CN114792525A - Method and system for correcting broadcast timbre - Google Patents
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Abstract
The invention discloses a method and a system for correcting broadcast timbre, which comprises the steps of capturing and analyzing sound wave characteristic information; inputting the sound wave characteristic information for correction to obtain a theoretical audio theta; matching current environment information, and carrying out environmental processing on the theoretical audio theta to obtain an environment audio rho; extracting the environmental audio rho and broadcasting, after acquiring corresponding sound wave characteristic information, carrying out theoretical correction through a correction module, and then further carrying out timbre environment through matching environmental information, thereby further improving the quality of timbre adjustment.
Description
Technical Field
The present invention relates to the field of broadcast communication technologies, and in particular, to a method and a system for correcting a broadcast tone.
Background
Broadcasting is a common mode of propagation and is one of the media that has started to be popular in the last 20 th century. However, with the evolution of technology, broadcasting has undergone three generations of revolution, from the first analog broadcasting to digital broadcasting, to the present network broadcasting. With the development of the internet, the mobile internet, cloud computing, big data and the internet of things, the broadcasting system based on the internet of things will become a new generation (i.e., fourth generation) broadcasting system.
It is undeniable that the timbre of the broadcast is never a negligible consideration for the nature of the broadcast product, regardless of which generation of broadcast system. The existing equipment and method for adjusting the tone color do not consider a plurality of factors influencing the tone color, and the adjustment result is relatively subjective and subjective. Therefore, it is important to find a new method for correcting the timbre of the broadcast.
Disclosure of Invention
This section is for the purpose of summarizing some aspects of embodiments of the invention and to briefly introduce some preferred embodiments. In this section, as well as in the abstract and title of the application, simplifications or omissions may be made to avoid obscuring the purpose of the section, the abstract and the title, and such simplifications or omissions are not intended to limit the scope of the invention.
The present invention has been made in view of the above-mentioned problems occurring in the conventional apparatuses and methods for adjusting timbres.
Therefore, the technical problem solved by the invention is as follows: the method solves the problems that the existing equipment and method for adjusting the tone do not consider numerous factors influencing the tone, and the adjustment result is relatively unilateral and subjective.
In order to solve the technical problems, the invention provides the following technical scheme: a method for correcting broadcast tone comprises capturing and analyzing sound wave characteristic information; inputting the sound wave characteristic information for correction to obtain theoretical audio theta; matching current environment information, and carrying out environmental processing on the theoretical audio theta to obtain an environment audio rho; and extracting the environment audio rho and broadcasting.
As a preferable aspect of the method of correcting a broadcast tone color according to the present invention, wherein: the sound wave characteristic information comprises frequency f, amplitude p and phase phi.
As a preferable aspect of the method of correcting a broadcast tone color according to the present invention, wherein: correcting the sound wave characteristic information comprises inputting the sound wave characteristic information and carrying out noise reduction pretreatment; constructing a neural network model; after the preprocessed sound wave characteristic information is loaded to the neural network model, selecting training parameters to train and learn the neural network model, and judging whether the noise reduction preprocessing reaches the standard or not according to a training and learning output value; and outputting the sound wave characteristic information which reaches the standard of training learning in real time, and performing noise reduction pretreatment on the sound wave characteristic information which does not reach the standard again and then performing the training learning.
As a preferable aspect of the method of correcting a broadcast tone color according to the present invention, wherein: after the specific value of the training parameter is selected, a training learning standard threshold value is correspondingly obtained; and when the preprocessed sound wave characteristic information training learning output value reaches the training learning standard threshold value, defining that the preprocessed sound wave characteristic information reaches the standard.
As a preferable aspect of the method of correcting a broadcast tone color according to the present invention, wherein: the theoretical audio theta is obtained by the following formula,
where f is frequency, p is amplitude, φ is phase, T is period, λ is wavelength, θ is theoretical tone.
As a preferable aspect of the method of correcting a broadcast tone color according to the present invention, wherein: the environment information includes a size S of the detection space and a size L of the regional air flow rate.
As a preferable aspect of the method of correcting a broadcast tone color according to the present invention, wherein: the ambient audio p is obtained by the following formula,
wherein f is frequency, theta is theoretical audio, T is period, lambda is wavelength, S is size of detection space, L is size of regional air flow rate, and rho is ambient audio.
In order to solve the technical problems, the invention also provides the following technical scheme: a system for correcting broadcast timbre comprises a capturing analysis module, a sound wave characteristic information acquisition module, a sound wave characteristic information analysis module and a sound wave characteristic information analysis module, wherein the capturing analysis module is used for capturing and analyzing sound wave characteristic information; the input module is connected with the grabbing analysis module and is used for inputting the sound wave characteristic information; the correction module is connected with the input module and used for correcting the sound wave characteristic information to obtain theoretical audio theta; the matching module is connected with the correction module, receives the theoretical audio theta, matches corresponding environment information and obtains an environment audio rho; and the central control module is connected with the matching module and used for extracting the environment audio rho and broadcasting the environment audio rho.
As a preferable aspect of the system for correcting a broadcast tone according to the present invention, wherein: the correction module comprises a preprocessing unit for carrying out noise reduction preprocessing on the input sound wave characteristic information; the building unit is used for building a neural network model and training and learning through the built neural network model; the calculation unit is used for calculating a training learning standard threshold matched with the training parameters and calculating theoretical audio theta; and the judging unit is used for judging whether the preprocessed sound wave characteristic information reaches the standard or not.
As a preferable aspect of the system for correcting a broadcast tone according to the present invention, wherein: the matching module comprises a receiving unit used for receiving the theoretical audio theta; and the acquisition unit is used for acquiring the environmental information and acquiring the environmental audio rho through the environmental information.
The invention has the beneficial effects that: according to the method and the system for correcting the broadcast tone, the corresponding tone wave characteristic information is acquired, then theoretical correction is performed through the correction module, and the tone color is further subjected to environment through matching environment information, so that the quality of tone color adjustment is further improved, and the problems that the existing equipment and method for adjusting the tone color do not consider a plurality of factors influencing the tone color, and the adjustment result is relatively subjective and subjective are solved.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the description below are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive labor. Wherein:
FIG. 1 is a flow chart of a method for modifying broadcast timbre in accordance with the present invention;
fig. 2 is a block diagram of a system for modifying broadcast timbre according to the invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention more comprehensible, embodiments accompanying figures of the present invention are described in detail below, and it is apparent that the described embodiments are a part, not all or all of the embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, shall fall within the protection scope of the present invention.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways than those specifically described and will be readily apparent to those of ordinary skill in the art without departing from the spirit of the present invention, and therefore the present invention is not limited to the specific embodiments disclosed below.
Furthermore, the references herein to "one embodiment" or "an embodiment" refer to a particular feature, structure, or characteristic that may be included in at least one implementation of the present invention. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
The present invention will be described in detail with reference to the drawings, wherein the cross-sectional views illustrating the structure of the device are not enlarged partially in general scale for convenience of illustration, and the drawings are only exemplary and should not be construed as limiting the scope of the present invention. In addition, the three-dimensional dimensions of length, width and depth should be included in the actual fabrication.
Meanwhile, in the description of the present invention, it should be noted that the terms "upper, lower, inner and outer" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of describing the present invention and simplifying the description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation and operate, and thus, cannot be construed as limiting the present invention. Furthermore, the terms first, second, or third are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
The terms "mounted, connected and connected" in the present invention are to be understood broadly, unless otherwise explicitly specified or limited, for example: can be fixedly connected, detachably connected or integrally connected; they may be mechanically, electrically, or directly connected, or indirectly connected through intervening media, or may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in a specific case to those of ordinary skill in the art.
Example 1
The existing equipment and method for adjusting the tone color do not consider a plurality of factors influencing the tone color, and the adjustment result is relatively subjective and subjective.
Therefore, referring to fig. 1, the present invention provides a method for correcting a broadcast timbre, comprising:
capturing and analyzing sound wave characteristic information;
inputting sound wave characteristic information for correction to obtain theoretical audio theta;
matching current environment information, and performing environmental quantization on the theoretical audio theta to obtain an environment audio rho;
the ambient audio ρ is extracted and broadcast.
It should be noted that, the method of capturing and analyzing the sound wave characteristic information by using the related device and based on the motion detection mechanism is adopted in the process, so before the sound wave characteristic information is collected, a motion detection step is further included, and the related settings for motion detection of the picture are as follows: the image frame is divided into a plurality of image blocks, each image block is set as a mobile detection area, and the mobile detection area is numbered. Those skilled in the art can flexibly divide the picture area to obtain a better detection effect.
In a specific acquisition process, the image frames in the period are subjected to movement detection to acquire sound characteristics in a sound acquisition period.
The sound wave characteristic information comprises frequency f, amplitude p and phase phi. Taking into account that the tone is formed by the frequency f
The tone with high frequency is high, the tone is a general name of the 20Hz-20kHz frequency of the human voice, the human voice has a plurality of frequencies, and each frequency has a corresponding wavelength and period; the amplitude p determines the loudness, and the larger the amplitude is, the louder the amplitude is; the wavelength λ, the period T, is affected by the tone; the phase phi is generally related to the location of the utterance, e.g., the phase of the sound is constantly changing as the person moves. Therefore, the frequency f, amplitude p and phase phi are selected as the acoustic wave characteristic information.
Further, the modifying the acoustic wave characteristic information includes:
inputting sound wave characteristic information and carrying out noise reduction pretreatment;
constructing a neural network model;
after the preprocessed sound wave characteristic information is loaded to the neural network model, selecting training parameters to train and learn the neural network model, and judging whether the noise reduction preprocessing reaches the standard or not according to a training and learning output value;
and outputting the sound wave characteristic information reaching the standard of training learning in real time, and performing noise reduction pretreatment on the sound wave characteristic information not reaching the standard again and then performing training learning.
In the method, noise reduction pretreatment is performed in advance after sound wave characteristic information is input, noise is preferentially processed, and the target sound wave which is as pure as possible is obtained.
The method comprises the following specific steps of carrying out noise reduction pretreatment:
the method comprises the following steps: respectively collecting sound wave vibration signals with high signal-to-noise ratio and low signal-to-noise ratio by using an acceleration sensor, wherein the sound wave vibration signals with high signal-to-noise ratio are reference signals;
step two: carrying out short-time Fourier transform on the vibration signal with low signal-to-noise ratio;
step three: performing pre-whitening operation to obtain a time-frequency-amplitude three-dimensional vibration image after pre-whitening;
firstly, a covariance matrix of a time-frequency-amplitude three-dimensional vibration image corresponding matrix is obtained,
calculating the covariance of the sample;
performing whitening operation on the covariance matrix to obtain a whitening matrix;
whitening the time-frequency-amplitude three-dimensional vibration image obtained by the short-time Fourier transform through a whitening matrix to obtain a vibration signal after pre-whitening;
step four: carrying out inverse short-time Fourier transform on the pre-whitened three-dimensional vibration image to obtain a time domain vibration image corresponding to the pre-whitened vibration signal;
step five: and carrying out noise reduction processing on the pre-whitened vibration image to obtain a noise-reduced vibration signal, comparing the pre-whitened and noise-reduced vibration signal with a reference signal with a high signal-to-noise ratio, and analyzing the noise reduction effect after pre-whitening, thereby further carrying out signal detection and fault diagnosis.
As described in table 1 below, is the ratio of the original degree of reduction to the acoustic wave with and without pretreatment
And (4) tabulating:
table 1: target sound wave original reduction comparison table
Degree of original reduction (%)
Without noise reduction pretreatment 74.66
Using noise reduction pretreatment 94.18
As is apparent from table 1 above, the importance of noise reduction preprocessing after inputting the acoustic wave characteristic information is important.
Preferably, the neural network model is constructed by:
wherein G represents a frequency f-input formula, D represents an amplitude p-input formula, E represents a phase phi-input formula,
the output V value represents a training learning output value.
Further, after a specific value of a training parameter is selected, a training learning standard threshold value is correspondingly obtained; and when the training and learning output value of the preprocessed sound wave characteristic information reaches the training and learning standard threshold, defining that the preprocessed sound wave characteristic information reaches the standard.
After the specific value of the training parameter is selected, a training learning standard threshold value Y is correspondingly obtained through the following formula:
generally, sound with frequency of 55HZ and amplitude of 45 ° under 20db environment is selected as a specific value of the training parameter for input.
Further, the theoretical audio θ is obtained by the following equation:
wherein f is frequency, p is amplitude, phi is phase, T is period, lambda is wavelength, and theta is theoretical audio.
When the theoretical audio is subjected to environment matching, the environment information includes the size S of the detection space and the size L of the regional air flow rate. The invention adopts the millimeter wave radar and the flow velocity sensor to collect corresponding information.
It should be noted that: the radar has the following advantages in consideration of the short wavelength characteristic of the millimeter wave: firstly, small-size targets or target details in space can be effectively detected and identified; the millimeter wave element has small packaging volume, compact structure and light weight, and can meet the requirements of the system on the volume and the weight of the radar; thirdly, the beams generated by the millimeter wave antenna are narrow, and the angle measurement precision is high. Therefore, a millimeter wave radar is used to detect the size of the space.
Specifically, the flow rate sensor is a LaserFlow & trade non-contact flow rate sensor.
Preferably, the ambient audio ρ is obtained by the following formula:
wherein f is frequency, theta is theoretical audio, T is period, lambda is wavelength, S is size of detection space, L is size of regional air flow rate, and rho is ambient audio.
As shown in table 2 below, for the comparison of the quality of the timbre adjustment using the present invention and the prior art (performing a unified correction of the conventional formula, regardless of the specific environment, and regardless of the distinctive characteristics of the specific target sound wave):
table 2: comparison table of the invention and the prior art on the quality of tone adjustment
The sound quality effect of the adjusted difference (%) of different sounds compared with the original sound
12.3347.20164.12% standard tone quality and 35.88% lower than standard tone quality in the prior art
63.28977.6994.66% high tone quality and 5.34% standard tone quality
As can be seen from table 2 above, in consideration of many different practical situations, the degree of distinction between different sounds adjusted by the present invention and the original sound and the degree of distinction between different sounds and the original sound are both significantly higher than those in the prior art, and the sound quality effect after adjustment is also significantly higher than that in the prior art.
According to the method and the system for correcting the broadcast tone, the corresponding tone wave characteristic information is obtained, then the theoretical correction is carried out through the correction module, and the tone color environment is further carried out through the matching environment information, so that the high quality degree of tone color adjustment is further improved, and the problems that the existing equipment and the existing method for adjusting the tone color do not consider numerous factors influencing the tone color, and the adjustment result is relatively subjective and subjective are solved.
Example 2
Referring to fig. 2, a first embodiment of a system for correcting broadcast timbre according to the present invention is shown: a system for modifying broadcast timbre, comprising:
a capture analysis module 100, configured to capture and analyze acoustic wave characteristic information;
the input module 200 is connected with the grabbing analysis module 100 and used for inputting sound wave characteristic information;
the correction module 300 is connected with the input module 200 and is used for correcting the sound wave characteristic information to obtain a theoretical audio theta;
the matching module 400 is connected with the correcting module 300, receives the theoretical audio theta, matches corresponding environment information and obtains an environment audio rho;
and the central control module 500 is connected with the matching module 400, and is used for extracting the environmental audio rho and broadcasting the environmental audio rho.
Further, the modification module 300 includes:
the preprocessing unit is used for carrying out noise reduction preprocessing on the input sound wave characteristic information;
the building unit is used for building a neural network model and training and learning through the built neural network model;
the calculation unit is used for calculating a training learning standard threshold matched with the training parameters and calculating theoretical audio theta;
and the judging unit is used for judging whether the preprocessed sound wave characteristic information reaches the standard or not.
Further, the matching module 400 includes:
a receiving unit for receiving a theoretical audio θ;
and the acquisition unit is used for acquiring the environment information and acquiring the environment audio rho through the environment information.
It should be recognized that embodiments of the present invention can be realized and implemented in computer hardware, a combination of hardware and software, or by computer instructions stored in a non-transitory computer readable memory. The methods may be implemented in a computer program using standard programming techniques, including a non-transitory computer-readable storage medium configured with the computer program, where the storage medium so configured causes a computer to operate in a specific and predefined manner according to the methods and figures described in the detailed description. Each program may be implemented in a high level procedural or object oriented programming language to communicate with a computer system. However, the program(s) can be implemented in assembly or machine language, if desired. In any case, the language may be a compiled or interpreted language. Furthermore, the program can be run on a programmed application specific integrated circuit for this purpose.
Further, the operations of processes described herein can be performed in any suitable order unless otherwise indicated herein or otherwise clearly contradicted by context. The processes described herein (or variations and/or combinations thereof) may be performed under the control of one or more computer systems configured with executable instructions, and may be implemented as code (e.g., executable instructions, one or more computer programs, or one or more applications) collectively executed on one or more processors, by hardware, or combinations thereof. The computer program includes a plurality of instructions executable by one or more processors.
Further, the method may be implemented in any type of computing platform operatively connected to a suitable interface, including but not limited to a personal computer, mini computer, mainframe, workstation, networked or distributed computing environment, separate or integrated computer platform, or in communication with a charged particle tool or other imaging device, and the like. Aspects of the invention may be embodied in machine-readable code stored on a non-transitory storage medium or device, whether removable or integrated into a computing platform, such as a hard disk, optically read and/or write storage medium, RAM, ROM, or the like, such that it may be read by a programmable computer, which when read by the storage medium or device, is operative to configure and operate the computer to perform the procedures described herein. Further, the machine-readable code, or portions thereof, may be transmitted over a wired or wireless network. The invention described herein includes these and other different types of non-transitory computer-readable storage media when such media includes instructions or programs that implement the steps described above in conjunction with a microprocessor or other data processor. The invention also includes the computer itself when programmed according to the methods and techniques described herein. A computer program can be applied to input data to perform the functions described herein to transform the input data to generate output data that is stored to non-volatile memory. The output information may also be applied to one or more output devices, such as a display. In a preferred embodiment of the invention, the transformed data represents physical and tangible objects, including particular visual depictions of physical and tangible objects produced on a display.
As used in this application, the terms "component," "module," "system," and the like are intended to refer to a computer-related entity, either hardware, firmware, a combination of hardware and software, or software in execution. For example, a component may be, but is not limited to being: a process running on a processor, an object, an executable, a thread of execution, a program, and/or a computer. By way of example, both an application running on a computing device and the computing device can be a component. One or more components can reside within a process and/or thread of execution and a component can be localized on one computer and/or distributed between two or more computers. In addition, these components can execute from various computer readable media having various data structures stored thereon. The components may communicate by way of local and/or remote processes such as in accordance with a signal having one or more data packets (e.g., data from one component interacting with another component in a local system, distributed system, and/or across a network such as the internet with other systems by way of the signal).
It should be noted that the above-mentioned embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, which should be covered by the claims of the present invention.
Claims (10)
1. A method of modifying the timbre of a broadcast, the method comprising: comprises the steps of (a) preparing a substrate,
capturing and analyzing sound wave characteristic information;
inputting the sound wave characteristic information for correction to obtain theoretical audio theta;
matching the current environment information, and making the theoretical audio theta be environmental to obtain the environmental audio
Extracting the environmental audio
And broadcast is performed.
2. The method of claim 1, wherein the method further comprises: the sound wave characteristic information comprises frequency f, amplitude p and phase
3. A method of modifying the timbre of a broadcast as claimed in claim 2, wherein: the modifying the acoustic wave characteristic information may include,
inputting the sound wave characteristic information and carrying out noise reduction pretreatment;
constructing a neural network model;
after the preprocessed sound wave characteristic information is loaded to the neural network model, selecting training parameters to carry out training and learning on the sound wave characteristic information, and judging whether the noise reduction preprocessing reaches the standard or not according to a training and learning output value;
and outputting the sound wave characteristic information which reaches the standard of training learning in real time, and performing noise reduction pretreatment on the sound wave characteristic information which does not reach the standard again and then performing the training learning.
4. A method of modifying the timbre of a broadcast as claimed in claim 3, wherein: after the specific value of the training parameter is selected, a training learning standard threshold value is correspondingly obtained; and when the preprocessed sound wave characteristic information training learning output value reaches the training learning standard threshold value, defining that the preprocessed sound wave characteristic information reaches the standard.
5. A method of modifying the timbre of a broadcast as claimed in any one of claims 2 to 4 wherein: the theoretical audio theta is obtained by the following formula,
wherein f is frequency, p is amplitude,
Is phase, T is period, lambda is wavelength, theta is theoretical tone.
6. The method of claim 5, wherein the step of modifying the broadcast timbre comprises the steps of: the environment information includes a size S of the detection space and a size L of the regional air flow rate.
7. The method of claim 6, wherein the method further comprises: obtaining the environmental audio by the following formula
Where f is frequency, theta is theoretical audio frequency, T is period, lambda is wavelength, S is size of detection space, L is size of zone air flow velocity,
Is ambient audio.
8. A system for modifying the timbre of a broadcast, the system comprising: comprises the steps of (a) preparing a substrate,
the grabbing analysis module (100) is used for grabbing and analyzing the acoustic wave characteristic information;
the input module (200) is connected with the grabbing analysis module (100) and is used for inputting the sound wave characteristic information;
the correction module (300) is connected with the input module (200) and is used for correcting the sound wave characteristic information to acquire theoretical audio theta;
the matching module (400) is connected with the correction module (300), receives the theoretical audio theta, matches corresponding environment information and obtains environment audio
A central control module (500) connected with the matching module (400) for extracting the environmental audio
And broadcast is performed.
9. The system for modifying the timbre of a broadcast as claimed in claim 8, wherein: the correction module (300) comprises,
the preprocessing unit is used for carrying out noise reduction preprocessing on the input sound wave characteristic information;
the building unit is used for building a neural network model and training and learning through the built neural network model;
the calculation unit is used for calculating a training learning standard threshold matched with the training parameters and calculating theoretical audio theta;
and the judging unit is used for judging whether the preprocessed sound wave characteristic information reaches the standard or not.
10. A system for modifying the timbre of a broadcast as claimed in claim 9, wherein: the matching module (400) comprises a matching module,
a receiving unit, configured to receive the theoretical audio θ;
an acquisition unit for acquiring the environmental information and acquiring the environmental audio through the environmental information
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109558512A (en) * | 2019-01-24 | 2019-04-02 | 广州荔支网络技术有限公司 | A kind of personalized recommendation method based on audio, device and mobile terminal |
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