CN109523990B - Voice detection method and device - Google Patents
Voice detection method and device Download PDFInfo
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- CN109523990B CN109523990B CN201910054694.XA CN201910054694A CN109523990B CN 109523990 B CN109523990 B CN 109523990B CN 201910054694 A CN201910054694 A CN 201910054694A CN 109523990 B CN109523990 B CN 109523990B
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/01—Assessment or evaluation of speech recognition systems
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/26—Speech to text systems
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
- G10L2015/223—Execution procedure of a spoken command
Abstract
The embodiment of the invention provides a voice detection method and a voice detection device, which are applied to a detection terminal, wherein the voice detection method comprises the steps of responding to a detection instruction and playing to-be-detected contents corresponding to the detection instruction; acquiring audio information when content to be detected is played, and converting the audio information into text information to be detected; and inquiring a to-be-detected resource corresponding to the text information to be detected, judging whether the to-be-detected resource is a preset resource corresponding to the content to be detected, if so, judging that the voice detection is passed and writing a detection result into a voice detection list. The invention can effectively improve the voice detection efficiency, reduce the manual participation in the detection process and ensure the voice detection precision.
Description
Technical Field
The invention relates to the technical field of information detection, in particular to a voice detection method and device.
Background
In the development process of the existing voice assistant (such as Tencent cloud voice, news flying voice, Baidu voice, cibiz, cloud knowing voice and the like), accuracy and reliability tests need to be carried out on voice recognition results to ensure the functional integrity of the voice assistant, but the existing voice assistant is mainly completed manually in the detection process, so that the detection process is complicated, the detection cost is high, and the detection precision cannot be ensured.
Disclosure of Invention
In view of this, the present invention provides a voice detection method and device, which can effectively solve the above problems, reduce the voice detection cost, and improve the detection accuracy.
The preferred embodiment of the present invention provides a voice detection method, which is applied to a detection terminal, and the voice detection method includes:
responding to the detection instruction, and playing the content to be detected corresponding to the detection instruction;
acquiring audio information when content to be detected is played, and converting the audio information into text information to be detected;
and inquiring a to-be-detected resource corresponding to the text information to be detected, judging whether the to-be-detected resource is a preset resource corresponding to the content to be detected, if so, judging that the voice detection is passed and writing a detection result into a voice detection list.
In an option of a preferred embodiment of the present invention, the detecting terminal is capable of communicating with a control terminal, and the step of responding to the detection instruction includes:
and receiving and responding to a detection instruction sent by a user based on the control terminal.
In the selection of the preferred embodiment of the present invention, the step of determining whether the resource to be detected is a preset resource corresponding to the content to be detected includes:
and comparing the identification information of the resource to be detected with the identification information of the preset resource, and if the matching degree of the identification information of the resource to be detected and the identification information of the preset resource is greater than a first preset value, judging that the resource to be detected is the preset resource corresponding to the content to be detected.
In an option of the preferred embodiment of the present invention, the resource types of the resource to be detected and the preset resource include one of an application program, a song, a video, or an article.
In an alternative embodiment of the present invention, the voice detecting method further includes:
and when the resource to be detected is not the preset resource corresponding to the content to be detected, displaying a judgment result to prompt a user that the detection does not pass, and playing the content to be detected corresponding to the detection instruction again until the detection result of the content to be detected passes or the repeated detection times exceed a second preset value, and stopping the detection.
In an option of the preferred embodiment of the present invention, the method further comprises:
responding to a detection list configuration instruction;
calling a voice detection configuration list based on the list configuration instruction and displaying the voice detection configuration list;
and acquiring configuration information input by a user based on the voice information configuration list and storing the voice detection list after configuration is completed.
In the selection of the preferred embodiment of the present invention, the voice information configuration list includes one or more configuration information of a serial number of the content to be detected, identification information of the resource to be detected, whether to pass or not, and execution time.
The preferred embodiment of the present invention further provides a voice detection apparatus, which is applied to a detection terminal, and includes:
the instruction response module is used for responding to the detection instruction and playing the content to be detected corresponding to the detection instruction;
the audio acquisition module is used for acquiring audio information when the content to be detected is played and converting the audio information into text information to be detected;
and the information detection module is used for inquiring the to-be-detected resource corresponding to the text information to be detected, judging whether the to-be-detected resource is a preset resource corresponding to the content to be detected, if so, judging that the voice detection is passed and writing a detection result into a voice detection list.
In a selection of the preferred embodiment of the present invention, the detection terminal can communicate with the control terminal, and the instruction response module is further configured to receive and respond to a detection instruction sent by a user based on the control terminal.
In a selection of a preferred embodiment of the present invention, the information detection module is further configured to compare the identification information of the resource to be detected with the identification information of the preset resource, and if a matching degree between the identification information of the resource to be detected and the identification information of the preset resource is greater than a first preset value, determine that the resource to be detected is the preset resource corresponding to the content to be detected.
Compared with the prior art, the voice detection method and the voice detection device provided by the embodiment of the invention can effectively reduce the manual participation and the voice detection cost in the voice detection process, can also effectively improve the voice detection precision, and are suitable for the voice detection requirements in different scenes.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a schematic block structure diagram of a detection terminal according to an embodiment of the present invention.
Fig. 2 is a schematic flow chart of a voice detection method according to an embodiment of the present invention.
Fig. 3 is a schematic diagram of a speech detection list according to an embodiment of the present invention.
Fig. 4 is a schematic block structure diagram of a speech detection apparatus according to an embodiment of the present invention.
Icon: 10-detecting a terminal; 100-voice detection means; 110-an instruction response module; 120-an audio acquisition module; 130-an information detection module; 200-a memory; 300-a memory controller; 400-processor.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
Fig. 1 is a schematic block diagram of a detection terminal 10 to which the voice detection method and apparatus provided by the embodiment of the present invention are applied. The detection terminal 10 includes a voice detection device 100, a memory 200, a memory controller 300, and a processor 400. The detection terminal 10 may be, but not limited to, an electronic Device with a processing function, such as a computer, a Mobile Internet Device (MID), and the like, and may also be a server, and the like.
Optionally, the elements of the memory 200, the memory controller 300 and the processor 400 are directly or indirectly electrically connected to each other to realize data transmission or interaction. For example, the components are electrically connected to each other through one or more communication buses or signal lines. The voice detection apparatus 100 includes at least one software function module which can be stored in the memory 200 in the form of software or firmware or solidified in the operating system of the detection terminal 10. The processor 400 accesses the memory 200 under the control of the memory controller 300 for executing executable modules stored in the memory 200, such as software functional modules and computer programs included in the voice detection apparatus 100.
It is to be understood that the configuration shown in FIG. 1 is merely illustrative, and that the test terminal 10 may include more or fewer components than shown in FIG. 1, or may have a different configuration than shown in FIG. 1. The components shown in fig. 1 may be implemented in hardware, software, or a combination thereof.
In addition, according to actual requirements, the detection terminal 10 may further be connected to one or more control terminals, and optionally, in this embodiment, the control terminal may be, but is not limited to, an electronic device capable of sending and receiving instructions, such as a remote controller.
Further, please refer to fig. 2 in combination, an embodiment of the present invention further provides a voice detection method applicable to the detection terminal 10. It should be noted that the voice detection method of the present invention is not limited by the specific sequence shown in fig. 2 and described below. It should be understood that the order of some steps in the voice detection method according to the present invention may be interchanged according to actual needs, or some steps may be omitted or deleted.
Step S11, responding to the detection instruction and playing the content to be detected corresponding to the detection instruction;
step S12, acquiring audio information when the content to be detected is played, and converting the audio information into text information to be detected;
step S13, inquiring a resource to be detected corresponding to the text information to be detected, and judging whether the resource to be detected is a preset resource corresponding to the content to be detected, if so, executing step S14, otherwise, executing step S15;
step S14, judging that the voice detection is passed and writing the detection result into a voice detection list;
and step S15, displaying a judgment result to prompt a user that the detection does not pass, and playing the content to be detected corresponding to the detection instruction again until the detection result of the content to be detected passes or the repeated detection times exceed a second preset value.
Compared with the prior art, the voice detection method provided in the steps S11-S15 can realize the rapid and efficient detection of the function of the voice assistant, greatly reduce the human participation and the detection cost in the detection process, improve the intelligence in the detection process and ensure the reliability of the detection result.
In detail, there may be multiple ways of responding to the detection instruction in step S11, where the way of manually clicking triggers the detection instruction to make the detection terminal 10 respond, or the way of acquiring and recognizing a voice instruction of a user to implement a response to the detection instruction, or the way of receiving and responding to the detection instruction sent by the user based on the control terminal, and the embodiment is not limited herein.
As an implementation manner, when performing voice detection, a view of a voice assistant system may be opened, and then a local excel test case file of a windows may be opened, and the content to be detected may be manually clicked to trigger the detection instruction to implement voice detection.
In addition, the content to be detected may be, but is not limited to, pre-stored in the detection terminal 10 in a text form, for example, stored in an excel test case file form, and used for playing the content to be detected when performing voice detection.
In step S12, the audio information may be collected by a radio device disposed on the detection terminal 10, or may be collected by another device and sent to the detection terminal 10, which is not limited herein. It should be noted that when converting the audio information into text information to be detected, the conversion can be realized by the voice assistant to be detected.
In step S13, the resource types of the resource to be detected and the preset resource may include, but are not limited to, one of an application program, a song, a video, or an article, and may be specifically set according to actual requirements. According to actual requirements, the process of judging whether the resource to be detected is a preset resource corresponding to the content to be detected can include: and comparing the identification information of the resource to be detected with the identification information of the preset resource, and if the matching degree of the identification information of the resource to be detected and the identification information of the preset resource is greater than a first preset value, judging that the resource to be detected is the preset resource corresponding to the content to be detected.
Referring to fig. 3, the identification information may be, but is not limited to, a name, a website address, etc. of the resource to be detected, for example, the identification information may be a movie name, such as an english-to-block, or a website address, such as an english-to-blockhttp://47.98.36.22/ 121936.mp3(ii) a The method may also be the same as the content to be examined, and how the weather is today, and the embodiment is not limited herein. It is understood that fig. 3 is only an illustration, and the present embodiment is not described herein again.
As an implementation manner, when the identification information of the resource to be detected is compared with the identification information of the preset resource, the characters in each identification information may be compared one by one, so as to calculate the matching degree between the two according to the comparison result. The first preset value may be, but is not limited to, 50%, 70%, or 99%, and the matching degree Q may be obtained by calculating a formula Q ═ (the same number of characters)/(the total number of characters in the identification information), for example, please refer to fig. 3 again, the identification information of the preset resource is "english decision", the identification information of the resource to be tested is "movie i think of dragon", then the identification information of the playing resource searched according to the text information to be tested is "english decision", that the matching degree between the identification information of the playing resource and the preset text information is greater than the first preset value may be determined.
The detection result in step S14 includes one or more items of audio information, text information to be detected, whether detection passes or not, and detection execution time. For example, when the test passes, the test is passed or not, and the test is saved as PASS, otherwise, NO.
Further, the second preset value in step S15 may be, but is not limited to, 1 time, 3 times, etc. In practical implementation, when the steps S11-S14 are repeatedly executed, the possibility of passing detection can be further increased by adjusting the volume of the played sound, the playing speed, and the like.
It should be noted that, in order to improve the voice detection efficiency, before performing step S11-step S15, a voice detection list for voice detection may be configured first, and the specific configuration process includes: responding to a detection list configuration instruction; calling a voice information configuration list based on the list configuration instruction and displaying the voice information configuration list; and acquiring and storing the configuration information input by the user based on the voice information configuration list. The voice information configuration list may include, but is not limited to, one or more configuration information of a serial number of the content to be detected, identification information of the resource to be detected, whether the resource to be detected passes or not, and execution time, as shown in fig. 3.
In addition, the specific detection process involved in voice detection can be flexibly set according to actual requirements, for example, any row and column list item data can be selected to automatically play voice; any character can be input into the content to be detected shown in fig. 3, and the content to be detected can be played by selecting the voice playing button; the use case scene requirement can be realized by setting a volume value and a speech rate value; the default voice-only checkbox is not selected, and only the selected list item data is played; and selecting a default voice-only playing check box, storing and displaying the detection result to a user after the detection is finished, and the like.
Further, please refer to fig. 4, an embodiment of the present invention further provides a voice detection apparatus 100, where the voice detection apparatus 100 includes a protocol splitting module 110, a service data obtaining module 120, and an information detecting module 130.
The instruction response module 110 is configured to respond to the detection instruction and play the content to be detected corresponding to the detection instruction, and the instruction response module 110 is further configured to receive and respond to the detection instruction sent by the user based on the control terminal. In this embodiment, the step S11 can be executed by the instruction response module 110, and please refer to the step S11 for details, which are not described herein again.
The audio obtaining module 120 is configured to obtain audio information when the content to be detected is played, and convert the audio information into text information to be detected; in this embodiment, the step S12 can be executed by the audio obtaining module 120, and please refer to the step S12 for a specific process, which is not described herein again.
The information comparison module 130 is configured to query a to-be-detected resource corresponding to the to-be-detected text information, determine whether the to-be-detected resource is a preset resource corresponding to the to-be-detected content, and if the to-be-detected resource is the preset resource corresponding to the to-be-detected content, determine that the current voice detection is passed and write a detection result into a voice detection list; the information detection module 130 is further configured to compare the identification information of the resource to be detected with the identification information of the preset resource, and if the matching degree between the identification information of the resource to be detected and the identification information of the preset resource is greater than a first preset value, determine that the resource to be detected is the preset resource corresponding to the content to be detected. In this embodiment, the steps S13 and S15 can be executed by the information comparison module 130, and please refer to the steps S13 and S15 for details, which are not described herein again.
In summary, the voice detection method and the voice detection device provided by the embodiment of the invention can effectively reduce the human participation and the voice detection cost in the voice detection process, and can also effectively improve the voice detection precision, thereby being suitable for the voice detection requirements in different scenes.
In the description of the present invention, the terms "disposed", "connected" and "connected" should be interpreted broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
In the embodiments provided in the embodiments of the present invention, it should be understood that the disclosed apparatus and method may be implemented in other ways. The apparatus and method embodiments described above are illustrative only, as the flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to a predetermined number of embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code. The module, segment, or portion of code, comprises one or a predetermined number of elements designed to implement a specified logical function.
It should also be noted that, 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. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A voice detection method is applied to a detection terminal, and is characterized in that the voice detection method comprises the following steps:
responding to the detection instruction, and playing the content to be detected corresponding to the detection instruction;
acquiring audio information when content to be detected is played, and converting the audio information into text information to be detected;
and inquiring a to-be-detected resource corresponding to the text information to be detected, judging whether the to-be-detected resource is a preset resource corresponding to the content to be detected, if so, judging that the voice detection is passed and writing a detection result into a voice detection list.
2. The voice detection method according to claim 1, wherein the detection terminal is capable of communicating with a control terminal, and the step of responding to the detection instruction comprises:
and receiving and responding to a detection instruction sent by a user based on the control terminal.
3. The voice detection method according to claim 1, wherein the step of determining whether the resource to be detected is a preset resource corresponding to the content to be detected comprises:
and comparing the identification information of the resource to be detected with the identification information of the preset resource, and if the matching degree of the identification information of the resource to be detected and the identification information of the preset resource is greater than a first preset value, judging that the resource to be detected is the preset resource corresponding to the content to be detected.
4. The speech detection method of claim 3, wherein the resource type of the resource to be examined and the preset resource comprises one of an application, a song, or a video.
5. The voice detection method according to claim 1, characterized in that the voice detection method further comprises:
and when the resource to be detected is not the preset resource corresponding to the content to be detected, displaying a judgment result to prompt a user that the detection does not pass, and playing the content to be detected corresponding to the detection instruction again until the detection result of the content to be detected passes or the repeated detection times exceed a second preset value, and stopping the detection.
6. The speech detection method of claim 1, further comprising:
responding to a detection list configuration instruction;
calling a voice detection configuration list based on the list configuration instruction and displaying the voice detection configuration list;
and acquiring configuration information input by a user based on the voice information configuration list and storing the voice detection list after configuration is completed.
7. The voice detection method according to claim 6, wherein the voice information configuration list includes one or more configuration information of a serial number of the content to be detected, identification information of a preset resource, identification information of a resource to be detected, whether to pass or not, and execution time.
8. The utility model provides a voice detection device, is applied to the test terminal, its characterized in that includes:
the instruction response module is used for responding to the detection instruction and playing the content to be detected corresponding to the detection instruction;
the audio acquisition module is used for acquiring audio information when the content to be detected is played and converting the audio information into text information to be detected;
and the information detection module is used for inquiring the to-be-detected resource corresponding to the text information to be detected, judging whether the to-be-detected resource is a preset resource corresponding to the content to be detected, if so, judging that the voice detection is passed and writing a detection result into a voice detection list.
9. The voice detection device according to claim 8, wherein the detection terminal is capable of communicating with a control terminal, and the instruction response module is further configured to receive and respond to a detection instruction sent by a user based on the control terminal.
10. The voice detection device according to claim 8, wherein the information detection module is further configured to compare the identification information of the resource to be detected with the identification information of the preset resource, and if the matching degree between the identification information of the resource to be detected and the identification information of the preset resource is greater than a first preset value, determine that the resource to be detected is the preset resource corresponding to the content to be detected.
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| CN107818797A (en) * | 2017-12-07 | 2018-03-20 | 苏州科达科技股份有限公司 | Voice quality assessment method, apparatus and its system |
| CN108564966A (en) * | 2018-02-02 | 2018-09-21 | 安克创新科技股份有限公司 | The method and its equipment of tone testing, the device with store function |
| CN109102797A (en) * | 2018-07-06 | 2018-12-28 | 平安科技（深圳）有限公司 | Speech recognition test method, device, computer equipment and storage medium |
| CN108986811A (en) * | 2018-08-31 | 2018-12-11 | 北京新能源汽车股份有限公司 | A kind of detection method of speech recognition, device and equipment |
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