CN110910890A - Natural language identification processing method and system - Google Patents
Natural language identification processing method and system Download PDFInfo
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- CN110910890A CN110910890A CN201911268386.3A CN201911268386A CN110910890A CN 110910890 A CN110910890 A CN 110910890A CN 201911268386 A CN201911268386 A CN 201911268386A CN 110910890 A CN110910890 A CN 110910890A
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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
- G10L15/28—Constructional details of speech recognition systems
- G10L15/32—Multiple recognisers used in sequence or in parallel; Score combination systems therefor, e.g. voting 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
- G10L15/005—Language recognition
Abstract
The invention discloses a natural language identification processing method and a system, which comprises an input unit, a plurality of identification engines, an unidentified inquiry unit, an output device, a database, a data encryption unit, a correct language identification unit, a complex language identification unit and an output unit. The invention has simple structure, can effectively convert the independent voice and the hometown speech of the user into the standard mandarin Chinese through a plurality of recognition engines, unidentified inquiry units and databases, thereby avoiding recognition errors or errors, processing the standard mandarin Chinese by the independent voice and increasing the safety.
Description
Technical Field
The invention relates to the field of language identification, in particular to a method and a system for identifying and processing natural language.
Background
In the world where connectivity is becoming widespread, there are many devices that integrate speech recognition technology to improve the human-machine interface that exists between users and connected devices. For example, in a vehicle, a navigation system, an infotainment system, a climate control system, or other vehicle operations may be controlled using voice recognition techniques. In connected homes, household appliances such as televisions, clocks, appliances, light switches, thermostats and vacuum cleaners can integrate voice recognition technology. Other portable devices such as personal assistants, smart watches, tablets, mobile phones, to name a few, also incorporate speech recognition technology.
In current device practice, a single speech recognition engine is responsible for automatic speech recognition and semantic understanding functions. However, known speech recognition engines are not completely accurate and often fail to recognize or recognize errors in natural language processing.
There is a need to improve the accuracy of natural language processing used in speech recognition technology.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide a method and a system for identifying and processing natural language, so as to solve the problems proposed in the background art.
The invention is realized by the following technical scheme: a natural language identification processing system comprises an input unit, a plurality of identification engines, an unidentified inquiry unit, an outputter, a database, a data encryption unit, a correct language identification unit, a complex language identification unit and an output unit;
an input unit for collecting a user's voice;
the plurality of recognition engines are used for synchronously recognizing the voice of the user, transmitting the recognized voice to the database, and dividing the voice into the correct language recognition unit and the complex language recognition unit through the database until the voice is stored in the memory;
when the plurality of recognition engines recognize the recognizable voice, outputting the voice through the output device through the unrecognized inquiry unit, and further performing secondary input;
the data encryption unit is arranged in the database and used for encrypting data;
the voice collected by the database is output through the output unit and is transmitted to the execution equipment.
A natural language recognizing and processing method inputs the sentences of the user into a recognition engine through an input unit, the sentences are Mandarin, hometown Chinese and some special sentences, standard Mandarin is directly input into a database after being recognized by the recognition engine, hometown Chinese and special sentences are inquired through an unidentified inquiry unit after being recorded, and after the user explains the meaning of the sentences in a Mandarin form, the Mandarin and the special sentences are combined and stored in the database.
The recognition engine exchanges the Mandarin and the special sentences when outputting the sentences, and the special sentences can be directly converted into the Mandarin and directly output to the execution device through the output unit.
As a preferred technical solution, the data encryption unit adopts one of the following encryption algorithms: a data encryption algorithm DES, an advanced encryption standard AES, an RSA encryption algorithm, a Base64 encryption algorithm, a message digest algorithm fifth version MD5 encryption algorithm, and a secure hash algorithm SHA 1.
As a preferred technical scheme, the input unit is a microphone or a mobile phone.
Preferably, the output device is a speaker.
The invention has the beneficial effects that: the invention has simple structure, can effectively convert the independent voice and the hometown speech of the user into the standard mandarin Chinese through a plurality of recognition engines, unidentified inquiry units and databases, thereby avoiding recognition errors or errors, processing the standard mandarin Chinese by the independent voice and increasing the safety.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic diagram of the system of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
In the description of the present invention, it is to be understood that the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience of description and simplicity of description, and do not indicate or imply that the devices or elements referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, are not to be construed as limiting the present invention.
In the description of the present invention, it should be noted that unless otherwise explicitly stated or limited, the terms "mounted," "connected," and "disposed" are to be construed broadly and can, for example, be fixedly connected, disposed, detachably connected, disposed, or integrally connected and disposed. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
As shown in fig. 1, a natural language recognition processing system of the present invention includes an input unit, a plurality of recognition engines, an unidentified query unit, an outputter, a database, a data encryption unit, a correct language recognition unit, a complex language recognition unit, and an output unit;
an input unit for collecting a user's voice;
the plurality of recognition engines are used for synchronously recognizing the voice of the user, transmitting the recognized voice to the database, and dividing the voice into the correct language recognition unit and the complex language recognition unit through the database until the voice is stored in the memory;
when the plurality of recognition engines recognize the recognizable voice, outputting the voice through the output device through the unrecognized inquiry unit, and further performing secondary input;
the data encryption unit is arranged in the database and used for encrypting data;
the voice collected by the database is output through the output unit and is transmitted to the execution equipment.
A natural language recognizing and processing method inputs the sentences of the user into a recognition engine through an input unit, the sentences are Mandarin, hometown Chinese and some special sentences, standard Mandarin is directly input into a database after being recognized by the recognition engine, hometown Chinese and special sentences are inquired through an unidentified inquiry unit after being recorded, and after the user explains the meaning of the sentences in a Mandarin form, the Mandarin and the special sentences are combined and stored in the database.
In this embodiment, when the recognition engine outputs a statement, the mandarin and the special statement are exchanged, and the special statement can be directly converted into the mandarin and directly output to the execution device through the output unit.
In this embodiment, the data encryption unit adopts one of the following encryption algorithms: a data encryption algorithm DES, an advanced encryption standard AES, an RSA encryption algorithm, a Base64 encryption algorithm, a message digest algorithm fifth version MD5 encryption algorithm, and a secure hash algorithm SHA 1.
In this embodiment, the input unit is a microphone or a mobile phone.
In this embodiment, the output device is a speaker.
The above description is only an embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that are not thought of through the inventive work should be included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope defined by the claims.
Claims (6)
1. A recognition processing system for natural language, characterized by: the system comprises an input unit, a plurality of recognition engines, an unidentified inquiry unit, an outputter, a database, a data encryption unit, a correct language recognition unit, a complex language recognition unit and an output unit;
an input unit for collecting a user's voice;
the plurality of recognition engines are used for synchronously recognizing the voice of the user, transmitting the recognized voice to the database, and dividing the voice into the correct language recognition unit and the complex language recognition unit through the database until the voice is stored in the memory;
when the plurality of recognition engines recognize the recognizable voice, outputting the voice through the output device through the unrecognized inquiry unit, and further performing secondary input;
the data encryption unit is arranged in the database and used for encrypting data;
the voice collected by the database is output through the output unit and is transmitted to the execution equipment.
2. A natural language identification processing method is characterized in that: the sentence described by the user is input into the recognition engine through the input unit, the sentence is Mandarin, hometown Chinese and some special sentences, the standard Mandarin is directly input into the database after being recognized by the recognition engine, the hometown Chinese and the special sentences are inquired through the unidentified inquiry unit after being recorded, and the Mandarin and the special sentences are combined and stored in the database after the user explains the meaning of the sentence in the form of Mandarin.
3. The natural language recognition processing method according to claim 2, wherein: when the recognition engine outputs the sentences, the Mandarin and the special sentences are exchanged, and the special sentences can be directly converted into the Mandarin and are directly output to the execution device through the output unit.
4. The natural language recognition processing method according to claim 1, wherein: the data encryption unit adopts one of the following encryption algorithms: a data encryption algorithm DES, an advanced encryption standard AES, an RSA encryption algorithm, a Base64 encryption algorithm, a message digest algorithm fifth version MD5 encryption algorithm, and a secure hash algorithm SHA 1.
5. The natural language recognition processing method according to claim 1, wherein: the input unit is a microphone or a mobile phone.
6. The natural language recognition processing method according to claim 1, wherein: the output device is a loudspeaker.
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| CN201911268386.3A CN110910890A (en) | 2019-12-11 | 2019-12-11 | Natural language identification processing method and system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111491421A (en) * | 2020-04-21 | 2020-08-04 | 深圳海令科技有限公司 | Festive lantern actuating system based on P L C-BUS technique |
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| US20190013024A1 (en) * | 2017-07-10 | 2019-01-10 | Samsung Electronics Co., Ltd. | Voice processing method and electronic device supporting the same |
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| CN105931644A (en) * | 2016-04-15 | 2016-09-07 | 广东欧珀移动通信有限公司 | Voice recognition method and mobile terminal |
| CN107093423A (en) * | 2017-05-27 | 2017-08-25 | 努比亚技术有限公司 | A kind of phonetic entry modification method, device and computer-readable recording medium |
| US20190013024A1 (en) * | 2017-07-10 | 2019-01-10 | Samsung Electronics Co., Ltd. | Voice processing method and electronic device supporting the same |
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