Doppler Labs, Inc.

Dolby Laboratories Licensing Corporation

Jeff Baker

Richard Fritz Lanman, Iii

Noah Kraft

Gints Valdis Klimanis

Matthew J Jaffe

Anthony Parks

Daniel C Wiggins

Matthew Fumio Yamamoto

Thomas Ezekiel Burgess

James Dexter Tickle

Nils Jacob Palmborg

Sal Gregory Garcia

Dan Wiggins

Chris Caronna

Sal Greg Garcia

Richard Fritz Lanman Iii

Personal audio systems and methods are disclosed. A personal audio system includes a processor to generate a personal audio stream by processing an ambient audio stream in accordance with an active processing parameter set, a circular buffer memory to store a most recent snippet of the ambient audio stream, and an event detector to detect a trigger event. In response to detection of the trigger event, a controller may extract audio feature data from the most recent snippet of the ambient audio stream and transmit the audio feature data and associated metadata to a knowledgebase remote from the personal audio system.

Privacy protection in collective feedforward

Personal audio systems and methods are disclosed. A personal audio system includes a class table storing processing parameters respectively associated with a plurality of annoyance noise classes, a controller, and a processor. The controller identifies an annoyance noise class of an annoyance noise included in an ambient audio stream and retrieves, from the class table, one or more processing parameters associated with the identified annoyance noise class. The processor to processes the ambient audio stream according to the one or more retrieved processing parameters class to provide a personal audio stream. The processor includes a pitch tracker to identify a fundamental frequency of the annoyance noise and a filter bank including a band reject filter tuned to the fundamental frequency.

Annoyance noise suppression

A combined ambient sound and secondary audio system comprises at least one microphone for receiving ambient sound, at least one receiver for receiving secondary audio from a secondary audio source not audible in the ambient sound. The system further includes a memory storing one or more sets processing parameters comprising instructions for processing the ambient sound and the secondary audio and a processor coupled to the memory, the microphone, and the receiver configured to generate combined ambient and secondary sound by combining the ambient sound and the secondary audio as directed by a selected set of processing parameters retrieved from the memory.

Real-time combination of ambient audio and a secondary audio source

Personal audio systems and methods are disclosed. A personal audio system includes a processor to generate a personal audio stream by processing the digitized ambient audio in accordance with an active processing parameter set, an event detector to detect a trigger event other than manual selection by a user of the personal audio system, and a controller configured to, in response to detection of the trigger event, select a new processing parameter set and instruct the processor to begin generating the personal audio stream by processing the digitized ambient audio in accordance with the new processing parameter set.

Adaptive filtering with machine learning

Learning personal audio systems and methods are disclosed. A learning personal audio system characterizes the digitized ambient sound so as to generate feature data for the digitized ambient sound, instructs a network interface to transmit the feature data to the remote server, requests one or more appropriate sound profiles from the remote server based upon the feature data, receives one or more selected sound profiles, selected by the remote server based upon the feature data, and initiates processing of the digitized ambient sound based upon the one or more selected sound profiles received from the remote server to generate digitized processed sound. The one or more selected sound profiles for the learning personal audio system are based upon sound profiles which are manually selected by a plurality of other users of personal audio systems similar to the learning personal audio system.

Personal audio system using processing parameters learned from user feedback

Personal audio systems and methods are disclosed. A personal audio system includes a processor to generate a personal audio stream by processing an ambient audio stream in accordance with an active processing parameter set, a circular buffer memory to store a most recent snippet of the ambient audio stream, and an event detector to detect a trigger event. In response to detection of the trigger event, a controller may transmit, to a knowledgebase remote from the personal audio system, the most recent snippet of the ambient audio stream and associated metadata.

Processing sound using collective feedforward

An augmented reality sound systems is disclosed. An augmented reality sound system includes a at least one microphone for receiving ambient sound and a memory storing one or more augmented reality sound profiles and a respective set of processing parameters. The system further includes a processor coupled to the memory and configured to generate augmented ambient sound from the ambient sound by reproducing the ambient sound in conjunction with processed sound superimposed over the ambient sound as directed by one or more of the set of processing parameters retrieved from the memory based on a selected augmented reality sound profile.

Augmented reality sound system

Personal audio systems and methods are disclosed. The personal audio system includes a processor configured to generate a processed ambient audio stream by processing the ambient audio stream in accordance with a selected set of processing parameters selected from the plurality of processing parameter sets stored in the memory, a communications interface configured to receive a new set of processing parameters, selected by someone other than the user, and a controller configured to instruct the processor to begin generating the processed ambient audio stream by using the new set of processing parameters.

Sharing of custom audio processing parameters

An earpiece for real-time audio processing of ambient sound includes an ear bud that provides passive noise attenuation to the earpiece such that exterior ambient sound is substantially reduced within an ear of a wearer, an exterior microphone that receives ambient sound and converts the received ambient sound into analog electrical signals, and an analog-to-digital converter that converts the analog electrical signals into digital signals representative of the ambient sounds. The earpiece further includes a digital signal processor that performs a transformation operation on the digital signals according to instructions received from a mobile device, the transformation operation transforms the digital signals into modified digital signals, a digital-to-analog converter that converts the modified digital signals into modified analog electrical signals, and a speaker that outputs the modified analog electrical signals as audio waves.

Real-time audio processing of ambient sound

Active acoustic filter systems and methods are disclosed. An active acoustic filter system includes a memory storing one or more stored sound profiles and a respective set of processing parameters associated with each of the one or more stored sound profiles. A processor coupled to the memory generates processed sound by processing ambient sound in accordance with a set of processing parameters retrieved from the memory based on results from comparing an ambient sound profile to at least one of the one or more stored sound profiles.

Active acoustic filter with automatic selection of filter parameters based on ambient sound

A time heuristic audio control system, comprises a receiver for receiving time-based data from a personal computing device and a memory storing one or more sets processing parameters comprising instructions for processing the ambient sound based upon the time-based data. The system further includes a processor coupled to the memory and the receiver configured to adjust the ambient sound as directed by a selected set of processing parameters retrieved from the memory to create adjusted audio, the selected set of processing parameters retrieved based upon the time-based data and at least one speaker for outputting the adjusted audio.

Time heuristic audio control

Non-occluding active noise suppression apparatus and methods are disclosed. A housing includes an inlet to admit ambient sound and an outlet to output personal sound to the ear of a user. An acoustic path and an electronic path are provided from the inlet to the outlet within the housing. For a predetermined frequency range, a phase difference between the acoustic path and the electronic path is substantially 180 degrees.

Growing community of inventors

Newbury Park, CA, United States of America

Jeff Baker