Voice recognition control system of electric scooter

Abstract

The utility model discloses a voice recognition control system of an electric scooter, which comprises a voice acquisition module used for acquiring voice command information of a user, converting the voice command information into voice signals and sending the voice signals to a preprocessing module; the preprocessing module is used for processing the collected voice signals and then sending the voice signals to the feature extraction module; the feature extraction module is used for extracting feature information in the processed voice signals and converting the voice signals into feature vectors; the voice recognition module is used for recognizing the feature vector and generating a control instruction according to the feature vector; the control execution module is used for controlling and executing the control instruction; the control execution module is connected with the output end of the voice recognition module and communicates with the main control chip, and the preprocessing module is connected with the output end of the voice acquisition module; the feature extraction module is connected with the output end of the preprocessing module and the input end of the voice recognition module; according to the utility model, the interaction experience of the scooter user is improved.

Description

Technical Field

[0001] This utility model relates to the field of voice control technology, and in particular to a voice recognition control system for electric scooters. Background Technology

[0002] Electric scooters, as a new type of urban transportation tool, have received widespread attention and application in recent years due to their convenience, environmental friendliness, and suitability for fast-paced lifestyles.

[0003] Existing electric scooter control systems typically include locks, ignition switches, and hub motors, operated by users via keys or buttons. However, these methods may lack intelligence and convenience. Voice recognition technology offers a new interaction method for electric scooters, allowing users to control them with voice commands. This improves operational convenience and potentially enhances driving safety. While voice recognition technology is widely used in other fields, its application in electric scooter control systems is still in its early stages. Existing technologies generally suffer from low recognition accuracy, poor environmental adaptability, and unsatisfactory user experience. However, with the development of artificial intelligence and machine learning technologies, the accuracy and intelligence of voice recognition are continuously improving, providing a technological foundation for innovation in electric scooter control systems. Furthermore, when designing a voice recognition control system for electric scooters, safety and regulatory requirements must be considered to ensure that the system provides convenience without increasing usage risks. Summary of the Invention

[0004] To address the common problems of low recognition accuracy, poor environmental adaptability, and unsatisfactory user experience in existing electric scooter control systems, this invention provides a voice recognition control system for electric scooters, which can improve the riding experience for electric scooter users. This invention achieves this through the following technical solution.

[0005] A voice recognition control system for electric scooters, the system comprising:

[0006] The voice acquisition module includes a microphone for real-time acquisition of user voice command information; the voice acquisition module, preprocessing module, feature extraction module, voice recognition module, and control execution module are connected in sequence; the control execution module is connected to the output terminal of the voice recognition module and communicates with the main control chip through a serial port for controlling the execution of control commands;

[0007] The preprocessing module is connected to the output of the voice acquisition module; the feature extraction module is connected to the output of the preprocessing module and the input of the voice recognition module.

[0008] Furthermore, the voice acquisition module includes at least one high-sensitivity microphone.

[0009] Furthermore, the microphone is mounted on the handlebars or front pole of the electric scooter.

[0010] Furthermore, the system also includes a feedback module, which is connected to the output of the control execution module and is used to provide operation feedback or prompts to the user.

[0011] Furthermore, the feedback module includes a speech synthesizer and a display screen, providing feedback via voice or image.

[0012] Furthermore, the system also includes a wireless transmission module, which is connected to the input of the control execution module and is used for external devices to interact with the voice recognition control system of the electric scooter.

[0013] Furthermore, the wireless transmission module includes Bluetooth and / or Wi-Fi.

[0014] Furthermore, it also includes a lighting module, which is connected to the output of the control execution module and installed at the front and rear of the electric scooter.

[0015] The present invention adopts the above technical solution and has the following beneficial effects:

[0016] This invention mounts a microphone on the handlebars or front pole of an electric scooter, allowing the user to receive voice commands more directly while riding. The system can respond quickly, reducing voice signal attenuation and recognition difficulties caused by excessive distance, and greatly improving the interactive experience and convenience for electric scooter users. Attached Figure Description

[0017] Figure 1 This is an overall architecture diagram of the voice recognition control system for an electric scooter according to an embodiment of the present invention. Detailed Implementation

[0018] The present invention will now be described in further detail with reference to the accompanying drawings and specific embodiments.

[0019] This embodiment provides a voice recognition control system for electric scooters, which can improve the accuracy of voice recognition technology in electric scooter control systems and enhance the user experience. (See also...) Figure 1 , Figure 1 This is an overall architecture diagram of the electric scooter voice recognition control system according to an embodiment of the present invention. The electric scooter voice recognition control system of the present invention includes:

[0020] The voice acquisition module is used to acquire the user's voice command information in real time and convert the voice command information into a voice signal and send it to the preprocessing module; the voice module includes at least one high-sensitivity microphone, which can be installed on the handlebars or body of the electric scooter.

[0021] The preprocessing module is used to perform noise reduction, enhancement, and normalization on the acquired speech signal, and then send the processed speech signal to the feature extraction module. The preprocessing module uses spectral subtraction or deep learning noise reduction techniques to perform noise reduction on the speech signal.

[0022] The feature extraction module is used to extract feature information from the processed speech signal and convert the speech signal into a feature vector.

[0023] The speech recognition module is used to identify feature vectors and generate control commands based on the feature vectors. The speech recognition module also includes a vocabulary module and a sample module. The sample module includes at least two speech sample libraries, which are used to train and store the user's voice model and a training language model. The validity of the commands is determined by matching the acoustic model, language model, and vocabulary module with the feature vectors of the speech signal. The speech recognition module uses the LD3320, a high-performance speech recognition chip that integrates a speech recognition processor and some external circuits, including AD / DA converters, a microphone interface, and a sound output interface.

[0024] A control execution module is connected to the output of the voice recognition module and communicates with the main control chip via a serial port to control and execute control commands.

[0025] The preprocessing module is connected to the output of the voice acquisition module; the feature extraction module is connected to the output of the preprocessing module and the input of the voice recognition module.

[0026] This embodiment of the system also includes a feedback module, a wireless transmission module, and a lighting module. The feedback module, wireless transmission module, and lighting module are all connected to the control execution module. The feedback module includes a speech synthesizer and a display screen, which can provide feedback through voice or image. The wireless transmission module includes Bluetooth and WIFI, which are used for interaction between the system and external devices. The lighting module is installed at the front and rear of the electric scooter to provide lighting.

[0027] The working steps of this utility model system include:

[0028] S1 connects the voice recognition module to the instrument MUC to ensure that the data transmission lines are correct and that all components can obtain power from the power module.

[0029] S2, System Initialization: When the electric scooter is started, the voice recognition control system performs a self-test and initializes the voice recognition module, including loading the preset voice feature template and starting the microphone.

[0030] S3, User Registration and Learning: When a user uses the system for the first time, the system prompts the user to register. By reading a set of preset sentences, the system's voice sample library records and learns the user's voice characteristics to build the user's voice model.

[0031] S4, Voice Command Acquisition: Users can issue voice commands during riding, such as "accelerate," "decelerate," "turn on headlights," etc., and the microphone captures the user's voice signal in real time.

[0032] S5, Speech signal preprocessing: The preprocessing module performs noise reduction, enhancement and normalization on the received speech signal to improve recognition accuracy.

[0033] S6, Feature Extraction and Matching: The feature extraction module extracts feature vectors from the speech signal and matches them with the sound model learned during user registration using the speech recognition module to determine the validity of the command.

[0034] S7, Execute control command: After the voice recognition module confirms the command, it transmits the command to the control execution module. The control execution module sends the corresponding control signal to the main control chip through serial communication based on the recognition result. The main control chip executes the command information, such as motor controller, lighting system, etc.

[0035] S8, Feedback and Adjustment: After an operation is performed, the system provides feedback to the user via voice or display screen and makes intelligent adjustments based on the user's actual usage.

[0036] This utility model patent document provides a comprehensive technical solution, covering multiple key aspects and potential application scenarios of the voice recognition control system for electric scooters. These embodiments demonstrate practicality and innovation, bringing a more intelligent and personalized riding experience to electric scooter users.

[0037] The above description is merely a preferred embodiment of this utility model, but the specific embodiments described herein are only for explaining this utility model and are not intended to limit this utility model. Any simple modifications, equivalent changes, and alterations made by those skilled in the art to the above embodiments based on the technical essence of this utility model without departing from the principles and spirit of this utility model should be included within the protection scope of this utility model.

Claims

1. An electric kick scooter voice recognition control system, characterized in that, The system comprises: The voice acquisition module includes a microphone for acquiring the user's voice instruction information in real time; the voice acquisition module, the preprocessing module, the feature extraction module, the voice recognition module, and the control execution module are connected in sequence; the control execution module is connected with the output end of the voice recognition module and communicates with the main control chip through a serial port, and is used for controlling the execution of the control instruction; The preprocessing module is connected with the output end of the voice acquisition module; the feature extraction module is connected with the output end of the preprocessing module and the input end of the voice recognition module.

2. The voice recognition control system of the electric kick-scooter according to claim 1, characterized in that, The voice acquisition module includes at least one high-sensitivity microphone.

3. The voice recognition control system of the electric kick-scooter according to claim 2, characterized in that, The microphone is installed on the handlebar or the front rod of the body of the electric scooter.

4. The voice recognition control system of the electric kick-scooter according to claim 1, characterized in that, It also includes a feedback module connected with the output end of the control execution module, which is used to provide operation feedback or prompt to the user.

5. The voice recognition control system of the electric kick-scooter according to claim 4, characterized in that, The feedback module includes a voice synthesizer and a display screen, which provides feedback through voice or picture.

6. The voice recognition control system of the electric kick-scooter according to claim 1, characterized in that, It also includes a wireless transmission module connected with the input end of the control execution module, which is used for the interaction between the external device and the electric scooter voice recognition control system.

7. The voice recognition control system of the electric kick-scooter according to claim 6, characterized in that, The wireless transmission module includes Bluetooth and / or WIFI.

8. The voice recognition control system of the electric kick-scooter according to claim 1, characterized in that, It also includes an illumination module connected with the output end of the control execution module, which is installed on the head and tail of the electric scooter.

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