Legal document generation system based on intelligent voice recognition

Abstract

The invention discloses a legal document generation system based on intelligent voice recognition. The system comprises a voice recognition module, a natural language processing module, a template matching module, a document generation module and a user interaction module. The output end of the voice recognition module is electrically connected with the input end of a natural language processing module, and the output end of the natural language processing module is electrically connected with the input end of a template matching module. According to the legal instrument generation system based on smart voice recognition, the system realizes an automatic process from voice input to legal instrument generation through smart voice recognition and natural language processing technologies. A user only needs to input related information through a voice instruction, and the system can automatically complete text conversion and processing and legal instrument generation, so that the time and energy required by legal practitioners for writing legal instruments are greatly saved, and the working efficiency is remarkably improved.

Description

Technical Field

[0001] The present invention relates to the field of speech recognition technology, and in particular to a legal document generation system based on intelligent speech recognition. Background Art

[0002] With the rapid development of digitalization and intelligence, the legal industry is undergoing unprecedented changes. The traditional legal document writing process is cumbersome and time-consuming, which not only affects work efficiency, but may also lead to errors or omissions due to human factors. Therefore, it is particularly important to develop a legal document generation system based on intelligent voice recognition.

[0003] At present, there are some legal document generation tools on the market, but most of these tools rely on manual input or template filling, which cannot fully meet the actual needs of legal workers. At the same time, with the continuous development of artificial intelligence technology, speech recognition and natural language processing technology have gradually matured, making it possible to automatically generate legal documents. In this regard, we propose a legal document generation system based on intelligent speech recognition to solve the above problems. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides a legal document generation system based on intelligent voice recognition, which solves the problems raised in the background technology.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: a legal document generation system based on intelligent voice recognition, including a voice recognition module, a natural language processing module, a template matching module, a document generation module, and a user interaction module;

[0006] The output end of the speech recognition module is electrically connected to the input end of the natural language processing module, the output end of the natural language processing module is electrically connected to the input end of the template matching module, the output end of the template matching module is electrically connected to the input end of the document generation module, and the output end of the document generation module is electrically connected to the input end of the user interaction module.

[0007] Preferably, the speech recognition module includes an audio acquisition unit, an audio preprocessing unit, a feature extraction unit, and a speech recognition unit. The audio acquisition unit is used to acquire the user's voice input; the audio preprocessing unit is used to perform denoising and echo cancellation preprocessing operations on the acquired speech signal; the feature extraction unit is used to extract feature parameters for recognition from the preprocessed speech signal; and the speech recognition unit is used to convert the extracted feature parameters into corresponding text information.

[0008] Preferably, the natural language processing module includes a word segmentation and part-of-speech tagging unit, a syntactic analysis unit, and a semantic understanding unit. The word segmentation and part-of-speech tagging unit is used to segment the text and mark the part of speech of each word. The syntactic analysis unit is used to construct a dependency tree of the sentence to analyze the syntactic structure of the sentence. The semantic understanding unit is used to parse the legal terms and concepts in the text and extract the key information required for the legal document.

[0009] Preferably, the template matching module includes a template library management unit, a template retrieval unit, and a template customization unit. The template library management unit is used to manage and maintain the legal document template library, the template retrieval unit is used to perform retrieval and matching operations in the template library based on key information, and the template customization unit supports users to customize template content and save it to the template library.

[0010] Preferably, the document generation module includes a data filling unit, a format adjustment unit, and a proofreading and review unit. The data filling unit is used to fill key information into the corresponding position in the matched template, the format adjustment unit is used to adjust the format of the filled text to meet the standard requirements of the legal document, and the proofreading and review unit is used to automatically proofread and review the generated document to discover and correct possible errors or omissions.

[0011] Preferably, the user interaction module includes a voice input interface unit, a text display interface unit, and an operation prompt and feedback unit. The voice input interface unit provides a voice input interface to support users to input legal document contents through voice commands. The text display interface unit displays the results of voice recognition, text processing and document generation in real time. The operation prompt and feedback unit provides necessary operation prompts and feedback information to help users better use the system.

[0012] Preferably, the speech recognition module is used to receive the user's voice input and convert the voice input into text information, the natural language processing module is used to perform word segmentation, part-of-speech tagging, syntactic analysis and semantic understanding on the text information to extract key information required for the legal document, and the template matching module is used to retrieve and match the corresponding template in a preset legal document template library according to the key information.

[0013] Preferably, the document generation module is used to merge the matched template with the key information to generate a complete legal document, and the user interaction module is used to provide an interactive interface between the user and the system, including a voice input interface, a text display interface, and operation prompts and feedback functions.

[0014] Beneficial Effects

[0015] The present invention provides a legal document generation system based on intelligent voice recognition. Compared with the prior art, it has the following beneficial effects:

[0016] (1) The system uses intelligent voice recognition and natural language processing technology to achieve an automated process from voice input to legal document generation. Users only need to input relevant information through voice commands, and the system can automatically complete text conversion, processing, and legal document generation, greatly saving the time and energy required by legal practitioners in writing legal documents and significantly improving work efficiency.

[0017] (2) The system uses advanced natural language processing algorithms and template matching technology to accurately extract key information from user voices and find the most matching template in the preset legal document template library for filling. At the same time, the system also has automatic proofreading and review functions, which can detect and correct errors or omissions in documents, ensuring that the generated legal documents not only meet legal requirements, but also have high accuracy and standardization.

[0018] (3) The system provides an intuitive and easy-to-use user interface that supports users to input legal document content through voice commands and displays the processing results and generated legal documents in real time. In addition, the system also supports users to customize template content to meet personalized needs. These functions not only improve the user's convenience, but also enhance the user's sense of participation and satisfaction, and improve the overall user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 is a system block diagram of the present invention;

[0020] Figure 2 is a schematic diagram of a speech recognition module of the present invention;

[0021] Figure 3 is a schematic diagram of a natural language processing module of the present invention;

[0022] Figure 4 It is a schematic diagram of a template matching module of the present invention;

[0023] Figure 5 This is a schematic diagram of a document generation module of the present invention;

[0024] Figure 6 It is a schematic diagram of the user interaction module of the present invention.

[0025] In the figure: 01, speech recognition module; 02, natural language processing module; 03, template matching module; 04, document generation module; 05, user interaction module; 011, audio acquisition unit; 012, audio preprocessing unit; 013, feature extraction unit; 014, speech recognition unit; 021, word segmentation and part-of-speech tagging unit; 022, syntactic analysis unit; 023, semantic understanding unit; 031, template library management unit; 032, template retrieval unit; 033, template customization unit; 041, data filling unit; 042, format adjustment unit; 043, proofreading and review unit; 051, speech input interface unit; 052, text display interface unit; 053, operation prompt and feedback unit. DETAILED DESCRIPTION

[0026] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0027] The present invention provides three technical solutions, including the following embodiments:

[0028] Example 1

[0029] See also Figure 1 , the legal document generation system based on intelligent voice recognition includes a voice recognition module 01, a natural language processing module 02, a template matching module 03, a document generation module 04, and a user interaction module 05. The voice recognition module 02 is the core input end of the system and is responsible for converting the user's voice input into text information. This module adopts advanced voice recognition technology and can accurately recognize the user's voice instructions and the content of the legal document, providing a basis for subsequent text processing. The natural language processing module 02 is responsible for further processing the text information output by the voice recognition module, including grammatical analysis, semantic understanding, etc., to extract the key information required for the legal document. The template matching module 03 is responsible for searching and matching the corresponding legal document template in the system according to the key information extracted by the natural language processing module. The document generation module 03 is the core output end of the system and is responsible for fusing the template selected by the template matching module with the key information extracted by the natural language processing module to generate a complete legal document. The user interaction module 05 is responsible for information interaction between the system and the user, including voice input, text display, operation prompts, etc.;

[0030] The output end of the speech recognition module 01 is electrically connected to the input end of the natural language processing module 02, the output end of the natural language processing module 02 is electrically connected to the input end of the template matching module 03, and the output end of the template matching module 03 is electrically connected to the input end of the document generation module 04. The output end of the document generation module 04 is electrically connected to the input end of the user interaction module 05.

[0031] The speech recognition module 01 is used to receive the user's speech input and convert the speech input into text information. The natural language processing module 02 is used to perform word segmentation, part-of-speech tagging, syntactic analysis and semantic understanding on the text information to extract the key information required for the legal document. The template matching module 03 is used to retrieve and match the corresponding template in the preset legal document template library according to the key information.

[0032] The document generation module 04 is used to integrate the matched template with key information to generate a complete legal document. The user interaction module 05 is used to provide an interactive interface between the user and the system, including a voice input interface, a text display interface, and operation prompts and feedback functions.

[0033] Example 2

[0034] Based on Example 1, see Figure 2-Figure 4 As shown, the speech recognition module 01 includes an audio acquisition unit 011, an audio preprocessing unit 012, a feature extraction unit 013, and a speech recognition unit 014. The audio acquisition unit 011 is used to collect the user's speech input, the audio preprocessing unit is used to perform denoising and echo cancellation preprocessing operations on the collected speech signal, the feature extraction unit 013 is used to extract feature parameters for recognition from the preprocessed speech signal, the speech recognition unit 014 is used to convert the extracted feature parameters into corresponding text information, and the audio preprocessing unit 012 is responsible for performing denoising, echo cancellation and other preprocessing operations on the collected speech signal. In specific implementation, a digital signal processing algorithm (such as FFT, wavelet transform, etc.) can be used to filter the speech signal to improve the signal-to-noise ratio and clarity of the speech signal, and the feature extraction unit 013 is responsible for extracting feature parameters for recognition from the preprocessed speech signal. In specific implementation, feature extraction algorithms such as MFCC can be used to perform feature analysis on speech signals, and representative feature vectors can be extracted as input for subsequent recognition. The speech recognition unit 014 is the core unit of the speech recognition module, responsible for converting the extracted feature vectors into corresponding text information. In specific implementation, deep learning models (such as RNN, LSTM, etc.) can be used to identify and decode feature vectors. In order to improve the recognition accuracy, technical means such as multi-model fusion and context information utilization can also be used for optimization.

[0035] The natural language processing module 02 includes a word segmentation and part-of-speech tagging unit 021, a syntactic analysis unit 022, and a semantic understanding unit 023. The word segmentation and part-of-speech tagging unit 021 is used to segment the text and mark the part of speech of each word. The syntactic analysis unit 022 is used to build a dependency tree of sentences to analyze the syntactic structure of sentences. The semantic understanding unit 023 is used to parse legal terms and concepts in the text and extract key information required for legal documents. The word segmentation and part-of-speech tagging unit 021 is responsible for segmenting the text and marking the part of speech of each word. In specific implementation, a dictionary-based word segmentation algorithm or a statistical-based word segmentation algorithm can be used for word segmentation; at the same time, a part-of-speech tagging tool is used to perform part-of-speech tagging operations on the word segmentation results. In order to improve the tagging accuracy, targeted optimization can also be performed in combination with the legal knowledge base. The syntactic analysis unit 022 is responsible for building a dependency tree of sentences to analyze the syntactic structure of sentences. In specific implementation, a rule-based or statistical-based syntactic analysis algorithm can be used to perform syntactic analysis on the text; at the same time, the analysis results can be verified and corrected in combination with the legal knowledge base to ensure the accuracy of the analysis. The semantic understanding unit 023 is responsible for parsing and understanding the legal terms and concepts in the text to extract key information. In specific implementation, the text can be semantically analyzed in combination with the legal knowledge base and semantic role labeling technology; at the same time, the analysis results can be further processed using natural language processing technology to extract key information required for legal documents (such as party information, case facts, etc.).

[0036] The template matching module 03 includes a template library management unit 031, a template retrieval unit 032, and a template customization unit 033. The template library management unit 031 is used to manage and maintain the legal document template library. The template retrieval unit 032 is used to perform retrieval and matching operations in the template library based on key information. The template customization unit 033 supports users to customize template content and save it to the template library. The template library management unit 031 is responsible for managing and maintaining the legal document template library in the system. In specific implementation, database technology or file system technology can be used to store and manage the template library; at the same time, operation interfaces such as template addition, deletion, and modification are provided to support users' customized operations on the template library. The template retrieval unit 032 is responsible for fast retrieval and matching operations in the template library based on the key information extracted by the natural language processing module. In specific implementation, full-text retrieval technology or keyword-based retrieval algorithms can be used to search the template library; at the same time, the retrieval results are sorted and screened in combination with the legal knowledge base to select the template that best meets user needs. The template customization unit 033 supports users to customize template content according to actual needs and save it to the template library for subsequent use. In specific implementation, a visual editing interface can be provided for users to input template content and set related parameters (such as placeholders, format requirements, etc.); at the same time, a save and export operation interface is provided to support users to save customized templates to the template library or export them to other platforms for use.

[0037] Example 3

[0038] Based on Example 2, see Figure 5-Figure 6 As shown, the document generation module 04 includes a data filling unit 041, a format adjustment unit 042, and a proofreading and review unit 043. The data filling unit 041 is used to fill the key information into the corresponding position in the matched template, the format adjustment unit 042 is used to adjust the format of the filled text to meet the standard requirements of the legal document, and the proofreading and review unit 043 is used to automatically proofread and review the generated document to find and correct possible errors or omissions. The data filling unit 041 is responsible for filling the key information extracted by the natural language processing module into the corresponding position in the template to generate a preliminary draft of the legal document. In specific implementation, the template engine technology or string replacement technology can be used to fill the template; at the same time, data verification and formatting processing functions are provided to ensure the accuracy and standardization of the filled data, and the format adjustment unit 042 is responsible for formatting the filled text to meet the standard requirements of the legal document. In specific implementation, the document processing library (such as Microsoft Office automation, PDF processing, etc.) can be used to adjust the format of the text; at the same time, a variety of preset format templates are provided for users to choose to meet the needs of different scenarios. The proofreading and review unit 043 is responsible for automatically proofreading and reviewing the generated documents to find and correct possible errors or omissions. In specific implementation, natural language processing technology can be used to perform grammar checking, semantic analysis and other operations on the text to find potential errors; at the same time, the review results are further verified in combination with the legal knowledge base to ensure the compliance and accuracy of the documents.

[0039] The user interaction module 05 includes a voice input interface unit 051, a text display interface unit 052, and an operation prompt and feedback unit 053. The voice input interface unit 051 provides a voice input interface to support users to input the content of legal documents through voice commands. The text display interface unit 052 displays the results of voice recognition, text processing and document generation in real time. The operation prompt and feedback unit 053 provides necessary operation prompts and feedback information to help users better use the system.

[0040] Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0041] The embodiments of the invention are described in detail above, but the contents are only preferred embodiments of the invention and cannot be considered to limit the scope of implementation of the invention. All equivalent changes and improvements made within the scope of the invention should still fall within the scope of the invention.

Claims

1. The legal document generation system based on intelligent speech recognition is characterized by: It includes a speech recognition module (01), a natural language processing module (02), a template matching module (03), a document generation module (04), and a user interaction module (05); The output end of the speech recognition module (01) is electrically connected to the input end of the natural language processing module (02), the output end of the natural language processing module (02) is electrically connected to the input end of the template matching module (03), the output end of the template matching module (03) is electrically connected to the input end of the document generation module (04), and the output end of the document generation module (04) is electrically connected to the input end of the user interaction module (05).

2. The legal document generation system based on intelligent voice recognition according to claim 1 is characterized by: The speech recognition module (01) comprises an audio collection unit (011), an audio preprocessing unit (012), a feature extraction unit (013), and a speech recognition unit (014); the audio collection unit (011) is used to collect the user's speech input; the audio preprocessing unit is used to perform denoising and echo cancellation preprocessing operations on the collected speech signal; the feature extraction unit (013) is used to extract feature parameters for recognition from the preprocessed speech signal; and the speech recognition unit (014) is used to convert the extracted feature parameters into corresponding text information.

3. The legal document generation system based on intelligent voice recognition according to claim 1 is characterized by: The natural language processing module (02) comprises a word segmentation and part-of-speech tagging unit (021), a syntactic analysis unit (022), and a semantic understanding unit (023). The word segmentation and part-of-speech tagging unit (021) is used to segment the text and mark the part of speech of each word. The syntactic analysis unit (022) is used to construct a dependency tree of sentences to analyze the syntactic structure of the sentences. The semantic understanding unit (023) is used to parse the legal terms and concepts in the text and extract the key information required for the legal document.

4. The legal document generation system based on intelligent voice recognition according to claim 1 is characterized by: The template matching module (03) includes a template library management unit (031), a template retrieval unit (032), and a template customization unit (033). The template library management unit (031) is used to manage and maintain the legal document template library. The template retrieval unit (032) is used to perform retrieval and matching operations in the template library based on key information. The template customization unit (033) supports users to customize template content and save it to the template library.

5. The legal document generation system based on intelligent voice recognition according to claim 1 is characterized by: The document generation module (04) includes a data filling unit (041), a format adjustment unit (042), and a proofreading and review unit (043). The data filling unit (041) is used to fill key information into the corresponding position in the matched template, the format adjustment unit (042) is used to adjust the format of the filled text to meet the standard requirements of the legal document, and the proofreading and review unit (043) is used to automatically proofread and review the generated document to discover and correct possible errors or omissions.

6. The legal document generation system based on intelligent voice recognition according to claim 1 is characterized by: The user interaction module (05) includes a voice input interface unit (051), a text display interface unit (052), and an operation prompt and feedback unit (053). The voice input interface unit (051) provides a voice input interface to support users to input the content of legal documents through voice commands. The text display interface unit (052) displays the results of voice recognition, text processing and document generation in real time. The operation prompt and feedback unit (053) provides necessary operation prompts and feedback information to help users better use the system.

7. The legal document generation system based on intelligent voice recognition according to claim 1 is characterized by: The speech recognition module (01) is used to receive the user's speech input and convert the speech input into text information, the natural language processing module (02) is used to perform word segmentation, part-of-speech tagging, syntactic analysis and semantic understanding on the text information to extract key information required for the legal document, and the template matching module (03) is used to retrieve and match the corresponding template in a preset legal document template library according to the key information.

8. The legal document generation system based on intelligent voice recognition according to claim 1 is characterized by: The document generation module (04) is used to merge the matched template with the key information to generate a complete legal document, and the user interaction module (05) is used to provide an interactive interface between the user and the system, including a voice input interface, a text display interface, and operation prompts and feedback functions.

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