According to.
In the disclosed embodiments, owing to linear up-sampling can bring mirror image phenomenon, so by described initial high accuracy number
Voice data passes through low pass filter, removes mirror image, obtains high accuracy number voice data.
The method that disclosure embodiment provides, uses the mode of linear resampling, it is only necessary to the amplitude of adjacent 2 just may be used
To determine the amplitude of interpolation point, then determine that the amplitude of described adjacent 2 carries out linear operation by simple mathematical formulae
Weights, there is the advantage that amount of calculation is little；Meanwhile, by low-pass filtering, brought mirror image phenomenon when eliminating up-sampling.
In the another embodiment of the disclosure, refer to Fig. 4, step S120 in embodiment illustrated in fig. 1 can include as follows
Step:
S1203: described initial number voice data is carried out sinusoidal up-sampling, it is thus achieved that high accuracy number voice data.
In the disclosed embodiments, first according to the sample rate of initial number voice data and length and high accuracy number
The sample rate of voice data, it is thus achieved that the signal length of high accuracy number voice data；Then, set a length of window,
Point in described length of window utilizes Sine Interpolation weights formula to calculate, and determines each resampling carrying out valuation point
The value of weights；Finally, the resampling weights of every and amplitude are combined, try to achieve the concrete amplitude of interpolation, then may be used
Obtain the initial high accuracy number voice data under new sample frequency.
The method that disclosure embodiment provides, sinusoidal resampling methods self can suppress the generation of mirror image, after resampling
Need not wave filter and be obtained with preferable voice data, therefore can reduce the input cost of wave filter.Certainly, when
So, those skilled in the art it will also be appreciated that the signal in order to obtain better quality, can will generate under new sample frequency
Signal pass through low pass filter.
In the another embodiment of the disclosure, refer to Fig. 5, step S130 in embodiment illustrated in fig. 1 can include as follows
Step:
S1301: obtain volume adjustment signals；
S1302: according to described volume adjustment signals, it is thus achieved that target decibel value；
S1303: according to described target decibel value, described high accuracy number voice data is done at signal attenuation process output
Voice data after reason.
In the disclosed embodiments, the volume adjustment signals of acquisition, can be the terminal choosings such as user's remote controller of passing through TV
The user instruction triggered when selecting volume adjusting, such as, user clicks " volume-" button of television set.Can also be
The voice regulating command etc. that user is issued by speech recognition system.
After receiving described volume adjustment signals, extract the target decibel value included in described volume adjustment signals, so
Do corresponding signal attenuation according to the value of target decibel afterwards to process.
The method that disclosure embodiment provides, due to the voice data after decoding, has an initial loudness, this
Loudness is usually the highest, and the loudness that after corresponding resampling, the high accuracy number voice data of formation is corresponding also compares
High, so when doing signal attenuation, needing according to the target decibel value of user setup, this signal to be decayed, its
In, if user setup volume 100, the most not do and decay, direct peak signal exports, otherwise, just do corresponding signal decay
Defeated and export.
Based on same open design, disclosure embodiment additionally provides a kind of device reducing output audio quantization distortion.Please
It it is the structural representation of the device of the first minimizing output audio quantization distortion that disclosure embodiment provides with reference to Fig. 6, Fig. 6
Scheming, this is put and can apply in the terminal such as TV, computer, and this device includes:
Voice data acquisition module 61: be configured to obtain initial number voice data；
Voice data resampling module 62: be configured to described initial number voice data is carried out resampling, it is thus achieved that high-precision
Degree digital audio-frequency data；；
Voice data attenuation module 63, is configured to do described high accuracy number voice data attenuation processing and export process
After voice data.
In the disclosed embodiments, described initial number voice data, refer to the voice data formed after decoding process.
Described initial number voice data does resampling process, i.e. the code check of described initial number voice data data is adjusted
Whole, by the signal that signal processing is high sampling rate of low sample frequency, such as by the initial number word tone of 16bit sampling precision
Frequency evidence is processed as the high accuracy number voice data of 32bit sampling precision, certainly, is originally skilled person, also should
This is known, in order to save data processing amount, it is also possible to be processed as by the initial number voice data of 16bit sampling precision
The voice data of 24bit sampling precision, then represents the voice data 32bit of described 24bit precision, wherein 32
Latter 8 in bit digital are added 0, and remaining 24 is significant digits.
Finally, more described high accuracy number voice data is done attenuation processing, the voice data after decay is exported accordingly
Digital-to-analogue conversion and power amplifier end, play out.
This device that disclosure embodiment provides, by initial digital audio-frequency data is done resampling, numeral sound after process
The precision of frequency evidence improves, and the dynamic range of expression is big, the most again high accuracy number voice data is carried out letter below
After number decay, quantizing distortion will reduce, and after so finally being amplified by player gain, the sound of broadcasting, would not occur
The noise that quantizing distortion causes, improves user experience.
In the disclosure one embodiment, as it is shown in fig. 7, described voice data acquisition module 61 includes:
Video signal acquisition module 71, for obtaining original compression voice data；
Video signal decoder module 72: for described compression voice data is decoded, it is thus achieved that initial number voice data.
This device that disclosure embodiment provides, is sent to audio decoder module, audio frequency solution by original compression voice data
Described compression voice data is decoded by code module, exports original digital audio data through audio frequency output processing circuit.
In another embodiment of the disclosure, as shown in Figure 8, described voice data resampling module 62 includes:
Linear up-sampling submodule 81: for described initial number voice data is linearly up-sampled, it is thus achieved that the highest
Accuracy Figure voice data.
In the disclosed embodiments, first according to the sample rate of initial number voice data and length and high accuracy number
The sample rate of voice data, it is thus achieved that the signal length of high accuracy number voice data；Then described initial number audio frequency is read in
Data, try to achieve the particular location of linear resampling and two weights；Finally, adjacent with point to be inserted according to two weights
2 amplitudes linearly combine, try to achieve will the concrete amplitude of insertion point, then can get under new sample frequency is initial high
Accuracy Figure voice data.
Low-pass filtering submodule 82: for described initial high accuracy number voice data is carried out low-pass filtering treatment, it is thus achieved that
High accuracy number voice data.
In the disclosed embodiments, owing to linear up-sampling can bring mirror image phenomenon, so by described initial high accuracy number
Voice data passes through low pass filter, removes mirror image, obtains high accuracy number voice data.
This device that disclosure embodiment provides, uses the mode of linear resampling, it is only necessary to the amplitude of adjacent 2 just may be used
To determine the amplitude of interpolation point, then determine that the amplitude of described adjacent 2 carries out linear operation by simple mathematical formulae
Weights, there is the advantage that amount of calculation is little；Meanwhile, by low-pass filtering, brought mirror image phenomenon when eliminating up-sampling.
In the another embodiment of the disclosure, described voice data resampling module 62 includes:
Sinusoidal up-sampling submodule: for described initial number voice data being carried out sinusoidal up-sampling, it is thus achieved that the high-precision number of degrees
Word voice data.
In the disclosed embodiments, first according to the sample rate of initial number voice data and length and high accuracy number
The sample rate of voice data, it is thus achieved that the signal length of high accuracy number voice data；Then, set a length of window,
Point in described length of window utilizes Sine Interpolation weights formula to calculate, and determines each resampling carrying out valuation point
The value of weights；Finally, the resampling weights of every and amplitude are combined, try to achieve the concrete amplitude of interpolation, then may be used
Obtain the initial high accuracy number voice data under new sample frequency.
This device that disclosure embodiment provides, sinusoidal resampling methods self can suppress the generation of mirror image, after resampling
Need not wave filter and be obtained with preferable voice data, therefore can reduce the input cost of wave filter.Certainly, when
So, those skilled in the art it will also be appreciated that the signal in order to obtain better quality, can will generate under new sample frequency
Signal pass through low pass filter.
In the another embodiment of the disclosure, as it is shown in figure 9, described voice data attenuation module 63 includes:
Volume adjustment signals obtains submodule 91: be used for obtaining volume adjustment signals.
Target decibel value obtains submodule 92: for according to described volume adjustment signals, it is thus achieved that target decibel value；
Voice data attenuator module 93: for according to described target decibel value, described high accuracy number voice data is done
Signal attenuation processes and exports the voice data after process.
In the disclosed embodiments, the volume adjustment signals of acquisition, can be the terminal choosings such as user's remote controller of passing through TV
The user instruction triggered when selecting volume adjusting, such as, user clicks " volume-" button of television set.Can also be
The voice regulating command etc. that user is issued by speech recognition system.
After receiving described volume adjustment signals, extract the target decibel value included in described volume adjustment signals, so
Do corresponding signal attenuation according to the value of target decibel afterwards to process.
This device that disclosure embodiment provides, due to the voice data after decoding, has an initial loudness, this
Loudness is usually the highest, and the loudness that after corresponding resampling, the high accuracy number voice data of formation is corresponding also compares
High, so when doing signal attenuation, needing according to the target decibel value of user setup, this signal to be decayed, its
In, if user setup volume 100, the most not do and decay, direct peak signal exports, otherwise, just do corresponding signal decay
Defeated and export.
Figure 10 is the block diagram according to a kind of terminal 1000 shown in an exemplary embodiment.Such as, terminal 1000 can be
TV, computer, broadcast terminal, tablet device, personal digital assistant etc..
With reference to Figure 10, terminal 1000 can include following one or more assembly: processes assembly 1002, memorizer 1004,
Power supply module 1006, multimedia groupware 1008, audio-frequency assembly 1010, the interface 1012 of input/output (I/O), pass
Sensor assembly 1014, and communications component 1016.
Process assembly 1002 and generally control the integrated operation of terminal 1000, such as with display, call, data communication,
The operation that camera operation and record operation are associated.Process assembly 1002 and can include one or more processor 1020
Perform instruction, to complete all or part of step of above-mentioned method.Additionally, process assembly 1002 can include one or
Multiple modules, it is simple to process between assembly 1002 and other assemblies is mutual.Such as, process assembly 1002 can include
Multi-media module, with facilitate multimedia groupware 1008 and process between assembly 1002 mutual.
Memorizer 1004 is configured to store various types of data to support the operation in terminal 1000.These data
Example includes any application program for operation in terminal 1000 or the instruction of method, contact data, telephone directory number
According to, message, picture, video etc..Memorizer 1004 can by any kind of volatibility or non-volatile memory device or
Person's combinations thereof realizes, such as static RAM (SRAM), Electrically Erasable Read Only Memory
(EEPROM), Erasable Programmable Read Only Memory EPROM (EPROM), programmable read only memory (PROM), read-only storage
Device (ROM), magnetic memory, flash memory, disk or CD.
The various assemblies that power supply module 1006 is terminal 1000 provide electric power.Power supply module 1006 can include power management
System, one or more power supplys, and other generate, manage and distribute, with for terminal 1000, the assembly that electric power is associated.
The screen of one output interface of offer that multimedia groupware 1008 is included between described terminal 1000 and user.?
In some embodiments, screen can include liquid crystal display (LCD) and touch panel (TP).If screen includes touching
Panel, screen may be implemented as touch screen, to receive the input signal from user.Touch panel includes one or many
Individual touch sensor is with the gesture on sensing touch, slip and touch panel.Described touch sensor can not only sense tactile
Touch or the border of sliding action, but also detect the persistent period relevant to described touch or slide and pressure.One
In a little embodiments, multimedia groupware 1008 includes a front-facing camera and/or post-positioned pick-up head.When terminal 1000 is in
Operator scheme, during such as screening-mode or video mode, front-facing camera and/or post-positioned pick-up head can receive many matchmakers of outside
Volume data.Each front-facing camera and post-positioned pick-up head can be a fixing optical lens system or have focal length and light
Learn zoom capabilities.
Audio-frequency assembly 1010 is configured to output and/or input audio data.Such as, audio-frequency assembly 1010 includes a wheat
Gram wind (MIC), when terminal 1000 is in operator scheme, during such as call model, logging mode and speech recognition mode, wheat
Gram wind is configured to receive external audio data.The voice data received can be further stored at memorizer 1004 or
Send via communications component 1016.In certain embodiments, audio-frequency assembly 1010 also includes a speaker, for defeated
Go out voice data.
I/O interface 1012 provides interface, above-mentioned peripheral interface module for processing between assembly 1002 and peripheral interface module
Can be keyboard, put striking wheel, button etc..These buttons may include but be not limited to: home button, volume button, startup
Button and locking press button.
Sensor cluster 1014 includes one or more sensor, for providing the state of various aspects to comment for terminal 1000
Estimate.Such as, what sensor cluster 1014 can detect terminal 1000 opens/closed mode, the relative localization of assembly,
The most described assembly is display and the keypad of terminal 1000, sensor cluster 1014 can also detect terminal 1000 or
The position change of 1,000 1 assemblies of terminal, the presence or absence that user contacts with terminal 1000, terminal 1000 orientation
Or acceleration/deceleration and the variations in temperature of terminal 1000.Sensor cluster 1014 can include proximity transducer, is configured to use
The object near detection when not having any physical contact.Sensor cluster 1014 can also include that light senses
Device, such as CMOS or ccd image sensor, is used for using in imaging applications.In certain embodiments, this sensor group
Part 1014 can also include acceleration transducer, gyro sensor, Magnetic Sensor, pressure transducer or temperature sensor.
Communications component 1016 is configured to facilitate the communication of wired or wireless mode between terminal 1000 and other equipment.Eventually
End 1000 can access wireless network based on communication standard, such as WiFi, 2G or 3G, or combinations thereof.At one
In exemplary embodiment, communications component 1016 via broadcast channel receive from external broadcasting management system broadcast singal or
Broadcast related information.In one exemplary embodiment, described communications component 1016 also includes near-field communication (NFC) mould
Block, to promote junction service.Such as, can be based on RF identification (RFID) technology, Infrared Data Association in NFC module
(IrDA) technology, ultra broadband (UWB) technology, bluetooth (BT) technology and other technologies realize.
In the exemplary embodiment, terminal 1000 can be by one or more application specific integrated circuits (ASIC), numeral
Signal processor (DSP), digital signal processing appts (DSPD), PLD (PLD), field programmable gate
Array (FPGA), controller, microcontroller, microprocessor or other electronic components realize, and are used for performing said method.
In the exemplary embodiment, a kind of non-transitory computer-readable recording medium including instruction is additionally provided, such as
Including the memorizer 1004 of instruction, above-mentioned instruction can have been performed said method by the processor 1020 of terminal 1000.
Such as, described non-transitory computer-readable recording medium can be ROM, random access memory (RAM), CD-ROM,
Tape, floppy disk and optical data storage devices etc..
A kind of non-transitory computer-readable recording medium, when the instruction in described storage medium is performed by the processor of terminal
Time so that terminal is able to carry out a kind of information cuing method, and described method includes:
Obtain initial number voice data；
Described initial number voice data is carried out resampling, it is thus achieved that high accuracy number voice data；
Described high accuracy number voice data is done the voice data after signal attenuation processes and export process.
Those skilled in the art, after considering description and putting into practice invention disclosed herein, will readily occur to other of the present invention
Embodiment.The application is intended to any modification, purposes or the adaptations of the present invention, these modification, purposes
Or adaptations follow the present invention general principle and include the disclosure undocumented in the art known often
Know or conventional techniques means.Description and embodiments is considered only as exemplary, true scope and spirit of the invention by under
The claim in face is pointed out.
It should be appreciated that the invention is not limited in precision architecture described above and illustrated in the accompanying drawings, and
Various modifications and changes can carried out without departing from the scope.The scope of the present invention is only limited by appended claim.
Claims (10)
1. the method reducing output audio quantization distortion, it is characterised in that including:
Obtain initial number voice data；
Described initial number voice data is carried out resampling, it is thus achieved that high accuracy number voice data；
Described high accuracy number voice data is done the voice data after signal attenuation processes and export process.
The method reducing output audio quantization distortion the most according to claim 1, it is characterised in that obtain initial
Digital audio-frequency data includes:
Obtain original compression voice data；
Described compression voice data is decoded, it is thus achieved that initial number voice data.
The most according to claim 1 reduce output audio quantization distortion method, it is characterised in that to described initially
Digital audio-frequency data carries out resampling, it is thus achieved that high accuracy number voice data, including:
Described initial number voice data is linearly up-sampled, it is thus achieved that initial high accuracy number voice data；
Described initial high accuracy number voice data is carried out low-pass filtering treatment, it is thus achieved that high accuracy number voice data.
The most according to claim 1 reduce output audio quantization distortion method, it is characterised in that to described initially
Digital audio-frequency data carries out resampling, it is thus achieved that high accuracy number voice data, including:
Described initial number voice data is carried out sinusoidal up-sampling, it is thus achieved that high accuracy number voice data.
The method reducing output audio quantization distortion the most according to claim 1, it is characterised in that to described high-precision
Degree digital audio-frequency data does the voice data after signal attenuation processes and export process, including:
Obtain volume adjustment signals；
According to described volume adjustment signals, it is thus achieved that target decibel value；
According to described target decibel value, described high accuracy number voice data is done after signal attenuation processes and export process
Voice data.
6. the device reducing output audio quantization distortion, it is characterised in that including:
Voice data acquisition module: be used for obtaining initial number voice data；
Voice data resampling module: for described initial number voice data is carried out resampling, it is thus achieved that high accuracy number
Voice data；
Voice data attenuation module, the sound after described high accuracy number voice data is done attenuation processing and exports process
Frequency evidence.
The method reducing output audio quantization distortion the most according to claim 6, it is characterised in that described audio frequency number
Include according to acquisition module:
Video signal obtains submodule, for obtaining original compression voice data；
Video signal decoding sub-module: for described compression voice data is decoded, it is thus achieved that initial number voice data.
The method reducing output audio quantization distortion the most according to claim 6, it is characterised in that described audio frequency number
Include according to resampling module:
Linearly up-sample submodule: for described initial number voice data is linearly up-sampled, it is thus achieved that the most high-precision
Degree digital audio-frequency data；
Low-pass filtering submodule: for described initial high accuracy number voice data is carried out low-pass filtering treatment, it is thus achieved that high
Accuracy Figure voice data.
The method reducing output audio quantization distortion the most according to claim 6, it is characterised in that described audio frequency number
Include according to resampling module:
Sinusoidal up-sampling submodule: for described initial number voice data being carried out sinusoidal up-sampling, it is thus achieved that the high-precision number of degrees
Word voice data.
The method reducing output audio quantization distortion the most according to claim 6, it is characterised in that described audio frequency
Data attenuation module includes:
Volume adjustment signals obtains submodule: be used for obtaining volume adjustment signals；
Target decibel value obtains submodule: for according to described volume adjustment signals, it is thus achieved that target decibel value；
Voice data attenuator module: for according to described target decibel value, described high accuracy number voice data is made letter
Number attenuation processing the voice data after exporting process.
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