CN111126081B - Global universal language terminal and method - Google Patents
Global universal language terminal and method Download PDFInfo
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- CN111126081B CN111126081B CN201811284668.8A CN201811284668A CN111126081B CN 111126081 B CN111126081 B CN 111126081B CN 201811284668 A CN201811284668 A CN 201811284668A CN 111126081 B CN111126081 B CN 111126081B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72448—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The present disclosure provides a global universal language method and related products, the method comprising the steps of: the intelligent mobile phone receives an intercom request sent by a terminal, and intercom connection is established; the smart phone receives first voice information transmitted by the intercom connection, recognizes the first voice information, forms the first voice information into first input data when determining that the first voice information is in a non-set language, performs sparsification on the first input data to obtain sparse second input data, inputs the second input data into a translation model for calculation, and translates the second input data into second voice information in the set language; the smart phone plays the second voice information through the sounding device. The technical scheme provided by the application has the advantage of high user experience.
Description
Technical Field
The invention relates to the technical field of communication and translation, in particular to a global universal language terminal and a global universal language method.
Background
Translation is the translation of one language into another, and existing translations are typically implemented manually, but manual translation is highly limited and costly.
In order to reduce the cost of translation, machine translation appears, but the existing machine translation realizes translation based on a network, so that offline translation cannot be realized, and the calculation amount of translation is large, the response time is slow, and the user experience degree is influenced.
Disclosure of Invention
The embodiment of the invention provides a global universal language terminal and a global universal language method, which can improve the calculation amount of language translation, speed the translation and improve the user experience.
In a first aspect, an embodiment of the present invention provides a global universal language method, including the steps of:
the intelligent mobile phone receives an intercom request sent by a terminal, and intercom connection is established;
the smart phone receives first voice information transmitted by the intercom connection, recognizes the first voice information, forms the first voice information into first input data when determining that the first voice information is in a non-set language, performs sparsification on the first input data to obtain sparse second input data, inputs the second input data into a translation model for calculation, and translates the second input data into second voice information in the set language;
the smart phone plays the second voice information through the sounding device.
Optionally, the intercom connection is a close range intercom connection.
Optionally, the method for recognizing the first voice information to determine that the first voice information is a non-set language specifically includes:
a natural language recognition algorithm is employed to determine whether the first language is a non-set language.
Optionally, the performing sparsification on the first input data to obtain sparse second input data specifically includes:
traversing the element values of all elements of the first input data, if the element value is zero, replacing the zero element value with a zero mark, if the element value is 1, replacing the 1 element value with a 1 mark, and the other values of the element values are unchanged, wherein the input data replacing the zero element and the 1 element is the second input data; when the data calculation is performed, if the element value is determined to be zero, the calculation is not performed to directly output the multiplication result 0, if the element value is 1, the calculation is not performed to directly output the multiplication result as a multiplier.
In a second aspect, there is provided a smart phone comprising: a processor, a communication unit and a sound generating device,
the communication unit is used for receiving an intercom request sent by the terminal, establishing intercom connection and receiving first voice information transmitted by the intercom connection;
the processor is used for recognizing the first voice information, forming the first voice information into first input data when the first voice information is determined to be in a non-set language, performing sparsification on the first input data to obtain sparse second input data, inputting the second input data into the translation model for calculation, and translating the second input data into second voice information in the set language; and controlling the sound generating equipment to play the second voice information.
Optionally, the intercom connection is a close range intercom connection.
Optionally, the processor is specifically configured to determine whether the first language is a non-set language by using a natural language recognition algorithm.
Optionally, the processor is specifically configured to traverse element values of all elements of the first input data, if the element value is zero, replace the zero element value with a zero flag, if the element value is 1, replace the 1 element value with a 1 flag, and other values of the element value are unchanged, where the input data of the replaced zero element and the 1 element is the second input data; when the data calculation is performed, if the element value is determined to be zero, the calculation is not performed to directly output the multiplication result 0, if the element value is 1, the calculation is not performed to directly output the multiplication result as a multiplier.
In a third aspect, a computer-readable storage medium storing a program for electronic data exchange is provided, wherein the program causes a terminal to execute the method provided in the first aspect.
The embodiment of the invention has the following beneficial effects:
it can be seen that, when receiving the intercom request, the technical scheme provided by the application listens to the intercom request to establish intercom connection, when determining that the first voice information is a non-set language after receiving the first voice information according to the intercom connection, the first voice is thinned and then is input into the translation model for translation, so that the data calculation amount after the thinning is small, the calculation speed is improved, and the user experience degree is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic structure of a terminal.
FIG. 2 is a flow chart of a global universal language method.
Fig. 3 is a schematic diagram of input data sparsification according to an embodiment of the present invention.
Fig. 4 is a schematic structural diagram of a smart phone according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The terms "first," "second," "third," and "fourth" and the like in the description and in the claims and drawings are used for distinguishing between different objects and not necessarily for describing a particular sequential or chronological order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed steps or elements but may include other steps or elements not listed or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, result, or characteristic described in connection with the embodiment may be included in at least one embodiment of the invention. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a terminal, as shown in fig. 1, the terminal includes: processor 101, display 105, communication module 102, memory 103, and speaker 104.
The processor 101 may specifically include: a multi-core processor.
Optionally, the processor 101 may also be integrated with a neural network processing chip. The neural network processing chip can carry the memory to store data.
Referring to fig. 2, fig. 2 provides a global universal language method, which is executed by the terminal shown in fig. 1, and the terminal may be a mobile phone, and the method shown in fig. 2 includes the following steps:
step S201, the intelligent mobile phone receives an intercom request sent by a terminal, and intercom connection is established;
the terminal can be intelligent equipment such as a mobile phone, a tablet personal computer, a PDA and the like, and can be non-intelligent equipment such as an interphone and the like.
Optionally, the call request may specifically be a call request based on a short distance, such as bluetooth, radio frequency, etc., or a call request of wireless intercom, etc.
Step S202, the smart phone receives first voice information transmitted by the intercom connection, recognizes the first voice information, forms first input data from the first voice information when the first voice information is determined to be in a non-set language, performs sparsification on the first input data to obtain sparse second input data, inputs the second input data into a translation model for calculation, and translates the second input data into second voice information in the set language;
the above-described method of identifying the first voice information to determine that the first voice information is in a non-set language may be varied, for example, in an alternative embodiment,
determining whether the first language is a non-set language using a natural language identification algorithm, the natural language identification algorithm may specifically include: hundred degree voice, siri, google voice assistant, etc.
The above-described method of identifying the first voice information to determine that the first voice information is in a non-set language may be varied, for example, in an alternative embodiment,
and receiving a first language of the first voice information sent by the terminal, wherein the first language belongs to a non-set language, and determining that the first language is the non-set language.
For example, the set language is chinese, and the first language of the first voice information sent by the terminal is english, then the first voice information is directly determined to be a non-set language.
Step S203, the smart phone plays the second voice information through the sounding device.
According to the technical scheme, when the intercom request is received, the intercom request is answered to establish intercom connection, after the intercom connection receives the first voice information, when the first voice information is determined to be a non-set language, the first voice is thinned, and then is input into the translation model for translation, so that the data calculation amount after the thinning is small, the calculation speed is improved, and the user experience degree is improved.
It should be noted that, the method for forming the first voice information into the first input data may be, for example, that the classifier is a neural network model, the method for forming the first language information into the first input data, that is, the input matrix w, and the method for forming the first language information into the input matrix w may be obtained by using an input matrix forming method of an existing classification recognition algorithm, for example, a waveform chart of the first language information is collected (for example, the waveform chart may be collected directly by recording software), a plurality of values are sampled in the waveform chart, and the plurality of values are sequentially arranged to form the input matrix. Of course, other modes may be adopted, and the present application is not limited to the above-mentioned input matrix composition mode.
The performing sparsification on the first input data to obtain sparse second input data may specifically include:
traversing the element values of all elements of the first input data, if the element value is zero, replacing the element value with a zero mark (for example, 8 bits 0), if the element value is 1, replacing the element value with a 1 mark (for example, 8 bits 1), and the other values of the element values are unchanged, wherein the input data replacing the element value and the element value is the second input data; when the data calculation is performed, if the element value is determined to be zero, the calculation is not performed to directly output the multiplication result 0, if the element value is 1, the calculation is not performed to directly output the multiplication result as a multiplier (namely, the element value corresponding to the weight value).
Through the setting, the calculation of 0 element and 1 element can be reduced, the storage space of the recorded mark value is smaller than 32 bits, for example, the recorded mark value can be 8 bits, so that the storage space is reduced, the storage efficiency is improved, and the execution speed is high after the calculation is reduced. As shown in fig. 3, black boxes are marked with zero, gray boxes are marked with 1, and each box represents an element value.
Referring to fig. 4, fig. 4 provides a smart phone, which includes: a processor 401, a communication unit 402 and a sound emitting device 403 (speaker or earpiece),
the communication unit is used for receiving an intercom request sent by the terminal, establishing intercom connection and receiving first voice information transmitted by the intercom connection;
the processor is used for recognizing the first voice information, forming the first voice information into first input data when the first voice information is determined to be in a non-set language, performing sparsification on the first input data to obtain sparse second input data, inputting the second input data into the translation model for calculation, and translating the second input data into second voice information in the set language; and controlling the sound generating equipment to play the second voice information.
Optionally, the intercom connection is a close range intercom connection.
Optionally, the processor is specifically configured to determine whether the first language is a non-set language by using a natural language recognition algorithm.
Optionally, the processor is specifically configured to traverse element values of all elements of the first input data, if the element value is zero, replace the zero element value with a zero flag, if the element value is 1, replace the 1 element value with a 1 flag, and other values of the element value are unchanged, where the input data of the replaced zero element and the 1 element is the second input data; when the data calculation is performed, if the element value is determined to be zero, the calculation is not performed to directly output the multiplication result 0, if the element value is 1, the calculation is not performed to directly output the multiplication result as a multiplier.
The embodiment of the present invention also provides a computer storage medium storing a computer program for electronic data exchange, where the computer program causes a computer to execute some or all of the steps of any one of the global general-purpose language methods described in the above method embodiments.
Embodiments of the present invention also provide a computer program product comprising a non-transitory computer-readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any one of the global general-purpose language methods described in the method embodiments above.
It should be noted that, for simplicity of description, the foregoing method embodiments are all described as a series of acts, but it should be understood by those skilled in the art that the present invention is not limited by the order of acts described, as some steps may be performed in other orders or concurrently in accordance with the present invention. Further, those skilled in the art will also appreciate that the embodiments described in the specification are alternative embodiments, and that the acts and modules referred to are not necessarily required for the present invention.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to related descriptions of other embodiments.
In the several embodiments provided in this application, it should be understood that the disclosed apparatus may be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative, such as the division of the units, merely a logical function division, and there may be additional manners of dividing the actual implementation, such as multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, or may be in electrical or other forms.
The units described as separate units may or may not be physically separate, and units shown 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 may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units described above may be implemented either in hardware or in software program modules.
The integrated units, if implemented in the form of software program modules, may be stored in a computer-readable memory for sale or use as a stand-alone product. Based on this understanding, the technical solution of the present invention may be embodied essentially or partly in the form of a software product, or all or part of the technical solution, which is stored in a memory, and includes several instructions for causing a computer device (which may be a personal computer, a server, a network device, or the like) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned memory includes: a U-disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Those of ordinary skill in the art will appreciate that all or a portion of the steps in the various methods of the above embodiments may be implemented by a program that instructs associated hardware, and the program may be stored in a computer readable memory, which may include: flash disk, read-Only Memory (ROM), random access Memory (Random Access Memory, RAM), magnetic disk or optical disk.
The foregoing has outlined rather broadly the more detailed description of embodiments of the invention, wherein the principles and embodiments of the invention are explained in detail using specific examples, the above examples being provided solely to facilitate the understanding of the method and core concepts of the invention; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present invention, the present description should not be construed as limiting the present invention in view of the above.
Claims (7)
1. A global universal language method, said method comprising the steps of:
the intelligent mobile phone receives an intercom request sent by a terminal, and intercom connection is established;
the smart phone receives first voice information transmitted by the intercom connection, recognizes the first voice information, forms the first voice information into first input data when determining that the first voice information is in a non-set language, performs sparsification on the first input data to obtain sparse second input data, inputs the second input data into a translation model for calculation, and translates the second input data into second voice information in the set language;
the smart phone plays the second voice information through the sounding device;
the second input data obtained by thinning the first input data specifically includes:
traversing the element values of all elements of the first input data, if the element value is zero, replacing the zero element value with a zero mark, if the element value is 1, replacing the 1 element value with a 1 mark, keeping other values of the element value unchanged, and obtaining the input data replacing the zero element value and the 1 element value as second input data; when the data calculation is performed, if the element value is determined to be zero, the calculation is not performed to directly output the multiplication result 0, if the element value is 1, the calculation is not performed to directly output the multiplication result as a multiplier.
2. The method of claim 1, wherein the step of determining the position of the substrate comprises,
the intercom connection is close-range intercom connection.
3. The method of claim 1, wherein the identifying the first voice message to determine the first voice message is a non-speech-setting method specifically comprises:
a natural language recognition algorithm is employed to determine whether the first speech information is in a non-set language.
4. A smart phone, the smart phone comprising: a processor, a communication unit and a sound generating device, characterized in that,
the communication unit is used for receiving an intercom request sent by the terminal, establishing intercom connection and receiving first voice information transmitted by the intercom connection;
the processor is used for recognizing the first voice information, forming the first voice information into first input data when the first voice information is determined to be in a non-set language, performing sparsification on the first input data to obtain sparse second input data, inputting the second input data into the translation model for calculation, and translating the second input data into second voice information in the set language; controlling the sound generating equipment to play the second voice information;
the processor is specifically configured to traverse element values of all elements of the first input data, if the element value is zero, replace the zero element value with a zero flag, if the element value is 1, replace the 1 element value with a 1 flag, and other values of the element value are unchanged, and input data replacing the zero element value and the 1 element value is the second input data; when the data calculation is performed, if the element value is determined to be zero, the calculation is not performed to directly output the multiplication result 0, if the element value is 1, the calculation is not performed to directly output the multiplication result as a multiplier.
5. The smart phone of claim 4, wherein,
the intercom connection is close-range intercom connection.
6. The smart phone of claim 4, wherein,
the processor is specifically configured to determine whether the first voice information is in a non-set language by using a natural language recognition algorithm.
7. A computer-readable storage medium storing a program for electronic data exchange, wherein the program causes a terminal to perform the method provided in any one of claims 1-3.
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