Aliphcom

Jawbone Innovations, LLC

Other

Jawb Acquisition LLC

Aliph, Inc.

Aplihcom

Gregory C Burnett

Nicolas Jean Petit

Zhinian Jing

Michael Goertz

Thomas Alan Donaldson

Steven F Forestieri

Eric F Breitfeller

Andrew E Einaudi

Alexander M Asseily

Alexander Asseily

Jaques Gagne

Dore Mark

Nicolas Petit

Acoustic Voice Activity Detection (AVAD) methods and systems are described. The AVAD methods and systems, including corresponding algorithms or programs, use microphones to generate virtual directional microphones which have very similar noise responses and very dissimilar speech responses. The ratio of the energies of the virtual microphones is then calculated over a given window size and the ratio can then be used with a variety of methods to generate a VAD signal. The virtual microphones can be constructed using either an adaptive or a fixed filter.

Acoustic voice activity detection (AVAD) for electronic systems

A dual omnidirectional microphone array noise suppression is described. Compared to conventional arrays and algorithms, which seek to reduce noise by nulling out noise sources, the array of an embodiment is used to form two distinct virtual directional microphones which are configured to have very similar noise responses and very dissimilar speech responses. The only null formed is one used to remove the speech of the user from V. The two virtual microphones may be paired with an adaptive filter algorithm and VAD algorithm to significantly reduce the noise without distorting the speech, significantly improving the SNR of the desired speech over conventional noise suppression systems.

Forming virtual microphone arrays using dual omnidirectional microphone array (DOMA)

A microphone array is described for use in ultra-high acoustical noise environments. The microphone array includes two directional close-talk microphones. The two microphones are separated by a short distance so that one microphone picks up more speech than the other. The microphone array can be used along with an adaptive noise removal program to remove a significant portion of noise from a speech signal of interest.

Advanced speech encoding dual microphone configuration (DMC)

Dual omnidirectional microphone array (DOMA)

Techniques for noise suppression systems coupled to one or more microphone arrays are described, including a housing, a first microphone, a second microphone, and a third microphone, where the third microphone functions as a common rear vent for the first and the second microphones.

Microphone array with rear venting

A wireless conference call telephone system uses body-worn wired or wireless audio endpoints comprising microphones and, optionally, speakers. These audio-endpoints, which include headsets, pendants, and clip-on microphones to name a few, are used to capture the user's voice and the resulting data may be used to remove echo and environmental acoustic noise. Each audio-endpoint transmits its audio to the telephony gateway, where noise and echo suppression can take place if not already performed on the audio-endpoint, and where each audio-endpoint's output can be labeled, integrated with the output of other audio-endpoints, and transmitted over one or more telephony channels of a telephone network. The noise and echo suppression can also be done on the audio-endpoint. The labeling of each user's output can be used by the outside caller's phone to spatially locate each user in space, increasing intelligibility.

Wireless conference call telephone

Embodiments include a system comprising a pipe that includes a first end and a second end. The pipe includes a plurality of sections coupled together. The system includes a loudspeaker that is a mouth simulator loudspeaker. The system includes an adapter that connects the loudspeaker to the first end. The system includes a receptacle positioned in the pipe a first distance from the first end and a second distance from the second end. The receptacle secures a plurality of microphones a third distance inside an inside surface of the pipe.

Pipe calibration system for omnidirectional microphones

Embodiments include a device comprising a pipe having at least one section that spans between a first end and a second end of the pipe. The pipe has a cylindrical cross-section. The device comprises a receptacle positioned in the pipe a first distance from the first end and a second distance from the second end. The receptacle receives an electronic device having microphones that are to be calibrated and secures the microphones a third distance inside an inside surface of the pipe. The device comprises an adapter connected to the first end. The adapter connects a loudspeaker to the pipe. The pipe controls an acoustic energy experienced by the plurality of microphones so that each microphone of the plurality of microphones receives equivalent acoustic energy.

Pipe calibration device for calibration of omnidirectional microphones

Embodiments include a method comprising forming a pipe including a first end and a second end by forming couplings between a plurality of sections of pipe. A loudspeaker is connected to the first end. The loudspeaker is a mouth simulator loudspeaker. A plurality of microphones are positioned a third distance inside an inside surface of the pipe using a receptacle positioned in the pipe a first distance from the first end and a second distance from the second end. An acoustic output is generated at the loudspeaker. One or more calibration filters are generated using outputs of the plurality of microphones produced in response to the acoustic output.

Pipe calibration method for omnidirectional microphones

A voice activity detector (VAD) combines the use of an acoustic VAD and a vibration sensor VAD as appropriate to the conditions a host device is operated. The VAD includes a first detector receiving a first signal and a second detector receiving a second signal. The VAD includes a first VAD component coupled to the first and second detectors. The first VAD component determines that the first signal corresponds to voiced speech when energy resulting from at least one operation on the first signal exceeds a first threshold. The VAD includes a second VAD component coupled to the second detector. The second VAD component determines that the second signal corresponds to voiced speech when a ratio of a second parameter corresponding to the second signal and a first parameter corresponding to the first signal exceeds a second threshold.

Vibration sensor and acoustic voice activity detection systems (VADS) for use with electronic systems

Acoustic noise suppression is provided in multiple-microphone systems using Voice Activity Detectors (VAD). A host system receives acoustic signals via multiple microphones. The system also receives information on the vibration of human tissue associated with human voicing activity via the VAD. In response, the system generates a transfer function representative of the received acoustic signals upon determining that voicing information is absent from the received acoustic signals during at least one specified period of time. The system removes noise from the received acoustic signals using the transfer function, thereby producing a denoised acoustic data stream.

Voice activity detector (VAD)&#x2014;based multiple-microphone acoustic noise suppression

Microphone arrays (MAs) are described that position and vent microphones so that performance of a noise suppression system coupled to the microphone array is enhanced. The MA includes at least two physical microphones to receive acoustic signals. The physical microphones make use of a common rear vent (actual or virtual) that samples a common pressure source. The MA includes a physical directional microphone configuration and a virtual directional microphone configuration. By making the input to the rear vents of the microphones (actual or virtual) as similar as possible, the real-world filter to be modeled becomes much simpler to model using an adaptive filter.

A light-based skin contact detector is described, including a boot having an index of refraction less than or equal to another index of refraction associated with skin at a frequency of light, a light emitter and detector coupled to the boot and configured to measure an amount of light energy reflected by an interface of the boot, and a digital signal processor configured to detect a change in the amount of light energy reflected by the interface. Embodiments relate to methods for detecting skin contact by measuring an amount of energy reflected by an interface when a boot is not in contact with skin, measuring another amount of energy reflected by another interface when the boot is in contact with the skin, and detecting a change between the amount of energy and the another amount of energy using a digital signal processor.

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Dodge Center, MN, United States of America

Gregory C Burnett