WO2019001158A1

WO2019001158A1 - Method and apparatus for determining position of loudspeaker, and loudspeaker

Info

Publication number: WO2019001158A1
Application number: PCT/CN2018/086849
Authority: WO
Inventors: 王备; 王新闯; 刘嘉禾
Original assignee: 歌尔丹拿音响有限公司
Priority date: 2017-06-30
Filing date: 2018-05-15
Publication date: 2019-01-03
Also published as: CN107484069A; CN107484069B

Abstract

Disclosed are a method and apparatus for determining the position of a loudspeaker, and a loudspeaker. The method comprises: acquiring new frequency response data measured when a loudspeaker is at the current position, wherein the frequency response data relates to an amplitude frequency response measured when the loudspeaker plays audio data at the current position; respectively carrying out a matching operation on the new frequency response data and pre-established position models of the loudspeaker at different positions, so as to obtain a plurality of matching results; and determining, according to the plurality of matching results, the current position of the loudspeaker. According to one embodiment of the present invention, the automatic determination of the position of a loudspeaker is realized.

Description

Method and device for determining the position of the speaker, speaker

Technical field

The present invention relates to the field of audio signal processing technologies, and in particular, to a method and apparatus for determining a location of a speaker, and a speaker.

Background technique

When the speaker is in different positions in the room, the acoustic radiation characteristics will change due to the distance to the surrounding reflecting surface, which will affect the user's listening experience. Therefore, it is necessary to perform specific equalization processing on the played audio for the position of the speaker. Before the audio being played is equalized, it is necessary to know where the speaker is currently located. According to the distance from the speaker to the reflecting surface and the number of reflecting surfaces, the position of the speaker can be divided into three categories: "free", "wall side" and "wall corner". For these three different types of locations, the equalization process can be targeted. In order to automatically determine the location of the speaker, a common method is to install a microphone on the speaker system, and measure the frequency response of the loudspeaker-empty room-microphone (LEM system) while the audio data is being played by the speaker. . Based on the frequency response, the current position of the speaker can be derived.

At present, the common algorithm for estimating the position of the speaker according to the frequency response of the LEM system is based on the ratio of the low frequency response to the intermediate frequency response. The theoretical assumption is that the low frequency response is greatly affected by the distance of the reflecting surface, and the intermediate frequency response is independent of the position of the speaker in the room. . However, this method does not work well in practical applications. The reason is that the variation of the IF response is found to be large and fluctuating in the actual measurement, resulting in a higher error rate of judgment of the position of the speaker. Another method is to use only the low frequency response as the basis for judging the position of the speaker in the room. The specific algorithm is to weight the average frequency response corresponding to several frequency points of the low frequency response, and set an appropriate threshold to distinguish three different positions. Although this method avoids the problem of unstable intermediate frequency response, the setting of its weight coefficient and the selection of threshold value lack a strong theoretical basis, and it can only be adjusted by continuous trial and error, which is time-consuming and laborious.

Summary of the invention

It is an object of the present invention to provide a new technical solution for a method of determining the position of a loudspeaker.

According to a first aspect of the present invention, there is provided a method of determining a location of a speaker, comprising:

Obtaining new frequency response data measured when the speaker is in a current position, wherein the frequency response data is a measured amplitude frequency response when the speaker is playing audio data at a current position;

Performing matching operations on the new frequency response data and the position model when the speaker is located at a different position in advance, to obtain a plurality of matching results;

Determining a current location at which the speaker is located based on the plurality of matching results.

Preferably, before the matching of the new frequency response data with the pre-established position of the speaker, the position model is matched to obtain a plurality of matching results, and further includes:

Obtaining a plurality of frequency response data measured when the speaker is located at different positions;

According to a plurality of frequency response data corresponding to different positions, the position models corresponding to different positions are trained.

Preferably, the position model includes a position model parameter,

The position model corresponding to the different positions is a Gaussian model.

The position model parameters include an average value of amplitude frequency responses corresponding to different frequencies at different positions and a variance of amplitude frequency responses corresponding to different frequencies at different positions.

Preferably, the new frequency response data is matched with the position model of the pre-established speaker at different positions to obtain a plurality of matching results, including:

Calculating, according to the Gaussian model probability density function, the probability that the new frequency response data corresponds to different positions by using the position model parameter corresponding to the different position and the new frequency response data;

Generating the plurality of matching results by the probability that the new frequency response data corresponds to different locations.

Preferably, determining a current location where the speaker is located according to the multiple matching results includes:

Selecting, from the plurality of matching results, a position with the highest degree of matching with the new frequency response data as a current location where the speaker is located; or

The plurality of matching results are mixed, and the position corresponding to the matching result after the mixing operation is taken as the current position where the speaker is located.

Preferably, the different locations include: a free position, a wall edge location, and a corner location.

According to a second aspect of the present invention, there is provided a device for determining a position of a speaker, comprising:

An acquiring module, configured to acquire new frequency response data measured when the speaker is in a current position, where the frequency response data is a measured amplitude frequency response when the speaker is playing audio data at a current position;

a matching module, configured to perform matching operations on the new frequency response data and the position model when the pre-established speaker is located at different positions, to obtain a plurality of matching results;

And a determining module, configured to determine a current location where the speaker is located according to the plurality of matching results.

Preferably, the position model includes a position model parameter,

Preferably, the matching module is further configured to:

According to a third aspect of the present invention, there is provided apparatus for determining a position of a speaker, comprising a memory and a processor, the memory for storing an instruction for controlling the processor to operate to perform the above-described A method of determining the location of the speaker as described.

According to a fourth aspect of the invention, there is provided a loudspeaker comprising determining means for the position of the loudspeaker as described above.

According to the method and device for determining the position of the speaker provided by the present invention, the new frequency response data is measured and matched with the position model corresponding to the different position when the speaker is at the current position, and the current position of the speaker is determined according to the matching result. The position enables automatic determination of the position of the loudspeaker. In addition, the method provided by the present invention improves the accuracy and fineness of the position determination of the speaker.

Other features and advantages of the present invention will become apparent from the Detailed Description of the <RTIgt;

DRAWINGS

The accompanying drawings, which are incorporated in FIG

1 shows a flow chart of a method of determining the position of a speaker in accordance with one embodiment of the present invention.

2 is a schematic diagram showing a method of determining the position of a speaker according to another embodiment of the present invention.

FIG. 3 shows a line graph corresponding to frequency response data obtained by testing according to an embodiment of the present invention.

4 is a schematic diagram showing the training of a position model corresponding to different positions according to an embodiment of the present invention.

FIG. 5 is a flow chart showing the processing of new frequency response data according to an embodiment of the present invention.

Fig. 6 is a block diagram showing the structure of a determining device for a position of a speaker according to an embodiment of the present invention.

Fig. 7 is a diagram showing the hardware configuration of a determining device for the position of a speaker according to an embodiment of the present invention.

Fig. 8 is a block diagram showing the structure of a speaker according to an embodiment of the present invention.

Detailed ways

Various exemplary embodiments of the present invention will now be described in detail with reference to the drawings. It should be noted that the relative arrangement of the components and steps, numerical expressions and numerical values set forth in the embodiments are not intended to limit the scope of the invention.

The following description of the at least one exemplary embodiment is merely illustrative and is in no way

Techniques, methods, and devices known to those of ordinary skill in the relevant art may not be discussed in detail, but where appropriate, the techniques, methods, and devices should be considered as part of the specification.

In all of the examples shown and discussed herein, any specific values are to be construed as illustrative only and not as a limitation. Thus, other examples of the exemplary embodiments may have different values.

It should be noted that similar reference numerals and letters indicate similar items in the following figures, and therefore, once an item is defined in one figure, it is not required to be further discussed in the subsequent figures.

One embodiment of the present invention provides a method of determining the location of a speaker. 1 is a process flow diagram showing a method of determining the position of a speaker in accordance with one embodiment of the present invention. Referring to FIG. 1, the method includes at least steps S101 to S103.

Step S101: Obtain new frequency response data measured when the speaker is in the current position.

In one embodiment of the invention, the frequency response data is the measured amplitude frequency response when the speaker is playing audio data at the current location.

Specifically, the frequency response data can be tested according to the following test method: a microphone is installed in the speaker test system to form a "speaker-room-microphone" test system; when the speaker plays audio data, the audio signal collected by the microphone is recorded; The original audio signal played on the speaker side and the audio signal recorded by the microphone are analyzed to obtain the amplitude frequency response when the speaker is in the position.

It should be noted that the audio data may be music, or may be a voice in the video, or may be another audio file, or an audio stream, which is not limited by the present invention.

Step S102, performing matching operations on the new frequency response data and the position model when the pre-established speakers are located at different positions, to obtain a plurality of matching results.

It should be noted that, in the embodiment of the present invention, the position of the speaker can be pre-divided into a free position, a wall edge position, and a wall position. For example, in a rectangular hall, if the speaker is in the center of the hall, the current position of the speaker can be considered to be a free position. If the speaker is located on a wall in the hall, the current position of the speaker can be considered to be the wall position. If the speaker is located at the intersection of the two walls of the hall, the current position of the speaker can be considered to be the corner position.

It should be noted that the position of the speaker can also be divided into other types. The division and division type of the position of the speaker in the present invention are not limited. The focus of the present invention is not on the determination and division of the speaker position type, but in which of the several positions that have been divided, it is determined which of the pre-divided positions is the current position of the speaker. Therefore, in the embodiment of the present invention, after the position where the speaker may exist is set in advance, the current position of the speaker is determined in the position where it may exist. In the embodiment of the present invention, the position of the speaker is previously divided into a free position, a wall edge position, and a wall position as an example for description.

Specifically, the position of the speaker is divided into a free position, a wall edge position, and a wall position. Accordingly, the pre-established position model includes a position model at a free position, a position model at a wall edge position, and a position model at a corner position.

After acquiring the new frequency response parameter, the new frequency response data is matched with the position model corresponding to the pre-built different position. The new frequency response data is matched with the position model at the free position, the new frequency response data is matched with the position model at the wall position, and the new frequency response data is matched with the position model at the corner position. Operate to get multiple matching results.

Step S103, determining a current location where the speaker is located according to the plurality of matching results.

In one embodiment of the present invention, the position with the highest degree of matching with the new frequency response data is selected from the matching results as the current position at which the speaker is located.

Further, in an embodiment of the present invention, before the new frequency response data is matched with the position model of the pre-established speaker at different positions, before the plurality of matching results are obtained, as shown in FIG. 2, the speaker station The method for determining the location also includes:

Step S104: Acquire a plurality of frequency response data measured when the speakers are located at different positions.

Step S105: Train the location models corresponding to different locations according to the plurality of frequency response data corresponding to the different locations.

It should be noted that the execution order of the above steps S104 and S105 may be before the above step S101, or the execution order of the above steps S104 and S105 may also be after the above step S101 and before step S102, the present invention There are no restrictions. Only one case is shown in the illustration.

In one embodiment of the invention, the plurality of frequency response data referred to above is of a big data level. Specifically, a plurality of frequency response data corresponding to the free position, a large amount of frequency response data corresponding to the wall position, and a large amount of frequency response data corresponding to the corner position are acquired.

FIG. 3 shows a line graph corresponding to frequency response data obtained by testing according to an embodiment of the present invention. The abscissa of the line graph represents the frequency in Hz and the frequency range is 40-80 Hz. The ordinate of the line graph represents the amplitude frequency response in dB.

Figure 3 shows three broken lines. The first broken line corresponds to the frequency response data measured when the position of the speaker corresponds to the free position, and the second broken line corresponds to the measured frequency when the position of the speaker corresponds to the position of the wall. In response to the data, the third fold line corresponds to the frequency response data measured when the position of the speaker corresponds to the corner position. The frequency response data corresponding to the three positions shown in FIG. 3 is merely an example, and the present invention is not limited at all.

In an embodiment of the present invention, after obtaining a large number of frequency response data corresponding to different positions, according to a large number of frequency response data corresponding to different positions, a position model corresponding to different positions is trained, and each position model includes a corresponding position model parameter. .

Further, in one embodiment of the invention, the location model includes location model parameters. The position model involved in the embodiment of the present invention is a Gaussian model, and the position model parameters include an average value of amplitude frequency responses corresponding to different frequencies at different positions and a variance of amplitude frequency responses corresponding to different frequencies at different positions.

4 is a schematic diagram showing the training of a position model corresponding to different positions according to an embodiment of the present invention. Referring to FIG. 4, the training of the frequency response data of the embodiment of the present invention will be described by taking a large number of frequency response data corresponding to the above three types of positions as an example.

Referring to FIG. 4, after obtaining a large number of frequency response data corresponding to the free position, a large amount of frequency response data corresponding to the wall position, and a large number of frequency response data corresponding to the corner position, data processing is performed on the frequency response data corresponding to the three types of positions respectively. The average value of the amplitude frequency response corresponding to different frequencies under various positions and the variance of the amplitude frequency response corresponding to different frequencies under various positions are calculated. That is, for each position, the average value of the amplitude frequency response corresponding to the different frequencies and the variance of the amplitude frequency response corresponding to the different frequencies are calculated. Calculating the average value μ(f) of the amplitude frequency response corresponding to different frequencies at various positions based on the following formula (1),

Where f is the frequency, i is the sample number of a large number of frequency response data at a specific position acquired, N is the total number of samples, and Y _i (f) is the amplitude frequency response corresponding to the ith sample at frequency f.

Calculating the variance V(f) of the amplitude frequency response corresponding to different frequencies under various types of positions based on the following formula (2),

Where i is the sample number of a large number of frequency response data at a specific location, N is the total number of samples, Y _i (f) is the amplitude frequency response of the ith sample at frequency f, and μ(f) is the frequency The average of the amplitude frequency response at f.

Referring to FIG. 4, after calculating the average value of the amplitude frequency response corresponding to different frequencies under various types of positions and the variance of the amplitude frequency response corresponding to different frequencies at various positions, the Gaussian model corresponding to each position can be obtained, that is, free The Gaussian model corresponding to the position, the Gaussian model corresponding to the position of the wall edge, and the Gaussian model corresponding to the position of the corner.

FIG. 5 is a flow chart showing the processing of new frequency response data according to an embodiment of the present invention. Referring to FIG. 5, first, the new frequency response data measured when the speaker is at the current position is obtained, and then the new frequency response data is respectively substituted into the position models corresponding to the various types of positions obtained above, and the positions corresponding to the various positions respectively. The model performs a matching operation to obtain a plurality of matching results. Finally, the current position of the speaker is obtained according to the plurality of matching results, and the current position of the speaker is output.

In one embodiment of the present invention, based on the Gaussian model probability density function, the probability of different locations corresponding to the new frequency response data is calculated using the position model parameters corresponding to the different positions and the new frequency response data.

Further, the probability that the new frequency response data corresponds to different positions can be calculated based on the following calculation formula (3).

Where j is the position type, μ _j is the vector corresponding to the average value of the amplitude frequency response corresponding to different frequencies in the position type j, and V _j is the diagonal matrix corresponding to the variance of the amplitude frequency response corresponding to the different frequencies in the position type j, D is the vector length and x is the vector corresponding to the new frequency response data.

Taking the j as a free position as an example, the above calculation formula (3) will be described. The average value μ(f) of the amplitude frequency responses corresponding to the 13 different frequencies shown in FIG. 3 is calculated according to the calculation formula (1), and μ(f) represents the average value of the amplitude frequency responses when the frequency is f at the free position. Specifically, μ(f) is μ(40), μ(42), μ(45), μ(48), μ(50), μ(53), μ(57), μ(60), μ( 63), μ (67), μ (71), μ (76), and μ (80). The calculated μ(40), μ(42), μ(45), μ(48), μ(50), μ(53), μ(57), μ(60), μ(63), μ (67), μ(71), μ(76), and μ(80) form a 13*1 column vector, which is μ _j . Correspondingly, the vector length D is 13; the vector x corresponding to the new frequency response data is a 13*1 column vector composed of amplitude frequency responses corresponding to 13 different frequencies.

The variance V(f) of the amplitude frequency response corresponding to the 13 different frequencies shown in FIG. 3 is calculated according to the calculation formula (2), and V(f) represents the variance of the amplitude frequency response when the frequency is f at the free position. Specifically, V(f) is μ(40), V(42), V(45), V(48), V(50), V(53), V(57), V(60), V( 63), V (67), V (71), V (76), V (80). Calculated V(40), V(42), V(45), V(48), V(50), V(53), V(57), V(60), V(63), V (67), V(71), V(76), V(80) form a diagonal matrix of 13*13, and the elements on the diagonal of the diagonal matrix correspond to V(40), V(42 ), V(45), V(48), V(50), V(53), V(57), V(60), V(63), V(67), V(71), V(76 ), V(80), the diagonal matrix is V _j .

Specifically, the vector corresponding to the new frequency response data is substituted into the Gaussian model probability density function corresponding to the free position, the Gaussian model probability density function corresponding to the wall edge position, and the Gaussian model probability density function corresponding to the wall position, and the new frequency is calculated. The response data corresponds to the probability of different location classes. Further, the current position of the speaker is determined according to the probability that the new frequency response data corresponds to different positions.

It should be noted that, in the above calculation formula (3), x is a vector composed of amplitude frequency responses corresponding to different frequencies in the new frequency response data, and elements on the diagonal line in V _j correspond to different position types j. The amplitude corresponds to the frequency response, exp is an exponential function with e as the base, and H is the conjugate transpose.

In one embodiment of the present invention, the position with the highest degree of matching with the new frequency response data is selected from the matching results as the current position at which the speaker is located. For example, the probability that the new frequency response data corresponds to different positions is calculated by using the above calculation formula (3), that is, the probability that the new frequency response data corresponds to the free position is 80%, and the probability that the new frequency response data corresponds to the wall position is 15%, the probability of the new frequency response data corresponding to the corner position is 5%, and then determine that the current position of the speaker is a free position.

In an embodiment of the present invention, when at least two of the plurality of matching results have the same degree of matching with the new frequency response data and the highest matching degree with the new frequency response data, the at least two locations are corresponding to each other. The mixed position is the current position where the speaker is located. Taking the above three positions as an example, the calculated matching result is that the new frequency response data has the same degree of matching with the wall position model and the wall position model, and both match the new frequency response data to the highest degree. The current position of the speaker corresponds to the mixed position of the wall position and the corner position.

It should be noted that, in one embodiment of the present invention, the probability of each position may be directly fed back, instead of directly using the position with the highest probability as the current position of the speaker as a feedback result. This will make the equalization of the speaker more accurate.

In an embodiment of the present invention, a location model corresponding to different locations is trained according to a plurality of frequency response data corresponding to different locations. Then, the frequency response data corresponding to the known position is input to the position model corresponding to the different position to perform a matching operation, and a plurality of matching results are obtained. Then, according to the plurality of matching results, the current position of the speaker is obtained, and the current position where the obtained speaker is located is compared with the known position. Finally, based on the comparison results, the accuracy of the position model obtained by the training is determined.

Based on the same inventive concept, the present invention provides a determining device for the position of the speaker. Fig. 6 is a block diagram showing the structure of a determining device for a position of a speaker according to an embodiment of the present invention. Referring to FIG. 6, the apparatus at least includes: an obtaining module 610, configured to acquire new frequency response data measured when the speaker is in a current position, wherein the frequency response data is a measured amplitude frequency when the speaker is playing audio data at a current position. response.

The matching module 620 is configured to perform matching operation on the position model when the new frequency response data is respectively different from the position where the pre-established speaker is located, to obtain a plurality of matching results.

The determining module 630 is configured to determine a current location where the speaker is located according to the plurality of matching results.

In one embodiment of the invention, the position model includes position model parameters. The position model corresponding to different positions is a Gaussian model. At this time, the position model parameters include the average value of the amplitude frequency response corresponding to different frequencies at different positions and the variance of the amplitude frequency response corresponding to different frequencies. Calculating an average value of the amplitude frequency responses corresponding to different frequencies at different positions based on the calculation formula (1) in the above method embodiment; and calculating the equations (2) in the above method embodiments, and calculating the positions at different positions The variance of the amplitude frequency response corresponding to different frequencies. I will not repeat them here.

In an embodiment of the present invention, the matching module 620 is specifically configured to calculate, according to a Gaussian model probability density function, a position probability parameter corresponding to different positions and a new frequency response data, and calculate a probability that the new frequency response data corresponds to different positions; A plurality of matching results are generated by the probability that the new frequency response data corresponds to different locations.

Specifically, based on the calculation formula (3) in the foregoing method embodiment, the probability that the new frequency response data corresponds to different positions may be calculated. I will not repeat them here.

Based on the same inventive concept, the present invention also provides another determining device for the position of the speaker. Fig. 7 is a diagram showing the hardware configuration of a determining device for the position of a speaker according to an embodiment of the present invention.

Referring to FIG. 7, in this embodiment, the determining means of the location of the speaker may include a memory 720 and a processor 710 for storing instructions for controlling the processor 710 to operate to perform the present invention. The method of determining the location of the speaker.

The memory 720 can include high speed random access memory and can also include non-volatile memory such as one or more magnetic storage devices, flash memory, or other non-volatile solid state memory.

Based on the same inventive concept, the present invention provides a speaker. Fig. 8 is a block diagram showing the structure of a speaker according to an embodiment of the present invention. Referring to Figure 8, the speaker 800 includes determining means 810 for the position of the speaker as described above.

The invention can be a system, method and/or computer program product. The computer program product can comprise a computer readable storage medium having computer readable program instructions embodied thereon for causing a processor to implement various aspects of the present invention.

The computer readable storage medium can be a tangible device that can hold and store the instructions used by the instruction execution device. The computer readable storage medium can be, for example, but not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples (non-exhaustive list) of computer readable storage media include: portable computer disks, hard disks, random access memory (RAM), read only memory (ROM), erasable programmable read only memory (EPROM) Or flash memory), static random access memory (SRAM), portable compact disk read only memory (CD-ROM), digital versatile disk (DVD), memory stick, floppy disk, mechanical encoding device, for example, with instructions stored thereon A raised structure in the hole card or groove, and any suitable combination of the above. A computer readable storage medium as used herein is not to be interpreted as a transient signal itself, such as a radio wave or other freely propagating electromagnetic wave, an electromagnetic wave propagating through a waveguide or other transmission medium (eg, a light pulse through a fiber optic cable), or through a wire The electrical signal transmitted.

The computer readable program instructions described herein can be downloaded from a computer readable storage medium to various computing/processing devices or downloaded to an external computer or external storage device over a network, such as the Internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmissions, wireless transmissions, routers, firewalls, switches, gateway computers, and/or edge servers. A network adapter card or network interface in each computing/processing device receives computer readable program instructions from the network and forwards the computer readable program instructions for storage in a computer readable storage medium in each computing/processing device .

Computer program instructions for performing the operations of the present invention may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine related instructions, microcode, firmware instructions, state setting data, or in one or more programming languages. Source code or object code written in any combination, including object-oriented programming languages such as Smalltalk, C++, etc., as well as conventional procedural programming languages such as the "C" language or similar programming languages. The computer readable program instructions can execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer, partly on the remote computer, or entirely on the remote computer or server. carried out. In the case of a remote computer, the remote computer can be connected to the user's computer through any kind of network, including a local area network (LAN) or wide area network (WAN), or can be connected to an external computer (eg, using an Internet service provider to access the Internet) connection). In some embodiments, the customized electronic circuit, such as a programmable logic circuit, a field programmable gate array (FPGA), or a programmable logic array (PLA), can be customized by utilizing state information of computer readable program instructions. Computer readable program instructions are executed to implement various aspects of the present invention.

Aspects of the present invention are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus, and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowcharts and/or block diagrams can be implemented by computer readable program instructions.

The computer readable program instructions can be provided to a general purpose computer, a special purpose computer, or a processor of other programmable data processing apparatus to produce a machine such that when executed by a processor of a computer or other programmable data processing apparatus Means for implementing the functions/acts specified in one or more of the blocks of the flowcharts and/or block diagrams. The computer readable program instructions can also be stored in a computer readable storage medium that causes the computer, programmable data processing device, and/or other device to operate in a particular manner, such that the computer readable medium storing the instructions includes An article of manufacture that includes instructions for implementing various aspects of the functions/acts recited in one or more of the flowcharts.

The computer readable program instructions can also be loaded onto a computer, other programmable data processing device, or other device to perform a series of operational steps on a computer, other programmable data processing device or other device to produce a computer-implemented process. Thus, instructions executed on a computer, other programmable data processing apparatus, or other device implement the functions/acts recited in one or more of the flowcharts and/or block diagrams.

The flowchart and block diagrams in the Figures illustrate the architecture, functionality and operation of possible implementations of systems, methods and computer program products according to various embodiments of the invention. In this regard, each block of the flowchart or block diagram can represent a module, a program segment, or a portion of an instruction, and a module, a program segment, or a portion of an instruction includes one or more executables for implementing the specified logical function. instruction. In some alternative implementations, the functions noted in the blocks may also occur in a different order than those illustrated in the drawings. For example, two consecutive blocks may be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending upon the functionality involved. It is also noted that each block of the block diagrams and/or flowcharts, and combinations of blocks in the block diagrams and/or flowcharts, can be implemented in a dedicated hardware-based system that performs the specified function or action. Or it can be implemented by a combination of dedicated hardware and computer instructions. It is well known to those skilled in the art that implementation by hardware, implementation by software, and implementation by a combination of software and hardware are equivalent.

The embodiments of the present invention have been described above, and the foregoing description is illustrative, not limiting, and not limited to the disclosed embodiments. Numerous modifications and changes will be apparent to those skilled in the art without departing from the scope of the invention. The choice of terms used herein is intended to best explain the principles, practical applications, or technical improvements in the various embodiments of the embodiments, or to enable those of ordinary skill in the art to understand the embodiments disclosed herein. The scope of the invention is defined by the appended claims.

Claims

A method for determining a position of a speaker, comprising:

Obtaining new frequency response data measured when the speaker is in a current position, wherein the frequency response data is a measured amplitude frequency response when the speaker is playing audio data at a current position;

Performing matching operations on the new frequency response data and the position model when the speaker is located at a different position in advance, to obtain a plurality of matching results;

Determining a current location at which the speaker is located based on the plurality of matching results.
The method according to claim 1, wherein a matching operation is performed on the position model when the new frequency response data is respectively located at a different position from the pre-established speaker, to obtain a plurality of matching results, further including :

Obtaining a plurality of frequency response data measured when the speaker is located at different positions;

According to a plurality of frequency response data corresponding to different positions, the position models corresponding to different positions are trained.
The method according to claim 1 or 2, wherein the position model comprises a position model parameter,

The position model corresponding to the different positions is a Gaussian model.

The position model parameters include an average value of amplitude frequency responses corresponding to different frequencies at different positions and a variance of amplitude frequency responses corresponding to different frequencies at different positions.
The method according to any one of claims 1 to 3, wherein the new frequency response data is matched with a position model of the pre-established speaker at different positions to obtain a plurality of matching results. ,include:

Calculating, according to the Gaussian model probability density function, the probability that the new frequency response data corresponds to different positions by using the position model parameter corresponding to the different position and the new frequency response data;

Generating the plurality of matching results by the probability that the new frequency response data corresponds to different locations.
The method according to any one of claims 1 to 4, wherein determining the current location of the speaker based on the plurality of matching results comprises:

A position with the highest degree of matching with the new frequency response data is selected from the plurality of matching results as a current position at which the speaker is located.
A method according to any one of claims 1 to 5, wherein the different locations comprise: a free position, a wall edge position and a corner position.
A device for determining a position of a speaker, comprising:

An acquiring module, configured to acquire new frequency response data measured when the speaker is in a current position, where the frequency response data is a measured amplitude frequency response when the speaker is playing audio data at a current position;

a matching module, configured to perform matching operations on the new frequency response data and the position model when the pre-established speaker is located at different positions, to obtain a plurality of matching results;

And a determining module, configured to determine a current location where the speaker is located according to the plurality of matching results.
The apparatus of claim 7 wherein said position model comprises position model parameters,

The position model corresponding to the different positions is a Gaussian model.

The position model parameters include an average value of amplitude frequency responses corresponding to different frequencies at different positions and a variance of amplitude frequency responses corresponding to different frequencies at different positions.
The device according to claim 7 or 8, wherein the matching module is further configured to:

Calculating, according to the Gaussian model probability density function, the probability that the new frequency response data corresponds to different positions by using the position model parameter corresponding to the different position and the new frequency response data;

Generating the plurality of matching results by the probability that the new frequency response data corresponds to different locations.
A determining device for a position of a speaker, comprising: a memory for storing instructions for controlling the processor to perform the operation according to any one of claims 1 to 6 A method of determining the location of the speaker as described.
A speaker characterized by comprising determining means for the position of the speaker according to any of claims 7-9.