Auto mute feature using a voice accelerometer and a microphone
Techniques for automatically muting or unmuting an acoustic transducer include receiving a signal representing an output by a voice accelerometer of a device, determining whether the signal is indicative of a presence or absence of voice activity by a user of the device, and generating a control signal that causes an acoustic transducer to be muted responsive to determining that the signal is indicative of an absence of voice activity by the user, or that causes the acoustic transducer to be unmuted response to determining that the signal is indicative of a presence of voice activity by the user.
1. A method comprising:
receiving, by at least one processor of a device, a first signal representing an output by a piezoelectric micro-electromechanical system (MEMS) bone conduction sensor of the device;
receiving, by the at least one processor, a second signal representing an output by a piezoelectric MEMS acoustic transducer of the device, wherein the piezoelectric MEMS acoustic transducer is separate from the piezoelectric MEMS bone conduction sensor;
determining, by the at least one processor, that the first signal representing the output by the piezoelectric MEMS bone conduction sensor is indicative of an absence of voice activity; and
in response to determining that the first signal is indicative of an absence of voice activity by a user, generating, by the at least one processor, a control signal that causes the second signal from the piezoelectric MEMS acoustic transducer to be muted.
2. The method of claim 1 , further comprising:
determining, by the at least one processor, a correlation between the first signal and the second signal; and
based on the correlation, generating, by the at least one processor, the control signal that causes the piezoelectric MEMS acoustic transducer to be muted or unmuted.
3. The method of claim 2 , comprising generating the control signal that causes the piezoelectric MEMS acoustic transducer to be unmuted in response to the correlation satisfying a threshold value.
4. The method of claim 1 , comprising:
in response to determining that the first signal is indicative of a presence of voice activity by the user, generating a control signal that causes the piezoelectric MEMS acoustic transducer to be unmuted.
5. The method of claim 1 , wherein determining whether the first signal is indicative of a presence or an absence of voice activity comprises comparing an amplitude of at least a portion of the first signal with a threshold value.
6. The method of claim 5 , comprising:
in response to the amplitude of at least a portion of the first signal satisfying the threshold value, comparing an amplitude or energy at one or more particular frequencies of the first signal with a threshold value to determine whether the first signal is indicative of a presence or an absence of voice activity by the user.
7. The method of claim 5 , comprising:
in response to the amplitude of at least a portion of the first signal satisfying the threshold value, applying a voice activity detection algorithm to the first signal to determine whether the first signal is indicative of a presence or an absence of voice activity by the user.
8. The method of claim 1 , wherein the device includes the at least one processor.
9. The method of claim 1 , wherein the at least one processor is included in another device that is distinct from the device.
10. The method of claim 1 , wherein the piezoelectric MEMS bone conduction sensor generates the first signal by detecting vibrations of vocal chords of the user through the device.
11. The method of claim 1 , wherein the control signal controls a hardware or software switch to cause the piezoelectric MEMS acoustic transducer to be muted.
12. The method of claim 1 , wherein the control signal causes the device or another device to display an audio or visual indication that the piezoelectric MEMS acoustic transducer is muted or unmuted.
13. A device, comprising:
at least one processor; and
at least one computer-readable storage medium storing instructions that are executable by the at least one processor to perform operations comprising:
receiving a first signal representing an output by a piezoelectric micro-electromechanical system (MEMS) bone conduction sensor of the device;
receiving, by the at least one processor, a second signal representing an output by a piezoelectric MEMS acoustic transducer of the device, wherein the piezoelectric MEMS acoustic transducer is separate from the piezoelectric MEMS bone conduction sensor;
determining that the first signal representing the output by the piezoelectric MEMS bone conduction sensor is indicative of an absence of voice activity; and
in response to determining that the first signal is indicative of an absence of voice activity by a user, generating a control signal that causes the second signal from the piezoelectric MEMS acoustic transducer to be muted.
14. The device of claim 13 , further comprising:
determining, by the at least one processor, a correlation between the first signal and the second signal; and
based on the correlation, generating, by the at least one processor, the control signal that causes the piezoelectric MEMS acoustic transducer to be muted or unmuted.
15. The device of claim 13 , wherein the piezoelectric MEMS bone conduction sensor and the piezoelectric MEMS acoustic transducer are included in the device.
16. The device of claim 13 , wherein the piezoelectric MEMS bone conduction sensor and the piezoelectric MEMS acoustic transducer are included in another device that is distinct from the device.
17. One or more non-transitory computer-readable storage mediums storing instructions that are executable by at least one processor of a device to perform operations comprising:
receiving a first signal representing an output by a piezoelectric micro-electromechanical system (MEMS) bone conduction sensor of the device;
receiving, by the at least one processor, a second signal representing an output by a piezoelectric MEMS acoustic transducer of the device, wherein the piezoelectric MEMS acoustic transducer is separate from the piezoelectric MEMS bone conduction sensor;
determining that the first signal representing the output by the piezoelectric MEMS bone conduction sensor is indicative of an absence of voice activity; and
in response to determining that the first signal is indicative of the absence of voice activity by a user, generating a control signal that causes the second signal from the piezoelectric MEMS acoustic transducer to be muted.
18. The one or more non-transitory computer-readable mediums of claim 17 , wherein the instructions are further executable to cause the device to perform operations comprising:
determining, by the at least one processor, a correlation between the first signal and the second signal; and
based on the correlation, generating, by the at least one processor, the control signal that causes the piezoelectric MEMS acoustic transducer to be muted or unmuted.