CN112393799A - Far-field voice equipment detection method and device and television terminal - Google Patents
Far-field voice equipment detection method and device and television terminal Download PDFInfo
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Abstract
The application relates to the technical field of intelligent equipment and discloses a far-field voice equipment detection method. The method comprises the following steps: sampling the audio signal with preset frequency through far-field voice equipment to obtain a sampling volume value corresponding to each unit sampling time; carrying out digital processing on each sampling volume value to obtain a corresponding average decibel value; and determining that the far-field voice equipment is qualified under the condition that the average decibel value is within a set decibel range. Therefore, the method and the device realize automatic detection of the far-field voice equipment, improve the detection intelligence of the far-field voice equipment and reduce the consumption of manpower and material resources. The application also discloses a far-field voice device detection device and an intelligent television.
Description
Technical Field
The application relates to the technical field of intelligent terminals, for example, to a far-field voice device detection method and device and a television terminal.
Background
At present, with the development of artificial intelligence technology, television terminals are also more and more intelligent. Televisions are not just video playback only, but may have a variety of applications, such as: information retrieval, games, and the like. Many applications on television require human-computer interaction, such as: voice interaction, so far-field voice equipment is generally built in a television, for example: the built-in far-field voice equipment of the far-field microphone is a built-in functional module of the television and is integrated with the television. In factory production, whether the equipment is normal or not needs to be detected, and whether the requirement can be met or not needs to be detected.
At present, simple sound detection can be carried out manually, but the method is not only time-consuming, but also not accurate enough, and the detection standard is difficult to unify.
Disclosure of Invention
The following presents a simplified summary in order to provide a basic understanding of some aspects of the disclosed embodiments. This summary is not an extensive overview nor is intended to identify key/critical elements or to delineate the scope of such embodiments but rather as a prelude to the more detailed description that is presented later.
The embodiment of the disclosure provides a far-field voice device detection method and device and a television terminal, and aims to solve the technical problem that the automation for detecting far-field voice devices is not high.
In some embodiments, the method comprises:
sampling the audio signal with preset frequency through far-field voice equipment to obtain a sampling volume value corresponding to each unit sampling time;
carrying out digital processing on each sampling volume value to obtain a corresponding average decibel value;
and determining that the far-field voice equipment is qualified under the condition that the average decibel value is within a set decibel range.
In some embodiments, the apparatus comprises:
the acquisition module is configured to sample an audio signal with a preset frequency through far-field voice equipment to obtain a sampling volume value corresponding to each unit sampling time;
the processing module is configured to carry out digital processing on each sampling volume value to obtain a corresponding average decibel value;
a detection module configured to determine that the far-field speech device is qualified if the average decibel value is within a set decibel range.
In some embodiments, the apparatus comprises: a processor and a memory storing program instructions, the processor being configured to, upon execution of the program instructions, perform the far-field speech device detection method described above
In some embodiments, the television terminal comprises: the far-field voice equipment detection device comprises the far-field voice equipment detection device.
The method, the device and the television terminal for detecting the far-field voice equipment provided by the embodiment of the disclosure can realize the following technical effects:
the sampling signal of the audio signal with the preset frequency can be acquired through the far-field voice equipment, and the qualification of the far-field voice equipment can be determined under the condition that the average decibel value corresponding to the sampling signal meets the set condition, so that the automatic detection of the far-field voice equipment is realized, the detection intelligence of the far-field voice equipment is improved, the consumption of manpower and material resources is reduced, the detection accuracy is also improved through the automatic detection, and the probability of missing detection and error detection caused by human factors is reduced.
The foregoing general description and the following description are exemplary and explanatory only and are not restrictive of the application.
Drawings
One or more embodiments are illustrated by way of example in the accompanying drawings, which correspond to the accompanying drawings and not in limitation thereof, in which elements having the same reference numeral designations are shown as like elements and not in limitation thereof, and wherein:
FIG. 1 is a schematic flow chart of a far-field speech device detection method according to an embodiment of the present disclosure;
FIG. 2 is a schematic flow chart illustrating a method for detecting far-field speech devices according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of a far-field speech device detection apparatus provided in an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of a far-field speech device detection apparatus provided in an embodiment of the present disclosure
Fig. 5 is a schematic structural diagram of a far-field speech device detection apparatus provided in an embodiment of the present disclosure.
Detailed Description
So that the manner in which the features and elements of the disclosed embodiments can be understood in detail, a more particular description of the disclosed embodiments, briefly summarized above, may be had by reference to the embodiments, some of which are illustrated in the appended drawings. In the following description of the technology, for purposes of explanation, numerous details are set forth in order to provide a thorough understanding of the disclosed embodiments. However, one or more embodiments may be practiced without these details. In other instances, well-known structures and devices may be shown in simplified form in order to simplify the drawing.
In the embodiment of the disclosure, the sampling signal of the audio signal with the preset frequency can be acquired through the far-field speech device, and the qualification of the far-field speech device can be determined under the condition that the average decibel value corresponding to the sampling signal meets the set condition, so that the automatic detection of the far-field speech device is realized.
Fig. 1 is a schematic flow chart of a far-field speech device detection method in an embodiment of the present disclosure. As shown in fig. 1, the process of far-field speech device detection may include:
step 101: and sampling the audio signal with preset frequency through far-field voice equipment to obtain a sampling volume value corresponding to each unit sampling time.
Television terminals, which acquire other multimedia playing devices, have multiple applications, and therefore far-field speech devices are built in these devices, for example: far-field microphone. Therefore, in the production process of the television terminal or other multimedia playing devices, the functional hardware needs to be retrieved to ensure that the corresponding functional hardware is qualified, and the far-field voice device is the built-in functional hardware and needs to be correspondingly detected.
Far-field speech devices are energy conversion devices that can convert acoustic signals into electrical signals. Therefore, through far-field speech equipment, sound signals can be collected and converted into electric signals. Here, the audio signal with the preset frequency may be sampled by a far-field speech device, so as to obtain a sampling volume value corresponding to each unit sampling time. In some embodiments, the audio signal of the preset frequency may be sampled by the far-field speech device with a preset sound sampling rate, and then the maximum volume value per unit sampling time is determined as the sampled volume value.
For example: the audio signal of the preset frequency is an audio signal of 1khz, and the preset sound sampling rate may be a sound sampling rate of 48k, so that the built-in far-field microphone employs the sound sampling rate of 48k by capturing the audio signal of 1khz, and then, the maximum volume value in each unit sampling time is taken as the peak value of the positive acoustic wave of the audio signal, that is, determined as the sampled volume value.
Step 102: and carrying out digital processing on each sampling volume value to obtain a corresponding average decibel value.
The far-field speech device can convert the sound signal into an electrical signal, which is generally an analog electrical signal, and therefore, digital processing is required, i.e., a sampled volume value needs to be digitally processed to obtain a corresponding average decibel value.
In some embodiments, the process of digitizing may include: carrying out pulse code modulation on each sampling volume value to obtain a corresponding digital sampling volume value; and summing and averaging the volume values of all the digital samples to obtain an average volume value, and converting the average volume value into an average decibel value.
Step 103: and determining that the far-field voice equipment is qualified under the condition that the average decibel value is within the set decibel range.
The far-field voice equipment can preset and store the decibel range by corresponding the collected audio signals with different frequencies to a qualified decibel range, so that the far-field voice equipment is determined to be qualified if the average decibel value is in the set decibel range.
The corresponding decibel ranges of the audio signals with different frequencies are different, so that the corresponding relation between the frequency of the audio signal and the set decibel range can be stored in advance, the set decibel range corresponding to the frequency of the sampled audio signal can be determined according to the stored corresponding relation, and the far-field voice equipment is determined to be qualified under the condition that the average decibel value is within the set decibel range.
Therefore, in the embodiment of the disclosure, the sampling signal of the audio signal with the preset frequency can be obtained through the far-field speech device, and the qualification of the far-field speech device can be determined under the condition that the average decibel value corresponding to the sampling signal meets the set condition, so that the automatic detection of the far-field speech device is realized, the detection intelligence of the far-field speech device is improved, the consumption of manpower and material resources is reduced, the detection accuracy is also improved through the automatic detection, and the probability of missing detection and false detection caused by human factors is reduced.
In the production process of a television terminal or other multimedia playing devices, batch production is generally performed, and if the average decibel value corresponding to each far-field voice device is within a set decibel range in the batch production process, however, the difference between the average decibel values corresponding to the batch of far-field voice devices is large, and some difference are small, i.e., the difference can exceed the set difference range, it indicates that the quality of the batch of far-field voice devices may not be stable, and may not belong to a qualified product, and therefore, in some embodiments, under the condition that the average decibel value is within the set decibel range, the far-field voice devices are determined as candidate far-field voice devices; and determining that each candidate far-field speech device in the same batch is qualified under the condition that the difference value between the average decibel values of each candidate far-field speech device in the same batch is within a set difference value range. Or, in some embodiments, the average decibel value of each candidate far-field speech device in the same batch is averaged again to obtain a batch average decibel value, and if the difference between the average decibel value of the current candidate far-field speech device and the batch average decibel value is within the preset batch difference range, the current candidate far-field speech device is determined to be qualified.
Therefore, each far-field voice device must be a qualified product, and the functional effects of the products in the same batch must be equivalent, so that the far-field voice device can be applied to the television terminals or other multimedia playing devices in the same batch, and the quality of the television terminals or other multimedia playing devices is further improved.
The following operational flow is integrated into a specific embodiment to illustrate the far-field speech device detection process provided by the embodiment of the present invention.
In this embodiment, the audio signal with the predetermined frequency may be a 2khz audio signal, and the predetermined sound sampling rate may be a 48k sound sampling rate. And determining that the set decibel range corresponding to the frequency of the sampled audio signal may be (20db, 32db) according to the correspondence between the stored frequency of the audio signal and the set decibel range. And the set difference range may be (0, 6 db).
Fig. 2 is a schematic flow chart of a far-field speech device detection method in an embodiment of the present disclosure. As shown in fig. 2, the process of far-field speech device detection may include:
step 201: the 2khz audio signal is sampled by a far-field speech device using a 48k sound sampling rate.
Step 202: and determining the maximum volume value in each unit sampling time as a sampling volume value.
Step 203: and performing Pulse Code Modulation (PCM) on each sampling volume value to obtain a corresponding digital sampling volume value.
Step 204: and summing and averaging the volume values of all the digital samples to obtain an average volume value, and converting the average volume value into an average decibel value.
Step 205: is the average decibel value within (20db, 32 db)? If so, go to step 206, otherwise, go to step 209.
Step 206: and determining the far-field voice equipment as candidate far-field voice equipment.
Step 207: determine if the difference between the average decibel value of each of the other candidate far-field speech devices in the same batch is (0, 6 db)? If so, go to step 208, otherwise, go to step 209.
The difference between the average decibel values of each of the candidate far-field speech devices in the same batch is within the set difference range, and therefore, the difference is compared with the average decibel value of each of the other candidate far-field speech devices in the same batch, and when each difference is (0, 6db), step 208 is executed.
Step 208: and determining that the far-field speech equipment is qualified.
And if the average decibel value of the far-field voice equipment is within the set decibel range and the difference value between the average decibel value of the far-field voice equipment and the average decibel value of other candidate far-field voice equipment in the same batch is within the set difference value range, determining that the far-field voice equipment is qualified.
Step 209: and determining that the far-field speech equipment is unqualified.
The average decibel value of the far-field speech equipment is not in the set decibel range, and the hardware is unqualified. Or, the average decibel value of the far-field speech equipment is within the set decibel range, but the difference value between the average decibel value of the far-field speech equipment and the average decibel value of other candidate far-field speech equipment in the same batch is not within the set difference value range, which indicates that the hardware of the far-field speech equipment is different from the products in the same batch, the consistency is poor, and the far-field speech equipment cannot be used in a television terminal or other multimedia playing equipment, so that the far-field speech equipment is determined to be an unqualified product.
Therefore, the sampling signal of the audio signal with the preset frequency can be obtained through the far-field voice equipment, and the qualification of the far-field voice equipment can be determined under the condition that the average decibel value corresponding to the sampling signal meets the set condition, so that the automatic detection of the far-field voice equipment is realized, the detection intelligence of the far-field voice equipment is improved, and the consumption of manpower and material resources is reduced. Moreover, consistency detection can be carried out on products in the same batch, so that the stability of the product quality is further improved.
According to the process of detecting the far-field voice equipment, a device for detecting the far-field voice equipment can be constructed.
Fig. 3 is a schematic structural diagram of a far-field speech device detection apparatus provided in an embodiment of the present disclosure. As shown in fig. 3, the far-field speech device detection apparatus includes: an acquisition module 310, a processing module 320, and a detection module 330.
The obtaining module 310 is configured to sample the audio signal with a preset frequency through a far-field speech device, so as to obtain a sampling volume value corresponding to each unit sampling time.
The processing module 320 is configured to perform digital processing on each sampled volume value to obtain a corresponding average decibel value.
The detection module 330 is configured to determine that the far-field speech device is qualified if the average decibel value is within a set decibel range.
In some embodiments, the obtaining module 310 is specifically configured to sample the audio signal with a preset sound sampling rate; and determining the maximum volume value in each unit sampling time as a sampling volume value.
In some embodiments, the processing module 320 is specifically configured to perform pulse code modulation on each sampled volume value to obtain a corresponding digitized sampled volume value; and summing and averaging the volume values of all the digital samples to obtain an average volume value, and converting the average volume value into an average decibel value.
In some embodiments, the apparatus further comprises:
the batch detection module is specifically configured to determine the far-field speech equipment as candidate far-field speech equipment under the condition that the average decibel value is within a set decibel range; and determining that each candidate far-field speech device in the same batch is qualified under the condition that the difference value between the average decibel values of each candidate far-field speech device in the same batch is within a set difference value range.
The following illustrates an apparatus for detecting far-field speech equipment according to an embodiment of the present invention.
Fig. 4 is a schematic structural diagram of a far-field speech device detection apparatus provided in an embodiment of the present disclosure. As shown in fig. 4, the far-field speech device detection apparatus includes: an acquisition module 310, a processing module 320, a detection module 330, and a batch processing module 340.
With a 48k sound sampling rate, the obtaining module 310 samples the audio signal of 1khz through a far-field speech device built in the television terminal, and determines the maximum volume value in each unit sampling time as a sampling volume value.
Thus, the processing module 320 may perform pulse code modulation PCM on each sampling volume value to obtain a corresponding digital sampling volume value, and sum and average each digital sampling volume value to obtain an average volume value, and convert the average volume value into an average decibel value.
And the set decibel range corresponding to the 1khz frequency of the sampled audio signal may be determined to be (13db, 25db) according to the correspondence between the stored frequency of the audio signal and the set decibel range, so that if the average decibel value is within (13db, 25db), the detection module 330 may determine that the far-field speech device of the television terminal is the candidate far-field speech device.
If the difference between the average db value of the candidate far-field speech device and the average db value of each of the other candidate far-field speech devices in the same batch is within (0db, 6db), the batch detection module 340 may determine that the far-field speech device of the tv terminal is qualified.
Therefore, the sampling signal of the audio signal with the preset frequency can be obtained through the far-field voice equipment, and the qualification of the far-field voice equipment can be determined under the condition that the average decibel value corresponding to the sampling signal meets the set condition, so that the automatic detection of the far-field voice equipment is realized, the detection intelligence of the far-field voice equipment is improved, and the consumption of manpower and material resources is reduced. Moreover, consistency detection can be carried out on products in the same batch, so that the stability of the product quality is further improved.
The embodiment of the present disclosure provides a far-field speech device detection apparatus, whose structure is shown in fig. 5, including:
a processor (processor)100 and a memory (memory)101, and may further include a Communication Interface (Communication Interface)102 and a bus 103. The processor 100, the communication interface 102, and the memory 101 may communicate with each other via a bus 103. The communication interface 102 may be used for information transfer. The processor 100 may invoke logic instructions in the memory 101 to perform the far-field speech device detection method of the above-described embodiment.
In addition, the logic instructions in the memory 101 may be implemented in the form of software functional units and stored in a computer readable storage medium when the logic instructions are sold or used as independent products.
The memory 101, which is a computer-readable storage medium, may be used for storing software programs, computer-executable programs, such as program instructions/modules corresponding to the methods in the embodiments of the present disclosure. The processor 100 executes functional applications and data processing by executing program instructions/modules stored in the memory 101, that is, implements the far-field speech device detection method in the above-described method embodiment.
The memory 101 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal device, and the like. In addition, the memory 101 may include a high-speed random access memory, and may also include a nonvolatile memory.
The embodiment of the disclosure provides a television terminal, which comprises the far-field voice equipment detection device.
The disclosed embodiments provide a computer-readable storage medium storing computer-executable instructions configured to perform the far-field speech device detection method.
The disclosed embodiments provide a computer program product comprising a computer program stored on a computer readable storage medium, the computer program comprising program instructions that, when executed by a computer, cause the computer to perform the above-described far-field speech device detection method.
The computer-readable storage medium described above may be a transitory computer-readable storage medium or a non-transitory computer-readable storage medium.
The technical solution of the embodiments of the present disclosure may be embodied in the form of a software product, where the computer software product is stored in a storage medium and includes one or more instructions to enable a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method of the embodiments of the present disclosure. And the aforementioned storage medium may be a non-transitory storage medium comprising: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes, and may also be a transient storage medium.
The above description and drawings sufficiently illustrate embodiments of the disclosure to enable those skilled in the art to practice them. Other embodiments may incorporate structural, logical, electrical, process, and other changes. The examples merely typify possible variations. Individual components and functions are optional unless explicitly required, and the sequence of operations may vary. Portions and features of some embodiments may be included in or substituted for those of others. The scope of the disclosed embodiments includes the full ambit of the claims, as well as all available equivalents of the claims. As used in this application, although the terms "first," "second," etc. may be used in this application to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one element from another. For example, a first element could be termed a second element, and, similarly, a second element could be termed a first element, unless the meaning of the description changes, so long as all occurrences of the "first element" are renamed consistently and all occurrences of the "second element" are renamed consistently. The first and second elements are both elements, but may not be the same element. Furthermore, the words used in the specification are words of description only and are not intended to limit the claims. As used in the description of the embodiments and the claims, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. Similarly, the term "and/or" as used in this application is meant to encompass any and all possible combinations of one or more of the associated listed. Furthermore, the terms "comprises" and/or "comprising," when used in this application, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. Without further limitation, an element defined by the phrase "comprising an …" does not exclude the presence of other like elements in a process, method or apparatus that comprises the element. In this document, each embodiment may be described with emphasis on differences from other embodiments, and the same and similar parts between the respective embodiments may be referred to each other. For methods, products, etc. of the embodiment disclosures, reference may be made to the description of the method section for relevance if it corresponds to the method section of the embodiment disclosure.
Those of skill in the art would appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software may depend upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the disclosed embodiments. It can be clearly understood by the skilled person that, for convenience and brevity of description, the specific working processes of the system, the apparatus and the unit described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments disclosed herein, the disclosed methods, products (including but not limited to devices, apparatuses, etc.) may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units may be merely a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form. The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to implement the present embodiment. In addition, functional units in the embodiments of the present disclosure may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
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 embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. In the description corresponding to the flowcharts and block diagrams in the figures, operations or steps corresponding to different blocks may also occur in different orders than disclosed in the description, and sometimes there is no specific order between the different operations or steps. For example, two sequential operations or steps may in fact be executed substantially concurrently, or they may sometimes be executed in the reverse order, depending upon the functionality involved. Each block of the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations, can be implemented by special purpose hardware-based systems that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Claims (10)
1. A method of far-field speech device detection, comprising:
sampling the audio signal with preset frequency through far-field voice equipment to obtain a sampling volume value corresponding to each unit sampling time;
carrying out digital processing on each sampling volume value to obtain a corresponding average decibel value;
and determining that the far-field voice equipment is qualified under the condition that the average decibel value is within a set decibel range.
2. The method of claim 1, wherein obtaining the sampling volume value corresponding to each unit sampling time comprises:
sampling the audio signal by adopting a preset sound sampling rate;
and determining the maximum volume value in each unit sampling time as the sampling volume value.
3. The method of claim 1, wherein digitizing each sampled volume value to obtain a corresponding average decibel value comprises:
carrying out pulse code modulation on each sampling volume value to obtain a corresponding digital sampling volume value;
and summing and averaging the digital sampling volume values to obtain an average volume value, and converting the average volume value into the average decibel value.
4. A method according to claim 1, 2 or 3, characterized in that the method further comprises:
determining the far-field speech equipment as candidate far-field speech equipment under the condition that the average decibel value is within a set decibel range;
and determining that each candidate far-field speech device in the same batch is qualified under the condition that the difference value between the average decibel values of each candidate far-field speech device in the same batch is within a set difference value range.
5. An apparatus for far-field speech device detection, comprising:
the acquisition module is configured to sample an audio signal with a preset frequency through far-field voice equipment to obtain a sampling volume value corresponding to each unit sampling time;
the processing module is configured to carry out digital processing on each sampling volume value to obtain a corresponding average decibel value;
a detection module configured to determine that the far-field speech device is qualified if the average decibel value is within a set decibel range.
6. The apparatus of claim 5,
the acquisition module is specifically configured to sample the audio signal with a preset sound sampling rate; and determining the maximum volume value in each unit sampling time as the sampling volume value.
7. The apparatus of claim 5,
the processing module is specifically configured to perform pulse code modulation on each sampling volume value to obtain a corresponding digital sampling volume value; and summing and averaging the digital sampling volume values to obtain an average volume value, and converting the average volume value into the average decibel value.
8. The apparatus of claim 5, 6 or 7, further comprising:
a batch detection module, configured to determine the far-field speech device as a candidate far-field speech device when the average decibel value is within a set decibel range; and determining that each candidate far-field speech device in the same batch is qualified under the condition that the difference value between the average decibel values of each candidate far-field speech device in the same batch is within a set difference value range.
9. An apparatus for far-field speech device detection, comprising a processor and a memory storing program instructions, wherein the processor is configured to perform the method of any of claims 1 to 4 when executing the program instructions.
10. A television terminal, characterized in that it comprises an apparatus according to claim 5 or 9.
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| CN201910759399.4A CN112393799A (en) | 2019-08-16 | 2019-08-16 | Far-field voice equipment detection method and device and television terminal |
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| CN201910759399.4A CN112393799A (en) | 2019-08-16 | 2019-08-16 | Far-field voice equipment detection method and device and television terminal |
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Cited By (1)
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