VIBRATION ENERGY COMPENSATION FOR A SKIN SURFACE MICROPHONE ("SSM") IN WEARABLE COMMUNICATION DEVICES
Embodiments relate generally to wearable electrical and electronic hardware, computer software, wired and wireless network communications, and to wearable/mobile computing devices configured to process audio, in view of noise, and communicate audio. More specifically, disclosed are wearable devices, platforms and methods directed to, for example, provide wearable communication devices, such as a headset. In various embodiments, a wearable communication device includes an array of microphone, an audio processor coupled to the array of microphones, and a vibration detector including, for example, a skin surface microphone (“SSM”).
1 . A method comprising:
receiving a first set of acoustic energy signals from an array of microphones in a wearable communication device;
receiving vibratory energy associated with speech from an interface portion of a skin surface microphone (“SSM”), the interface portion protruding from a surface of the wearable communication device;
converting the vibratory energy into a second set of acoustic energy signals;
directing the second set of acoustic energy signals to an acoustic energy receiver;
compensating the second set of acoustic energy signals for non-speech-related energy transmitted to the SSM to form compensated acoustic energy signals; and
suppressing ambient noise in an audio processor to form enhanced speech audio based on the compensated acoustic energy signals.
2 . The method of claim 1 wherein compensating second set of acoustic energy signals for the non-speech-related energy comprises:
generating speaker acoustic energy from a speaker; and
compensating for vibrations due to the speaker acoustic energy transmitted to the SSM.
3 . The method of claim 2 further comprising:
receiving the speaker acoustic energy into the SSM; and
filtering the speaker acoustic energy from the speaker to inhibit a false trigger of the SSM based on the speaker acoustic energy.
4 . The method of claim 3 further comprising:
cancelling the speaker acoustic energy using automatic echo cancelation (“AEC”).
5 . The method of claim 1 further comprising:
detecting a speech state in which the audio processor modifies audio processing as a function of the speech state.
6 . The method of claim 5 wherein detecting the speech state comprises:
determining a detected speech state as one of
a first state in which no speech is detected,
a second state in which speech from two or more audio sources are detected,
a third state in which speech is originating at the wearable communication device, and
a fourth state in which speech originates remotely relative to the wearable communication device.
7 . The method of claim 6 further comprising:
modifying a degree of noise suppression based on the detected speech state.
8 . The method of claim 1 wherein receiving vibratory energy comprises:
implementing the interface portion of the SSM to contact tissue of a user; and
receiving the vibratory energy originating from the tissue due to movement of a jawbone of the user.
9 . The method of claim 8 wherein converting the vibratory energy comprises:
generating pressure waves responsive to the vibratory energy; and
transferring the pressure waves as the second set of acoustic energy signals via a transfer conduit.
10 . The method of claim 9 wherein transferring the pressure waves comprises:
transferring the pressure waves via the transfer conduit to a MEMS (“Micro-Electrical-Mechanical System”)-based microphone.
11 . The method of claim 10 wherein transferring the pressure waves comprises:
sealing between the transfer conduit and the MEMs-based microphone to prevent leakage of the pressure waves.
12 . An audio processor comprising:
a digital signal processor including a radio to transmit wireless signals; and
a memory including a plurality of modules each including instructions executable by the digital signal processor, the plurality of modules comprising:
an audio processor module configured to receive a first set of acoustic energy signals from an array of microphones and a second set of acoustic energy signals from a skin surface microphone (“SSM”), the audio processor module configured further to compensate the second set of acoustic energy signals for speaker acoustic energy from a speaker transmitted to the SSM to form compensated acoustic energy signals; and
a noise suppression unit module configured to suppress ambient background noise to form speech audio based on the compensated acoustic energy signals.
13 . The audio processor of claim 12 wherein the noise suppression unit module further configured to filter the speaker acoustic energy to prevent a false trigger of the SSM due to the speaker acoustic energy.
14 . The audio processor of claim 12 further comprising:
a speech state detector module configured to detect a speech state as a function of the speech state for the noise suppression unit module, the speech state detector module configured to generate data representing the speech state as one of a first state in which no speech is detected, a second state in which speech from two or more audio sources are detected, a third state in which speech is originating at the wearable communication device, and a fourth state in which speech originates remotely relative to the wearable communication device.
15 . The audio processor of claim 12 further comprising:
an audio type detector module configured to detect a type of audio received, and to control the generation of a range of audio signal frequencies at the speaker.
16 . The audio processor of claim 12 further comprising:
a band selector configured to select one of a number of frequency bands with which to transmit audio.