Dts, Inc.

Creative Technology Corporation

Other

Great Dane Limited Partnership

Martin Walsh

Edward Stein

Jean-Marc Jot

Michael M Goodwin

Guangji Shi

Zesen Zhuang

David Corsello

Suketu Kamdar

Stephen A Davis

Michael C Kelly

David Berners

Brian Adkins

Jean Laroche

Prashant Velagaleti

Mark Phillips

Michael Chorn

Edward L Riegelsberger

Mark Barry Dolson

Juha Merimaa

Brian Slack

William Paul Smith

Adam R Philp

David Cortes Provencio

Aoife Mcdonagh

Peter Corcoran

A method comprises: obtaining a mixed soundtrack that includes dialogue mixed with non-dialogue sound; converting the mixed soundtrack to comparison text; obtaining reference text for the dialogue as a reference for intelligibility of the dialogue; determining a measure of intelligibility of the dialogue of the mixed soundtrack to a listener based on a comparison of the comparison text against the reference text; and reporting the measure of intelligibility of the dialogue.

Method and apparatus for dialogue understandability assessment

Embodiments of systems and methods for adaptive sound equalization in personal hearing devices are disclosed. In some embodiments a microphone in a personal hearing device receives sound from the listener's environment. The sound then is analyzed to determine one or more desired targets, for instance loudness level or spectral balance. The determined targets then are used to control adaptive processing of the sound received by the microphone to generate a perceptually improved sound to render to the listener.

System and method for adaptive sound equalization in personal hearing devices

A method comprises: receiving an image of a real-world environment; using a machine learning classifier, classifying the image to produce classifications associated with acoustic presets for an acoustic environment simulation, the acoustic presets each including acoustic parameters that represent sound reverberation; and selecting an acoustic preset among the acoustic presets based on the classifications.

Room acoustics simulation using deep learning image analysis

Systems and methods discussed herein can change a frame of reference for a first spatial audio signal. The first spatial audio signal can include signal components representing audio information from different depths or directions relative to an audio capture location associated with an audio capture source device with a first frame of reference relative to an environment Changing the frame of reference can include receiving a component of the first spatial audio signal, receiving information about a second frame of reference relative to the same environment, determining a difference between the first and second frames of reference, and, using the determined difference between the first and second frames of reference, determining a first filter to use to generate at least one component of a second spatial audio signal that is based on the first spatial audio signal and is referenced to the second frame of reference.

Non-coincident audio-visual capture system

Embodiments of systems and methods are described for reducing undesired leakage energy produced by a non-front-facing speaker in a multi-speaker system. For example, the multi-speaker system can include an array of forward-facing speakers, one or more upward-facing speakers, and/or one or more side-facing speakers. Filters coupled to any two of the speakers in the multi-speaker system can generate audio signals output by the coupled speakers to reduce, attenuate, or cancel a portion of an audio signal output by one or more non-front-facing speakers that acoustically propagates along a direct path from the respective non-front-facing speaker to a listening position in a listening area in front of the multi-speaker system.

Multi-speaker method and apparatus for leakage cancellation

A method and a system for calibrating a surround sound system are disclosed. The calibration system can provide a graphical user interface for display comprising a visual representation of the room hosting a multichannel surround sound system. The graphical user interface can permit user input of gestures to place or make changes to the placement of icons representing one or more loudspeakers and a listener. The calibration system can estimate the positions of the one or more loudspeakers or the listener based on the placement of the icons in the model room. A spatial calibration based on the estimated positions can then be performed such that the multichannel surround sound system can render sound scenes more accurately.

Graphical user interface for calibrating a surround sound system

The present subject matter provides technical solutions to technical problems facing audio virtualization. To reduce the technical complexity and computational intensity facing audio virtualization, a technical solution includes rendering audio objects binaurally with differing quality levels, where the quality level for each audio source may be selected based on their position relative to the user's field of view. In an example, this technical solution reduces technical complexity and computational intensity by reducing the audio quality for audio sources outside of a user's central field of vision. In an example, high quality audio rendering may be applied to sound objects within this strong central visual acuity area. These technical solutions reduce processing over higher complexity systems, and provides potential for much higher quality rendering at a reduced technical and computational cost.

Foveated audio rendering

The method and apparatus described herein make use of multiple sets of head related transfer functions (HRTFs) that have been synthesized or measured at various distances from a reference head, spanning from the near-field to the boundary of the far-field. Additional synthetic or measured transfer functions maybe used to extend to the interior of the head, i.e., for distances closer than near-field. In addition, the relative distance-related gains of each set of HRTFs are normalized to the far-field HRTF gains.

Near-field binaural rendering

An audio processing system for processing a single channel audio signal includes a a processor configured to derive a synthetic difference component from the single channel audio input signal a filtering module configured to apply a first filter to the sum signal represented by the single channel signal and to apply a second filter to the synthetic difference signal; and a control module configured to crossfade to control the amount of the resulting audio signal effect by respectively scaling the sum signal and the difference signal.

Spatial audio enhancement processing method and apparatus

The methods and apparatus described herein optimally represent full 3D audio mixes (e.g., azimuth, elevation, and depth) as 'sound scenes' in which the decoding process facilitates head tracking. Sound scene rendering can be modified for the listener's orientation (e.g., yaw, pitch, roll) and 3D position (e.g., x, y, z). This provides the ability to treat sound scene source positions as 3D positions instead of being restricted to positions relative to the listener. Sound scene rendering can be augmented by encoding depth to a source directly. This provides the ability to modify the transmission format and panning equations to support adding depth indicators during content production. Unlike typical methods that apply depth cues such as loudness and reverberation changes in the mix, this method would enable recovering the distance of a source in the mix so that it can be rendered for the final playback capabilities rather than those on the production side.

Ambisonic audio rendering with depth decoding

A sound field coding system and method that provides flexible capture, distribution, and reproduction of immersive audio recordings encoded in a generic digital audio format compatible with standard two-channel or multi-channel reproduction systems. This end-to-end system and method mitigates any impractical need for standard multi-channel microphone array configurations in consumer mobile devices such as smart phones or cameras. The system and method capture and spatially encode two-channel or multi-channel immersive audio signals that are compatible with legacy playback systems from flexible multi-channel microphone array configurations.

Growing community of inventors

Scotts Valley, CA, United States of America

Martin Walsh