Aliphcom

Other

Jawbone Innovations, LLC

Aplihcom

Nicolas Jean Petit

Gregory C Burnett

Zhinian Jing

Michael Goertz

Thomas Alan Donaldson

Steven F Forestieri

Andrew E Einaudi

Alexander M Asseily

Alexander Asseily

Jaques Gagne

Dore Mark

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 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

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

Techniques associated with an acoustic vibration sensor are described, including a first detector that receives a first signal and a second detector that receives a second signal and a third signal, wherein the first signal comprises a skin surface microphone signal, a static equalization filter coupled to the first detector and configured to generate an equalized first signal, a voice activity detector coupled to the first detector, and a wind detector coupled to the second detector, the wind detector configured to correlate the second signal and the third signal and to derive from the correlation a plurality of wind metrics associated with a wind noise, the wind detector is further configured to determine a magnitude associated with the wind noise, to determine whether to suspend an activity of the system, and to determine a duration of time that the magnitude associated with the wind noise exceeds a threshold.

Wind suppression/replacement component for use with electronic systems

A wireless conference call telephone system uses body-worn wired or wireless audio endpoints comprising microphone arrays 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.

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

Systems and methods to reduce the negative impact of wind on an electronic system include use of a first detector that receives a first signal and a second detector that receives a second signal. A voice activity detector (VAD) coupled to the first detector generates a VAD signal when the first signal corresponds to voiced speech. A wind detector coupled to the second detector correlates signals received at the second detector and derives from the correlation wind metrics that characterize wind noise that is acoustic disturbance corresponding to at least one of air flow and air pressure in the second detector. The wind detector controls a configuration of the second detector according to the wind metrics. The wind detector uses the wind metrics to dynamically control mixing of the first signal and the second signal to generate an output signal for transmission.

Communication systems are described, including both portable handset and headset devices, which use a number of microphone configurations to receive acoustic signals of an environment. The microphone configurations include, for example, a two-microphone array including two unidirectional microphones, and a two-microphone array including one unidirectional microphone and one omnidirectional microphone. The communication systems also include Voice Activity Detection (VAD) devices to provide information of human voicing activity. Components of the communications systems receive the acoustic signals and voice activity signals and, in response, automatically generate control signals from data of the voice activity signals. Components of the communication systems use the control signals to automatically select a denoising method appropriate to data of frequency subbands of the acoustic signals. The selected denoising method is applied to the acoustic signals to generate denoised acoustic signals when the acoustic signal includes speech and noise.

Microphone and voice activity detection (VAD) configurations for use with communication systems

A new type of headset that employs adaptive noise suppression, multiple microphones, a voice activity detection (VAD) device, and unique mechanisms to position it correctly on either ear for use with phones, computers, and wired or wireless connections of any kind is described. In various embodiments, the headset employs combinations of new technologies and mechanisms to provide the user a unique communications experience.

Growing community of inventors

Mountain View, CA, United States of America

Nicolas Jean Petit