Artificial intelligence voice authentication and voice control system
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-13
- Publication Date
- 2026-07-14
Smart Images
Figure CN122392503A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to an artificial intelligence voice authentication and voice control system, and more particularly to an artificial intelligence voice authentication and voice control system for the Matter central control system. Background Technology
[0002] The goal of the Matter protocol is to simplify development costs for smart home device manufacturers and improve product compatibility. Matter is designed with information security in mind for the Internet of Things (IoT) architecture, making it safer for consumers and significantly enhancing personal privacy.
[0003] Once Matter specifications become the mainstream standard for device manufacturers, a "Matthew effect" will emerge, resulting in a winner-takes-all outcome. For consumers, this means more product options in the future. Whenever new device needs arise, choosing Matter-certified products will ensure compatibility with existing smart home systems, providing the convenience of highly customized, low-cost system expansion, without worrying about their original systems becoming obsolete.
[0004] Traditionally, closed smart home systems require a dedicated central hub, which is usually the main reason for the high cost of building a smart home system. With Matter's standardization, more and more Wi-Fi routers that support the Thread protocol will be launched and popularized in the future. When most home Wi-Fi systems support the Thread protocol, the cost of building a dedicated smart home central hub will disappear, which will reduce the overall system construction cost for consumers.
[0005] As the Matter ecosystem continues to develop and defines common specifications for IoT products, consumers can expect that more software and hardware companies will be willing to develop higher-quality, more integrated devices and services. For example, voice control systems can choose Alexa, Siri, Google Assistant, etc., and end-device users can also choose products from brands they like and that are reasonably priced, without being tied to a single system or limited to a single platform.
[0006] However, when using the Matter central control system for voice control, it is impossible to determine whether the voice source is a user on the whitelist, nor can it determine the user's emotional state. The Matter central control system may generate control signals based on voice control when the wrong user is being used or when the user is being coerced. To avoid this situation, an artificial intelligence voice authentication and voice control system is needed. Summary of the Invention
[0007] Therefore, the purpose of this invention is to provide an artificial intelligence voice authentication and voice control system that can determine whether a user is an authenticated user and whether the user has a stable emotion, thereby making the Matter central control system more secure.
[0008] Embodiments of the present invention provide an artificial intelligence voice authentication system, comprising:
[0009] A client device used to receive input voice signals;
[0010] An artificial intelligence filter, coupled to the client device, is used to determine whether the input voice signal meets predetermined conditions; and
[0011] The Matter central control system, coupled to the artificial intelligence filter, generates a control signal based on the input voice signal when the input voice signal meets the predetermined conditions.
[0012] Preferably, the predetermined conditions include the user having stable emotions and the user being a certified user.
[0013] Preferably, the Matter central control system includes at least one of the following: a smart streaming media device that supports the Matter protocol, a smart home hub, a network device, and a smart mobile device.
[0014] Preferably, the artificial intelligence filter is based on convolutional neural networks, recurrent neural networks, long short-term memory models, or neural network-like systems.
[0015] Preferably, it further includes:
[0016] Wearable devices used to detect sense of unity signals;
[0017] The artificial intelligence filter is used to determine whether the haptic signal and the input voice signal meet the predetermined conditions.
[0018] More preferably, the somatosensory signal includes at least one of body temperature signal, heartbeat signal, and sweating signal.
[0019] More preferably, the artificial intelligence filter is located in a cloud system.
[0020] An embodiment of the present invention further provides an artificial intelligence voice control system, including the above-described voice authentication system; and
[0021] Peripheral devices, coupled to the Matter central control system of the voice authentication system, are used to generate actions based on control signals generated by the Matter central control system.
[0022] Preferably, the peripheral device includes at least one of a smart light bulb, a smart speaker, a smart TV, an air conditioner, a smart refrigerator, and a smart projector.
[0023] Preferably, the action includes at least one of turning on the switch, turning off the switch, increasing the volume, decreasing the volume, increasing the temperature, decreasing the temperature, and playing.
[0024] Compared with existing technologies, embodiments of the present invention provide an artificial intelligence voice authentication and voice control system. The voice authentication system includes a client device, an artificial intelligence filter, and a Matter central control system. The client device receives input voice signals. The artificial intelligence filter is coupled to the client device and determines whether the input voice signal meets predetermined conditions. The Matter central control system is coupled to the artificial intelligence filter and generates a control signal based on the input voice signal when the input voice signal meets the predetermined conditions. The voice authentication system includes the voice authentication system and peripheral devices, which are coupled to the Matter central control system and generate actions based on the control signal. Attached Figure Description
[0025] Figure 1 This is a block diagram of an artificial intelligence voice control system in one embodiment.
[0026] Figure 2 This is a block diagram of an artificial intelligence voice control system in another embodiment. Detailed Implementation
[0027] To provide a further understanding of the purpose, structure, features, and functions of the present invention, detailed descriptions are provided below with reference to specific embodiments.
[0028] Certain terms are used in the specification and claims to refer to specific elements. It will be understood by those skilled in the art that manufacturers may use different names to refer to the same element. This specification and claims do not distinguish elements by differences in name, but rather by differences in function. The term "comprising" throughout the specification and claims is an open-ended term and should be interpreted as "comprising but not limited to".
[0029] The ordinal numbers used in the instruction manual, such as "first," "second," and "third," are used to modify components. They do not imply or represent any previous ordinal number of the component, nor do they represent the order of one component with another component, or the order of manufacturing methods. The use of these ordinal numbers is only to make it clear that a component with a certain name can be distinguished from another component with the same name.
[0030] Figure 1This is a block diagram of an AI voice control system 10 in one embodiment. The AI voice control system 10 includes an AI voice authentication system 12 and peripheral devices 106. The AI voice authentication system 12 includes a client device 101, an AI filter 102, and a Matter central control system 104. The client device 101 can be connected to the AI filter 102 wired or wirelessly (via Wi-Fi or Bluetooth). The client device 101 can be a standalone device, such as a microphone, or it can be integrated into the peripheral devices 106. The Matter central control system 104 can be connected to the AI filter 102 and peripheral devices 106 wired or wirelessly (via Wi-Fi or Bluetooth). The client device 101 is used to receive input voice signals, and the AI filter 102 is used to determine whether the input voice signal meets predetermined conditions. In one embodiment, the Matter central control system 104 includes at least one of the Matter controllers, such as smart streaming media devices, smart home hubs, network devices, and smart mobile devices, that support the Matter protocol. In one embodiment, the predetermined conditions include the user having stable emotions and the user being an authenticated user. The Matter central control system 104 generates a control signal based on the input voice signal when the input voice signal meets predetermined conditions. The peripheral device 106 performs an operation based on the control signal generated by the Matter central control system 104. In one embodiment, the peripheral device 106 includes at least one of smart devices such as a smart light bulb, smart speaker, smart TV, air conditioner, smart refrigerator, and smart projector. The operation of the peripheral device 106 includes at least one of executable instructions such as turning on / off a switch, increasing / decreasing volume, increasing / decreasing temperature, and playing. In one embodiment, the artificial intelligence filter 102 is based on at least one of Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM), and Artificial Neural Network (ANN).
[0031] In one embodiment, the artificial intelligence filter 102 is located in a cloud system. This embodiment can offload the artificial intelligence calculations to the artificial intelligence filter 102 in the cloud system for processing. The cloud system is, for example, a server in a data center. The client device 101 only needs to handle the transmission of sound sources and commands, so that the artificial intelligence voice control system 10 has high immediacy. In particular, the Matter central control device in the home environment needs to respond to user commands in real time. By offloading the artificial intelligence calculations to the artificial intelligence filter 102 in the cloud system, the computational burden of the Matter central control device can be reduced, bringing the benefit of immediacy.
[0032] In one embodiment, the Matter central control system 104 authenticates user A, and peripheral devices 106 include an air conditioner and a smart TV. The air conditioner and smart TV can be connected to the Matter central control system 104 via wired (e.g., via Universal Serial Bus (USB)) or wireless (e.g., via Wi-Fi or Bluetooth). When user B emits the sound signal "turn on the air conditioner," client device 101 receives the sound signal and transmits it to AI filter 102. AI filter 102 determines that the sound source is not user A, and therefore filters out the sound signal. The Matter central control system 104 does not generate a control signal. When user A emits the sound signal "turn on the air conditioner" under stress (possibly due to coercion), AI filter 102 determines that the sound source is user A, but the user's emotions are unstable, and therefore filters out the sound signal. The Matter central control system 104 does not generate a control signal. When user A is in a stable mood and gives the voice signal "Turn on the air conditioner," the AI filter 102 determines that the sound source is user A and that the user is emotionally stable. Therefore, the Matter central control system 104 generates a control signal to turn on the air conditioner. When user A is in a stable mood and gives the voice signal "Turn up the air conditioner temperature," the AI filter 102 determines that the sound source is user A and that the user is emotionally stable. Therefore, the Matter central control system 104 generates a control signal to turn up the air conditioner temperature. When user A is in a stable mood and gives the voice signal "Turn down the TV volume," the AI filter 102 determines that the sound source is user A and that the user is emotionally stable. Therefore, the Matter central control system 104 generates a control signal to turn down the volume of the smart TV.
[0033] In one embodiment, the Matter central control system 104 allows multiple users to control the peripheral device 106, and the stable emotions corresponding to the multiple users may have different thresholds. The artificial intelligence filter 102 will determine whether different users have stable emotions based on different thresholds. If a user is allowed to control the peripheral device 106, and it is determined that he or she has stable emotions based on his or her corresponding threshold, then he or she can control the peripheral device 106 through the Matter central control system 104.
[0034] Figure 2This is a block diagram of an AI voice control system 20 in another embodiment. The AI voice control system 20 includes an AI voice authentication system 22 and peripheral devices 106. The AI voice authentication system 22 includes a client device 101, a wearable device 202, an AI filter 102, and a Matter central control system 104. The client device 101 can be connected to the AI filter 102 wired or wirelessly (via Wi-Fi or Bluetooth). The client device 101 can be a standalone device, such as a microphone; it can also be integrated into the wearable device 202 or peripheral devices 106. The wearable device 202 can be connected to the AI filter 102 wired or wirelessly (via Wi-Fi or Bluetooth). In one embodiment, the wearable device 202 can be a smartwatch, smart bracelet, or other similar device; however, the invention is not limited to these. The Matter central control system 104 can be connected to the AI filter 102 and peripheral devices 106 wired or wirelessly (via Wi-Fi or Bluetooth). Wearable device 202 is used to detect body-sensing signals, including at least one of body temperature signals, heart rate signals, and sweat signals (the sweat signal can be calculated by measuring the degree of sweating sensed by a humidity sensor). Client device 101 is used to receive input voice signals, and artificial intelligence filter 102 is used to determine whether the body-sensing signals and input voice signals meet predetermined conditions. In one embodiment, Matter central control system 104 includes at least one of Matter controllers such as smart streaming media devices, smart home hubs, network devices, and smart mobile devices that support the Matter protocol. In one embodiment, the predetermined conditions include the user having stable emotions and the user being an authenticated user. Matter central control system 104 is used to generate a control signal based on the input voice signal when the body-sensing signals and input voice signals meet the predetermined conditions. Peripheral device 106 is used to perform actions based on the control signal generated by Matter central control system 104. In one embodiment, peripheral device 106 includes at least one of smart devices such as smart light bulbs, smart speakers, smart TVs, air conditioners, smart refrigerators, and smart projectors. The operation of the peripheral device 106 includes at least one of the executable instructions such as turning on the switch, turning off the switch, increasing the volume, decreasing the volume, increasing the temperature, decreasing the temperature, and playing. In one embodiment, the artificial intelligence filter 102 is based on at least one of the following: Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM), and Artificial Neural Network (ANN).
[0035] In one embodiment, the AI filter 102 is located in a cloud system. This embodiment allows AI calculations to be processed by the AI filter 102 in the cloud system, such as a data center server. The client device 101 only needs to handle the transmission of sound sources and commands, enabling the AI voice control system 20 to have high immediacy. Especially in the Matter central control device in a home environment, immediate response to user commands is required. Delegating AI calculations to the AI filter 102 in the cloud system can reduce the computational burden on the Matter central control device and bring the benefit of immediate response. In some embodiments, the AI calculation results (whether the user authenticates via voice) can be transmitted back from the cloud to a wearable device (such as a smartwatch), allowing the user to confirm the AI processing results and the status of the peripheral device 106 via the smartwatch. In other embodiments, the AI calculation results (whether the user authenticates via voice) can also be transmitted back from the cloud to the Matter central control system 104 to generate control signals for the peripheral device 106. However, practical applications are not limited to these.
[0036] In one embodiment, the Matter control system 104 authenticates user A, and both users A and B wear wearable devices 202. Peripheral devices 106 include an air conditioner and a smart TV. The air conditioner and smart TV can be connected to the Matter control system 104 via wired (e.g., via Universal Serial Bus (USB)) or wireless (e.g., via Wi-Fi or Bluetooth). When user B emits the voice signal "Turn on the air conditioner," the client device 101 receives the voice signal and transmits it to the AI filter 102. The AI filter 102 determines that the voice source is not user A, and therefore filters out the voice signal. The Matter control system 104 does not generate a control signal. When user A emits the voice signal "Turn on the air conditioner" under stress (possibly due to coercion), the AI filter 102 determines that the voice source is user A based on the haptic signals transmitted from the wearable device 202 and the voice signals transmitted from the client device 101. However, due to unstable emotions, the voice signal is filtered out, and the Matter control system 104 does not generate a control signal. When user A is calm and gives the voice signal "Turn on the air conditioner," the AI filter 102 determines that the sound source is user A and that the user is emotionally stable based on the motion signal transmitted from the wearable device 202 and the voice signal transmitted from the client device 101. Therefore, the Matter central control system 104 generates a control signal to turn on the air conditioner. When user A is calm and gives the voice signal "Turn up the air conditioner temperature," the AI filter 102 determines that the sound source is user A and that the user is emotionally stable based on the motion signal transmitted from the wearable device 202 and the voice signal transmitted from the client device 101. Therefore, the Matter central control system 104 generates a control signal to turn up the air conditioner temperature. When user A is calm and gives the voice signal "Turn down the TV volume," the AI filter 102 determines that the sound source is user A and that the user is emotionally stable based on the motion signal transmitted from the wearable device 202 and the voice signal transmitted from the client device 101. Therefore, the Matter central control system 104 generates a control signal to turn down the volume of the smart TV.
[0037] In one embodiment, during pre-training, voiceprint samples from user A and non-user A (e.g., users B, C, D) need to be collected. Simultaneously, the wearable device 202 collects the user's physiological characteristics, such as body temperature, heart rate, and sweating signals (the sweating signal can be calculated from the degree of sweating sensed by a humidity sensor). After defining the voiceprint and physiological characteristics, a threshold (e.g., 0.9) is determined. Output signals exceeding the threshold represent an authenticated user with stable emotions, while output signals below the threshold represent an unauthenticated user or an unstable emotion. By pre-labeling outputs as 1 (authenticated user with stable emotions) and 0 (unauthenticated user or unstable emotion), the AI filter 102 for user A can be trained. Training continues until input samples from authenticated users with stable emotions consistently produce output signals exceeding the threshold. If input samples from authenticated users with stable emotions produce output signals below the threshold, more samples (e.g., users E, F, G) are collected for further training. In one embodiment, the pre-training threshold can be selected by the user or determined by a training engineer. Pre-training samples can be divided into three categories: training set, testing set, and validation set. During training, the AI model is trained using data from the training set. During training, the validation set is used to assess accuracy; whether the predicted data on the validation set exceeds a threshold indicates whether the AI model's accuracy is sufficient. Once the accuracy is sufficient, the test set data is used to determine whether the AI model can be used in real-world scenarios.
[0038] In summary, embodiments of the present invention provide an artificial intelligence voice control system that uses sound signals and / or sensory signals (such as body temperature, heart rate, and / or sweating signals) provided by wearable devices to determine whether the user is an authenticated user and whether their emotions are stable. Based on this, it decides whether to generate a control signal through the Matter central control system to control peripheral devices to operate. The artificial intelligence voice control system of the present invention provides an Internet of Things (IoT) solution, making the Matter central control system more secure.
[0039] The present invention has been described in the above-described embodiments; however, these embodiments are merely examples for implementing the present invention. It must be noted that the disclosed embodiments do not limit the scope of the present invention. Conversely, any modifications and refinements made without departing from the spirit and scope of the present invention are within the scope of patent protection of the present invention.
Claims
1. An artificial intelligence voice authentication system, characterized in that, include: A client device used to receive input voice signals; An artificial intelligence filter, coupled to the client device, is used to determine whether the input voice signal meets predetermined conditions; and The Matter central control system, coupled to the artificial intelligence filter, generates a control signal based on the input voice signal when the input voice signal meets the predetermined conditions.
2. The voice authentication system as described in claim 1, characterized in that, The reservation conditions include that the user has stable emotions and that the user is a certified user.
3. The voice authentication system as described in claim 1, characterized in that, The Matter central control system includes at least one of the following: smart streaming media devices, smart home hubs, network devices, and smart mobile devices that support the Matter protocol.
4. The voice authentication system as described in claim 1, characterized in that, This artificial intelligence filter is based on convolutional neural networks, recurrent neural networks, long short-term memory models, or neural network-like systems.
5. The voice authentication system as described in claim 1, characterized in that, Also includes: Wearable devices used to detect sense of unity signals; The artificial intelligence filter is used to determine whether the haptic signal and the input voice signal meet the predetermined conditions.
6. The voice authentication system as described in claim 5, characterized in that, The somatosensory signal includes at least one of the following: body temperature signal, heart rate signal, and sweating signal.
7. The voice authentication system as described in claim 1 or 5, characterized in that, The AI filter resides in a cloud system.
8. An artificial intelligence voice control system, characterized in that, Including the voice authentication system as described in any one of claims 1 to 6; and Peripheral devices, coupled to the Matter central control system of the voice authentication system, are used to generate actions based on control signals generated by the Matter central control system.
9. The voice control system as described in claim 8, characterized in that, The peripheral device includes at least one of the following: smart light bulb, smart speaker, smart TV, air conditioner, smart refrigerator, and smart projector.
10. The voice control system as described in claim 8, characterized in that, The action includes at least one of the following: turning the switch on, turning the switch off, increasing the volume, decreasing the volume, increasing the temperature, decreasing the temperature, and playing.