CN112489624A - Voice recognition device for tablet computer - Google Patents
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- G10L15/00—Speech recognition
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- G10L21/00—Speech or voice signal processing techniques to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
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Abstract
The invention discloses a voice recognition device for a tablet computer, which comprises a tablet computer microphone, a voice signal receiver, a language extraction module, a noise reduction processing unit, a voice correction unit, a language comparison module, a language entry library, a voice forming unit, a decision feedback module, a system execution unit, a storage module and an execution feedback unit, the tablet computer microphone is used for inputting and uploading voice, the voice signal receiver is used for receiving the voice input and uploaded by the tablet computer microphone, the voice extracting module is used for extracting effective voice from the voice received by the voice signal receiver, the voice correcting unit is used for preliminarily arranging and converging the voice processed by the noise reducing unit, the voice comparison module is used for comparing and checking the voice uploaded by the voice correction unit with the data of the voice entry library; the invention can effectively improve the recognition efficiency and accuracy of the voice recognition device.
Description
Technical Field
The invention relates to the field of voice recognition devices, in particular to a voice recognition device for a tablet personal computer.
Background
The existing tablet personal computer, also called a portable computer, is a small-sized and portable personal computer, and uses a touch screen as a basic input device, the touch screen of the existing tablet personal computer is also called a digital board technology, so that a user can operate through a touch pen or a digital pen instead of a traditional keyboard or a mouse, and the user can realize input through built-in handwriting recognition or a soft keyboard on a screen, voice recognition or a real keyboard.
The existing voice recognition device for the tablet personal computer has no preprocessing structure when receiving external voice, so that the subsequent recognition of the voice is difficult after the voice is received, the recognition speed and the recognition accuracy are greatly influenced, the adverse effect caused by the recognition device is large, the use is not facilitated, correct comparison is not carried out on words in the voice in the recognition process, the voice feedback forming process is caused, the formed effective voice command is slow, the overall efficiency of the voice recognition device is influenced, and the use of the voice recognition device is not facilitated.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the existing voice recognition device for the tablet personal computer has no preprocessing structure when receiving external voice, so that the subsequent recognition of the voice is difficult after the voice is received, the recognition speed and the recognition accuracy are greatly influenced, the adverse effect caused by the recognition device is large, the use is not facilitated, correct comparison is not carried out on words in the voice in the recognition process, the voice feedback forming process is caused, the formed effective voice command is slow, the overall efficiency of the voice recognition device is influenced, and the use of the voice recognition device is not facilitated.
The invention solves the technical problems through the following technical scheme, and discloses a voice recognition device for a tablet personal computer, which is characterized by comprising a tablet personal computer microphone, a voice signal receiver, a language extraction module, a noise reduction processing unit, a voice correction unit, a language comparison module, a language entry library, a voice forming unit, a decision feedback module, a system execution unit, a storage module and an execution feedback unit;
the tablet computer microphone is used for inputting and uploading voice;
the voice signal receiver is used for receiving voice input and uploaded by a microphone of the tablet computer;
the voice extraction module is used for extracting effective voice from the voice received by the voice signal receiver;
the noise reduction module is used for preprocessing the voice received by the voice extraction module;
the voice correction unit is used for preliminarily arranging and converging words for the voice processed by the noise reduction unit;
the voice comparison module is used for comparing and checking the voice uploaded by the voice correction unit with the data of the voice entry library;
the voice entry is used for storing word data and providing a data source for the voice comparison module;
the language forming unit is used for splicing the voice words and sentences compared by the voice comparison module to form an effective system command;
the decision feedback module is used for feeding back the system command read by the voice forming unit to an operator to confirm whether to execute the system command;
the system execution unit is used for executing the voice command determined by the decision feedback module;
the storage module is used for recording and backing up the operation flow executed by the system execution unit;
the execution feedback unit is used for informing an operator of the result of the execution of the system execution unit.
Preferably, the information organization unit comprises an audio receiving unit, a feature extraction unit, a network sentence library, a word comparison module, a language organization unit and an audio output unit;
preferably, the specific processing steps of the voice correction unit end are as follows:
the method comprises the following steps: the audio receiving unit receives the voice processed by the noise reduction processing unit, is used as transmission connection between the noise reduction processing unit and the voice correction unit, and simultaneously transmits the received voice data to the feature extraction module;
step two: the feature extraction module is used for screening words and phrases from the voice received by the audio receiving unit, and respectively transmitting the screened words and phrases to the word and phrase comparison module for comparison and correction;
step three: the network sentence library acquires a correct word data source on the Internet, is connected with the external Internet, acquires correct words from the network and finally transmits the data to the word comparison module;
step four: the word comparison module compares the network word and sentence library with the feature extraction and extracts correct words and sentences, and the word comparison module can respectively receive word data transmitted by the feature extraction unit and the network word and sentence library and correct wrong words and phrases in the voice after respective comparison;
step five: the language organization system combines the words after the words are compared and corrected by the word comparison module to form effective word and sentence audio, and the language organization unit can receive the words corrected by the word comparison module and then correctly organize the words into sentences;
step six: the audio output unit transmits the words and sentence audio made by the language organization system, and can receive the final sentences formed by the language organization unit and transmit the sentence data.
Preferably, the noise reduction processing unit includes a voice input unit, an audio demagnetization unit, a word and sentence elimination unit, a word and sentence combination module, and a voice output unit, the voice input unit is configured to receive the voice transmitted by the language extraction module, the audio demagnetization unit is configured to weaken background noise in the voice received by the voice input unit, the word and sentence elimination unit is configured to play back words in the voice received by the voice input unit clearly, the word and sentence combination module is configured to combine the voice processed by the audio processing unit and the word and sentence processing unit into sentences, and the language output unit is configured to transmit the language made by the word and sentence combination module.
Preferably, the voice extraction module includes a voice receiving unit, a background sound screening unit and a word and sentence screening unit, the voice receiving unit is configured to receive the voice received by the voice signal receiver, the background sound screening unit is configured to screen and store the environmental sound in the voice received by the voice receiving unit, and the word and sentence screening unit is configured to screen and store the words and sentences in the voice received by the voice receiving unit.
Preferably, the voice comparison module comprises a data receiving unit, a data comparison module and a data transmission unit, the data receiving unit is used for respectively receiving data from the voice correction unit and the voice entry library, the data comparison module is used for comparing and forming word and sentence data received by the data receiving unit, and the data transmission unit is used for transmitting voice formed after comparison of the data comparison device.
Preferably, the system execution unit includes a system command receiving unit, an operation execution unit, a command correction module, and an execution information reaction module, where the system command receiving unit is configured to receive the voice command determined to be executed by the decision feedback module, the operation command correction module is configured to determine whether the operation command is correct or not to be executed, the operation execution unit is configured to execute the operation command received by the system command receiving unit, and the execution information reaction module is configured to transmit result data of the operation executed by the operation execution unit.
Preferably, the specific processing steps of the system execution unit are as follows:
s1: firstly, a system command receiving unit receives a voice command determined and executed by a decision feedback module, and the voice command is used as a connection transmission unit to transmit a language command to an operation command correction module;
s2: the operation command correction module judges whether the operation command is correct or not, judges whether hidden danger exists in the operation command or not and uploads an operation record to the storage module;
s3: the operation execution unit executes the operation command received by the system command receiving unit, and can upload the progress to the execution reaction module in real time in the execution process;
s4: the execution information reaction module transmits result data of the operation executed by the operation execution unit and uploads the execution result to the execution feedback unit.
Compared with the prior art, the invention has the following advantages:
the noise reduction processing unit is arranged, input voice can be preliminarily processed, the language input unit is used for receiving the input voice from the voice signal receiver, the input voice is respectively transmitted to the sound effect degaussing module and the word and phrase eliminating module to be processed, background sound is weakened, meanwhile, the background sound is degaussing noise to the maximum extent, meanwhile, the word and phrase eliminating module is used for polishing the words and phrases in the voice, the words and phrases can be highlighted and clear, final voice formed by the word and phrase forming module is finally transmitted out through the voice output unit, the noise reduction processing unit is arranged to preprocess the input voice, noise and environmental sound in the voice are weakened, the words and phrases in the voice are clear, subsequent recognition is facilitated, and the efficiency of the voice recognition device is improved;
the system organization system unit is arranged to correct the pre-formed language commands, the audio receiving unit is used for receiving the language data transmitted from the noise reduction processing unit, the characteristic extraction unit is used for screening words and sentences of the language data respectively, the words and the sentences are transmitted to the word comparison module for comparison, the word comparison module is used for receiving data resources of the network word and sentence library and comparing the words and the sentences of the characteristic extraction unit, errors of the words and the sentences are corrected, the language organization unit is used for forming correct language audio, the audio output unit is used for data transmission, and the voice correction unit is arranged to correct the words and the sentences in the voice before the voice commands are formed, so that the formation of subsequent error commands is avoided, and the accuracy of voice recognition is increased.
Drawings
FIG. 1 is a system block diagram of the present invention;
FIG. 2 is a system diagram of a speech correction unit of the present invention;
fig. 3 is a system diagram of a noise reduction processing unit of the present invention.
Detailed Description
The following examples are given for the detailed implementation and specific operation of the present invention, but the scope of the present invention is not limited to the following examples.
As shown in fig. 1-3, the present embodiment provides a technical solution: a voice recognition device for a tablet computer is characterized by comprising a tablet computer microphone, a voice signal receiver, a language extraction module, a noise reduction processing unit, a voice correction unit, a language comparison module, a language entry library, a voice forming unit, a decision feedback module, a system execution unit, a storage module and an execution feedback unit,
the tablet computer microphone is used for inputting and uploading voice,
the voice signal receiver is used for receiving voice input and uploaded by a microphone of the tablet computer;
the voice extraction module is used for extracting effective voice from the voice received by the voice signal receiver;
the noise reduction module is used for preprocessing the voice received by the voice extraction module;
the voice correction unit is used for preliminarily arranging and converging words for the voice processed by the noise reduction unit;
the voice comparison module is used for comparing and checking the voice uploaded by the voice correction unit with the data of the voice entry library;
the voice entry is used for storing word data and providing a data source for the voice comparison module;
the language forming unit is used for splicing the voice words and sentences compared by the voice comparison module to form an effective system command;
the decision feedback module is used for feeding back the system command read by the voice forming unit to an operator to confirm whether to execute the system command;
and the system execution unit is used for executing the voice command determined by the decision feedback module.
The storage module is used for recording and backing up the operation flow executed by the system execution unit;
the execution feedback unit is used for notifying an operator of a result after the system execution unit executes;
the specific processing steps of the voice correction unit end are as follows:
the method comprises the following steps: the audio receiving unit receives the voice processed by the noise reduction processing unit, is used as transmission connection between the noise reduction processing unit and the voice correction unit, and simultaneously transmits the received voice data to the feature extraction module;
step two: the feature extraction module is used for screening words and phrases from the voice received by the audio receiving unit, and respectively transmitting the screened words and phrases to the word and phrase comparison module for comparison and correction;
step three: the network sentence library acquires a correct word data source on the Internet, is connected with the external Internet, acquires correct words from the network and finally transmits the data to the word comparison module;
step four: the word comparison module compares the network word and sentence library with the feature extraction and extracts correct words and sentences, and the word comparison module can respectively receive word data transmitted by the feature extraction unit and the network word and sentence library and correct wrong words and phrases in the voice after respective comparison;
step five: the language organization system combines the words after the words are compared and corrected by the word comparison module to form effective word and sentence audio, and the language organization unit can receive the words corrected by the word comparison module and then correctly organize the words into sentences;
step six: the audio output unit transmits the words and sentence audio made by the language organization system, and can receive the final sentences formed by the language organization unit and transmit the sentence data.
The noise reduction processing unit comprises a voice input unit, an effect demagnetization unit, a word and sentence elimination unit, a word and sentence composition module and a voice output unit, the voice input unit is used for receiving the voice transmitted by the language extraction module, the sound effect demagnetization unit is used for weakening background noise in the voice received by the voice input unit, the word and sentence elimination unit is used for playing back words in the voice received by the language input unit clearly, the word and sentence composition module is used for combining the voice processed by the sound effect processing unit and the word and sentence processing unit into sentences, and the language output unit is used for transmitting the language manufactured by the word and sentence composition module.
The voice extraction module comprises a voice receiving unit, a background voice screening unit and a word and sentence screening unit, the voice receiving unit is used for receiving voice received by the voice signal receiver, the background voice screening unit is used for screening and storing environmental voice in the voice received by the voice receiving unit, and the word and sentence screening unit is used for screening and storing words and sentences in the voice received by the voice receiving unit.
The voice comparison module comprises a data receiving unit, a data comparison module and a data transmission unit, the data receiving unit is used for respectively receiving data from the voice correction unit and the voice entry library, the data comparison module is used for comparing and forming word and sentence data received by the data receiving unit, and the data transmission unit is used for transmitting voice formed after the data comparison device is compared.
The system execution unit comprises a system command receiving unit, an operation execution unit, a command correction module and an execution information reaction module, wherein the system command receiving unit is used for receiving the voice command which is determined to be executed by the decision feedback module, the operation command correction module is used for judging whether the operation command is correct or not to be executed, the operation execution unit is used for executing the operation command received by the system command receiving unit, and the execution information reaction module is used for transmitting result data of the operation executed by the operation execution unit.
The specific processing steps of the system execution unit are as follows:
s1: firstly, a system command receiving unit receives a voice command determined and executed by a decision feedback module, and the voice command is used as a connection transmission unit to transmit a language command to an operation command correction module;
s2: the operation command correction module judges whether the operation command is correct or not, judges whether hidden danger exists in the operation command or not and uploads an operation record to the storage module;
s3: the operation execution unit executes the operation command received by the system command receiving unit, and can upload the progress to the execution reaction module in real time in the execution process;
s4: the execution information reaction module transmits result data of the operation executed by the operation execution unit and uploads the execution result to the execution feedback unit.
In summary, when the invention is used, firstly, the voice input by the tablet computer microphone is received by the voice signal, the externally input voice is accessed by the tablet computer microphone, and then the voice is transmitted to the voice extraction module, the background sound and the words are respectively extracted by the voice extraction module, the noise reduction processing unit firstly receives the background sound and the words grouped by the voice extraction module, then the background sound and the words are respectively screened and processed, the convenience is provided for the subsequent voice recognition, the screened voice is transmitted to the voice correction unit for comparison and correction, the subsequent recognition error is prevented, the formation of the voice command is prevented, the recognition accuracy is improved, the corrected voice is transmitted to the voice comparison module for final comparison, at the moment, the voice vocabulary bank provides word data for the voice comparison module, the comparison and the formation are convenient, the voice is transmitted to the voice formation unit for the final voice command formation after the voice comparison, and after forming a command, transmitting the command to a decision feedback module to inform an operator of inquiring whether to execute the command, executing the operation through a system execution unit, recording and keeping the operation probability through a storage module, and finally informing the operator of the execution structure and condition through an execution feedback unit so as to finish the use process of the whole tablet computer voice recognition device.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (8)
1. A voice recognition device for a tablet computer is characterized by comprising a tablet computer microphone, a voice signal receiver, a language extraction module, a noise reduction processing unit, a voice correction unit, a language comparison module, a language entry library, a voice forming unit, a decision feedback module, a system execution unit, a storage module and an execution feedback unit;
the tablet computer microphone is used for inputting and uploading voice;
the voice signal receiver is used for receiving voice input and uploaded by a microphone of the tablet computer;
the voice extraction module is used for extracting effective voice from the voice received by the voice signal receiver;
the noise reduction module is used for preprocessing the voice received by the voice extraction module;
the voice correction unit is used for preliminarily arranging and converging words for the voice processed by the noise reduction unit;
the voice comparison module is used for comparing and checking the voice uploaded by the voice correction unit with the data of the voice entry library;
the voice entry is used for storing word data and providing a data source for the voice comparison module;
the language forming unit is used for splicing the voice words and sentences compared by the voice comparison module to form an effective system command;
the decision feedback module is used for feeding back the system command read by the voice forming unit to an operator to confirm whether to execute the system command;
the system execution unit is used for executing the voice command determined by the decision feedback module;
the storage module is used for recording and backing up the operation flow executed by the system execution unit;
the execution feedback unit is used for informing an operator of the result of the execution of the system execution unit.
2. The voice recognition device for the tablet computer according to claim 1, wherein: the information organization unit comprises an audio receiving unit, a feature extraction unit, a network word and sentence library, a word comparison module, a language organization unit and an audio output unit.
3. The voice recognition device for the tablet computer according to claim 2, wherein: the specific processing steps of the voice correction unit end are as follows:
the method comprises the following steps: the audio receiving unit receives the voice processed by the noise reduction processing unit, is used as transmission connection between the noise reduction processing unit and the voice correction unit, and simultaneously transmits the received voice data to the feature extraction module;
step two: the feature extraction module is used for screening words and phrases from the voice received by the audio receiving unit, and respectively transmitting the screened words and phrases to the word and phrase comparison module for comparison and correction;
step three: the network sentence library acquires a correct word data source on the Internet, is connected with the external Internet, acquires correct words from the network and finally transmits the data to the word comparison module;
step four: the word comparison module compares the network word and sentence library with the feature extraction and extracts correct words and sentences, and the word comparison module can respectively receive word data transmitted by the feature extraction unit and the network word and sentence library and correct wrong words and phrases in the voice after respective comparison;
step five: the language organization unit combines the words after the words are compared and corrected by the word comparison module to form effective word and sentence audio, and can receive the words corrected by the word comparison module and then correctly organize the words into sentences;
step six: the audio output unit transmits the words and sentence audio made by the language organization system, and can receive the final sentences formed by the language organization unit and transmit the sentence data.
4. The voice recognition device for the tablet computer according to claim 1, wherein: the noise reduction processing unit comprises a voice input unit, an effect demagnetization unit, a word and sentence elimination unit, a word and sentence composition module and a voice output unit, the voice input unit is used for receiving voice transmitted by the language extraction module, the sound effect demagnetization unit is used for weakening background noise in the voice received by the voice input unit, the word and sentence elimination unit is used for playing back words in the voice received by the language input unit clearly, the word and sentence composition module is used for combining the voice processed by the sound effect processing unit and the word and sentence processing unit into sentences, and the language output unit is used for transmitting the language manufactured by the word and sentence composition module.
5. The voice recognition device for the tablet computer according to claim 4, wherein: the voice extraction module comprises a voice receiving unit, a background voice screening unit and a word and sentence screening unit, the voice receiving unit is used for receiving voice received by the voice signal receiver, the background voice screening unit is used for screening and storing environmental voice in the voice received by the voice receiving unit, and the word and sentence screening unit is used for screening and storing words and sentences in the voice received by the voice receiving unit.
6. The voice recognition device for the tablet computer according to claim 4, wherein: the voice comparison module comprises a data receiving unit, a data comparison module and a data transmission unit, the data receiving unit is used for respectively receiving data from the voice correction unit and the voice entry library, the data comparison module is used for comparing and forming word and sentence data received by the data receiving unit, and the data transmission unit is used for transmitting voice formed after the data comparison device is compared.
7. The voice recognition device for the tablet computer according to claim 1, wherein: the system execution unit comprises a system command receiving unit, an operation execution unit, a command correction module and an execution information reaction module, wherein the system command receiving unit is used for receiving the voice command determined to be executed by the decision feedback module, the operation command correction module is used for judging whether the operation command is correct or not to be executed, the operation execution unit is used for executing the operation command received by the system command receiving unit, and the execution information reaction module is used for transmitting result data of the operation executed by the operation execution unit.
8. The voice recognition device for the tablet computer according to claim 7, wherein: the specific processing steps of the system execution unit are as follows:
s1: firstly, a system command receiving unit receives a voice command determined and executed by a decision feedback module, and the voice command is used as a connection transmission unit to transmit a language command to an operation command correction module;
s2: the operation command correction module judges whether the operation command is correct or not, judges whether hidden danger exists in the operation command or not and uploads an operation record to the storage module;
s3: the operation execution unit executes the operation command received by the system command receiving unit, and can upload the progress to the execution reaction module in real time in the execution process;
s4: the execution information reaction module transmits result data of the operation executed by the operation execution unit and uploads the execution result to the execution feedback unit.
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| CN202011515563.6A CN112489624A (en) | 2020-12-21 | 2020-12-21 | Voice recognition device for tablet computer |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113298994A (en) * | 2021-05-27 | 2021-08-24 | 武汉楚冠信息科技有限公司 | Language identification intercom system for access control card reader |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113298994A (en) * | 2021-05-27 | 2021-08-24 | 武汉楚冠信息科技有限公司 | Language identification intercom system for access control card reader |
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Application publication date: 20210312 |