Voice wake-up method, electronic device, wearable device, and system

1 . A system, comprising:

an electronic device; and

a wearable device, wherein the electronic device communicates with the wearable device through a short-distance wireless connection;

wherein the electronic device is configured to:

collect a voice signal in an environment in which the electronic device is located; and

when the voice signal meets a preset condition, send a query request to the wearable device, wherein the query request requests information indicating that a user is speaking;

wherein the wearable device is configured to send a query result to the electronic device, wherein the query result comprises the information indicating that the user is speaking, wherein the information indicating that the user is speaking indicates a first confidence level and a second confidence level, the first confidence level is a confidence level of the user wearing the wearable device, and the second confidence level is a confidence level of the user speaking; and

wherein the electronic device is further configured to: when the first confidence level is greater than or equal to a first preset value and the second confidence level is greater than or equal to a second preset value, enter a wake-up state.

2 . The system according to claim 1 , wherein the wearable device comprises a sound sensor, and the wearable device is further configured to:

determine the first confidence level based on a sound signal detected by the sound sensor within a preset detection period, wherein the sound signal is a frequency of a human body heartbeat or a breathing sound signal; and

determine the second confidence level based on a strength of the sound signal within a preset frequency range.

3 . The system according to claim 1 , wherein the wearable device comprises a photo plethysmo graph (PPG) sensor, and the wearable device is configured to:

determine the first confidence level based on a frequency of a PPG signal detected by the PPG sensor within a preset detection period; and

determine the second confidence level based on a strength of the PPG signal within a preset frequency range.

4 . The system according to claim 1 , wherein the wearable device comprises a sound sensor, and the wearable device is configured to:

collect a sound signal using the sound sensor, wherein the sound signal is a human body heartbeat or a breathing sound signal; and

input the sound signal into a first model, a second model, and a third model, to obtain the first confidence level and the second confidence level, wherein the first model is obtained by collecting a noise signal generated when the user does not wear the wearable device, the second model is obtained by collecting a sound signal generated when the user wears the wearable device and does not speak, and the third model is obtained by collecting a sound signal generated when the user wears the wearable device and is speaking.

5 . The system according to claim 1 , wherein the wearable device comprises a photo plethysmo graph (PPG) sensor, and the wearable device is configured to:

collect a PPG signal using the PPG sensor; and

input the PPG signal into a first model, a second model, and a third model, to obtain the first confidence level and the second confidence level, wherein the first model is obtained by collecting a noise signal generated when the user does not wear the wearable device, the second model is obtained by collecting a PPG signal generated when the user wears the wearable device and does not speak, and the third model is obtained by collecting a PPG signal generated when the user wears the wearable device and is speaking.

6 . The system according to claim 1 , wherein a logged-in account of the electronic device is associated with a logged-in account of the wearable device.

7 . An electronic device, comprising:

one or more processors; and

one or more memories;

wherein the one or more memories store one or more computer programs, the one or more computer programs comprise instructions, and when the instructions are executed by the one or more processors, the electronic device is enabled to perform the following steps:

collecting a voice signal in an environment in which the electronic device is located;

when the voice signal meets a preset condition, sending a query request to a wearable device, wherein the query request requests information indicating that a user is speaking, and wherein the electronic device communicates with the wearable device through a short-distance wireless connection;

receiving a query result sent by the wearable device, wherein the query result comprises the information indicating that the user is speaking, and wherein the information indicating that the user is speaking indicates a first confidence level and a second confidence level, the first confidence level is a confidence level of the user wearing the wearable device, the second confidence level is a confidence level of the user speaking; and

entering a wake-up state when the first confidence level is greater than or equal to a first preset value and the second confidence level is greater than or equal to a second preset value.

8 . The electronic device according to claim 7 , wherein a logged-in account of the electronic device is associated with a logged-in account of the wearable device.

9 . A wearable device, comprising:

one or more processors; and

one or more memories,

wherein the one or more memories store one or more computer programs, the one or more computer programs comprise instructions, and when the instructions are executed by the one or more processors, the wearable device is enabled to perform the following steps:

receiving a query request sent by an electronic device, wherein the query request requests information indicating that a user is speaking, and the wearable device communicates with the electronic device through a short-distance wireless connection; and

sending a query result to the electronic device, wherein the query result comprises the information indicating that the user is speaking, wherein the information indicating that the user is speaking indicates a first confidence level and a second confidence level, the first confidence level is a confidence level of the user wearing the wearable device, and the second confidence level is a confidence level of a voice signal.

10 . The wearable device according to claim 9 , wherein the wearable device comprises a sound sensor, and when the instructions are executed by the one or more processors, the wearable device is enabled to perform the following steps:

determining the first confidence level based on a sound signal detected by the sound sensor within a preset detection period, wherein the sound signal is a frequency of a human body heartbeat or a breathing sound signal; and

determining the second confidence level based on strength of the sound signal within a preset frequency range.

11 . The wearable device according to claim 9 , wherein the wearable device comprises a photo plethysmo graph (PPG) sensor, and when the instructions are executed by the one or more processors, the wearable device is enabled to perform the following steps:

determining the first confidence level based on a frequency of a PPG signal detected by the PPG sensor within a preset detection period; and

determining the second confidence level based on a strength of the PPG signal within a preset frequency range.

12 . The wearable device according to claim 9 , wherein the wearable device comprises a sound sensor, and when the instructions are executed by the one or more processors, the wearable device is enabled to perform the following steps:

collecting a sound signal using the sound sensor, wherein the sound signal is a human body heartbeat or a breathing sound signal; and

inputting the sound signal into a first model, a second model, and a third model, to obtain the first confidence level and the second confidence level, wherein the first model is obtained by collecting a noise signal generated when the user does not wear the wearable device, the second model is obtained by collecting a sound signal generated when the user wears the wearable device and does not speak, and the third model is obtained by collecting a sound signal generated when the user wears the wearable device and is speaking.

13 . The wearable device according to claim 9 , wherein the wearable device comprises a photo plethysmo graph (PPG) sensor, and when the instructions are executed by the one or more processors, the wearable device is enabled to perform the following steps:

collecting a PPG signal by using the PPG sensor; and

inputting the PPG signal into a first model, a second model, and a third model, to obtain the first confidence level and the second confidence level, wherein the first model is obtained by collecting a noise signal generated when the user does not wear the wearable device, the second model is obtained by collecting a PPG signal generated when the user wears the wearable device and does not speak, and the third model is obtained by collecting a PPG signal generated when the user wears the wearable device and is speaking.

14 . The wearable device according to claim 9 , wherein a logged-in account of the electronic device is associated with a logged-in account of the wearable device.

15 . The system according to claim 1 , wherein the voice signal meets the preset condition when the voice signal includes a wake-up word and voiceprint information in the voice signal matches preset voiceprint information.

16 . The electronic device according to claim 7 , wherein the voice signal meets the preset condition when the voice signal includes a wake-up word and voiceprint information in the voice signal matches preset voiceprint information.

17 . The system according to claim 1 , wherein the voice signal meets the preset condition when voiceprint information in the voice signal matches preset voiceprint information.

18 . The electronic device according to claim 7 , wherein the voice signal meets the preset condition when voiceprint information in the voice signal matches preset voiceprint information.

19 . The wearable device according to claim 9 , wherein the query request is carried in a directed broadcast packet.

20 . The wearable device according to claim 9 , wherein the query request is forwarded to the wearable device from a cloud server.