Dolby Laboratories Licensing Corporation

Koninklijke Philips Corporation N.v.

Dolby International Ab

Fraunhofer-Gesellschaft Zur Foerderung Der Angewandten Forschung E.V.

Coding Technologies Ab

Agere Systems Inc.

Genkey Netherlands B.v.

Dolby Sweden Ab

Kantar Sas

Conding Technologies Ab

Koninklijke Philips Electronics N.v.

Dirk Jeroen Breebaart

David Matthew Cooper

Heiko Purnhagen

Erik Gosuinus Petrus Schuijers

Nicolas R Tsingos

Lie Lu

Rhonda J Wilson

Antonio Mateos Sole

Gerard Herman Hotho

Leif Jonas Samuelsson

Grant Allen Davidson

Kuan-Chieh Yen

Lars Villemoes

Kristofer Kjoerling

Alan Jeffrey Seefeldt

Arnoldus Werner Johannes Oomen

Jeroen Koppens

Lianwu Chen

Francois Philippus Myburg

C Phillip Brown

Joshua Brandon Lando

Zhiwei Shuang

Machiel Willem Van Loon

Juergen Herre

David S McGrath

Mark Franklin Davis

Toni Hirvonen

Steven Leonardus Josephus Dimphina Elisabeth Van De Par

Martin Franciscus McKinney

Sascha Disch

Matthias Neusinger

Albertus Cornelis Den Brinker

Mark A Alexander

Chunjian Li

Harald Mundt

Leon Maria Van De Kerkhof

Alexander Stahlmann

Antonius Hermanus Maria Akkermans

Thomas Andreas Maria Kevenaar

Aweke Negash Lemma

Evgeny Verbitskiy

Karl Jonas Roden

Ming Wang

Johannes Hilpert

Christof Faller

Brett Graham Crockett

Jonas Engdegard

Ralph Sperschneider

Andreas Hoelzer

Karl Jonas Roeden

Sripal S Mehta

Alphons Antonius Maria Lambertus Bruekers

Giulio Cengarle

Karsten Linzmeier

Jeroen Gerardus Henricus Koppens

Freddie Sanchez

Mingqing Hu

Dossym Nurmukhanov

Nicholas Luke Appleton

Koen Theo Johan De Groot

Mark William Gerrard

Mark David De Burgh

Werner Oomen

Emile Josephus Carlos Kelkboom

Sabri Boughorbel

Erik G P Schuijers

Brian George Arnott

Ludovic Albert Jozef Van Paepegem

Arnoldus Werner Johannes Domen

Steven Leonardus Josephus Dimphina Elizabeth Van De Par

Erik Gouinus Petrus Schuijers

Karl Jonas Rödén

Berk Gokberk

Martin F Mckinney

Lars F Villemoes

Machiel W Van Loon

Karl J Rödén

Karl J Röden

Arnoldus W J Oomen

An audio encoder comprises a multi-channel receiver which receives an M-channel audio signal where M>2. A down-mix processor down-mixes the M-channel audio signal to a first stereo signal and associated parametric data and a spatial processor modifies the first stereo signal to generate a second stereo signal in response to the associated parametric data and spatial parameter data for a binaural perceptual transfer function, such as a Head Related Transfer Function (HRTF). The second stereo signal is a binaural signal and may specifically be a (3D) virtual spatial signal. An output data stream comprising the encoded data and the associated parametric data is generated by an encode processor and an output processor. The HRTF processing may allow the generation of a (3D) virtual spatial signal by conventional stereo decoders. A multi-channel decoder may reverse the process of the spatial processor to generate an improved quality multi-channel signal.

Encoding of a multi-channel audio signal to generate binaural signal and decoding of an encoded binauralsignal

A method for encoding an input audio stream including the steps of obtaining a first playback stream presentation of the input audio stream intended for reproduction on a first audio reproduction system, obtaining a second playback stream presentation of the input audio stream intended for reproduction on a second audio reproduction system, determining a set of transform parameters suitable for transforming an intermediate playback stream presentation to an approximation of the second playback stream presentation, wherein the transform parameters are determined by minimization of a measure of a difference between the approximation of the second playback stream presentation and the second playback stream presentation, and encoding the first playback stream presentation and the set of transform parameters for transmission to a decoder.

Audio encoding and decoding using presentation transform parameters

Media input audio data corresponding to a media stream and microphone input audio data from at least one microphone may be received. A first level of at least one of a plurality of frequency bands of the media input audio data, as well as a second level of at least one of a plurality of frequency bands of the microphone input audio data, may be determined. Media output audio data and microphone output audio data may be produced by adjusting levels of one or more of the first and second plurality of frequency bands based on the perceived loudness of the microphone input audio data, of the microphone output audio data, of the media output audio data and the media input audio data. One or more processes may be modified upon receipt of a mode-switching indication.

Media-compensated pass-through and mode-switching

Diffuse or spatially large audio objects may be identified for special processing. A decorrelation process may be performed on audio signals corresponding to the large audio objects to produce decorrelated large audio object audio signals. These decorrelated large audio object audio signals may be associated with object locations, which may be stationary or time-varying locations. For example, the decorrelated large audio object audio signals may be rendered to virtual or actual speaker locations. The output of such a rendering process may be input to a scene simplification process. The decorrelation, associating and/or scene simplification processes may be performed prior to a process of encoding the audio data.

Method, apparatus or systems for processing audio objects

Encoding/decoding an audio signal having one or more audio components, wherein each audio component is associated with a spatial location. A first audio signal presentation (z) of the audio components, a first set of transform parameters (w(f)), and signal level data (&#x3b2;) are encoded and transmitted to the decoder. The decoder uses the first set of transform parameters (w(f)) to form a reconstructed simulation input signal intended for an acoustic environment simulation, and applies a signal level modification (&#x3b1;) to the reconstructed simulation input signal. The signal level modification is based on the signal level data (&#x3b2;) and data (p) related to the acoustic environment simulation. The attenuated reconstructed simulation input signal is then processed in an acoustic environment simulator. With this process, the decoder does not need to determine the signal level of the simulation input signal, thereby reducing processing load.

Acoustic environment simulation

A method for representing a second presentation of audio channels or objects as a data stream, the method comprising the steps of: (a) providing a set of base signals, the base signals representing a first presentation of the audio channels or objects; (b) providing a set of transformation parameters, the transformation parameters intended to transform the first presentation into the second presentation; the transformation parameters further being specified for at least two frequency bands and including a set of multi-tap convolution matrix parameters for at least one of the frequency bands.

Audio decoder and decoding method

There is provided encoding and decoding methods for encoding and decoding of object based audio. An exemplary encoding method includes inter alia calculating M downmix signals by forming combinations of N audio objects, wherein M&#x2264;N, and calculating parameters which allow reconstruction of a set of audio objects formed on basis of the N audio objects from the M downmix signals. The calculation of the M downmix signals is made according to a criterion which is independent of any loudspeaker configuration.

Efficient coding of audio scenes comprising audio objects

Methods for dialogue enhancing audio content, comprising providing a first audio signal presentation of the audio components, providing a second audio signal presentation, receiving a set of dialogue estimation parameters configured to enable estimation of dialogue components from the first audio signal presentation, applying said set of dialogue estimation parameters to said first audio signal presentation, to form a dialogue presentation of the dialogue components; and combining the dialogue presentation with said second audio signal presentation to form a dialogue enhanced audio signal presentation for reproduction on the second audio reproduction system, wherein at least one of said first and second audio signal presentation is a binaural audio signal presentation.

Binaural dialogue enhancement

In some embodiments, virtualization methods for generating a binaural signal in response to channels of a multi-channel audio signal, which apply a binaural room impulse response (BRIR) to each channel including by using at least one feedback delay network (FDN) to apply a common late reverberation to a downmix of the channels. In some embodiments, input signal channels are processed in a first processing path to apply to each channel a direct response and early reflection portion of a single-channel BRIR for the channel, and the downmix of the channels is processed in a second processing path including at least one FDN which applies the common late reverberation. Typically, the common late reverberation emulates collective macro attributes of late reverberation portions of at least some of the single-channel BRIRs. Other aspects are headphone virtualizers configured to perform any embodiment of the method.

Generating binaural audio in response to multi-channel audio using at least one feedback delay network

Methods and systems for designing binaural room impulse responses (BRIRs) for use in headphone virtualizers, and methods and systems for generating a binaural signal in response to a set of channels of a multi-channel audio signal, including by applying a BRIR to each channel of the set, thereby generating filtered signals, and combining the filtered signals to generate the binaural signal, where each BRIR has been designed in accordance with an embodiment of the design method. Other aspects are audio processing units configured to perform any embodiment of the inventive method. In accordance with some embodiments, BRIR design is formulated as a numerical optimization problem based on a simulation model (which generates candidate BRIRs) and at least one objective function (which evaluates each candidate BRIR), and includes identification of a best one of the candidate BRIRs as indicated by performance metrics determined for the candidate BRIRs by each objective function.

Methods and systems for designing and applying numerically optimized binaural room impulse responses

A system and method of modifying a binaural signal using headtracking information. The system calculates a delay, a first filter response, and a second filter response, and applies these to the left and right components of the binaural signal according to the headtracking information. The system may also apply headtracking to parametric binaural signals. In this manner, headtracking may be applied to pre-rendered binaural audio.

Headtracking for pre-rendered binaural audio

Various embodiments are disclosed for (possibly simultaneously) applying EQ and DRC to audio signals. In an embodiment, a method comprises: dividing an input audio signal into n frames, where n is a positive integer greater than one; dividing each frame of the input audio signal into Nb frequency bands, where Nb is a positive integer greater than one; for each frame n: computing an input level of the input audio signal in each band f, resulting in a input audio level distribution for the input audio signal; computing a gain for each band f based at least in part on a mapping of one or more properties of the input audio level distribution to a reference N audio level distribution computed from one or more reference audio signals; and applying each computed gain for each band f to each corresponding band f of the input audio signal.

Dynamic EQ

Described herein is a method () of rendering an audio signal () for playback in an audio environment () defined by a target loudspeaker system (), the audio signal () including audio data relating to an audio object and associated position data indicative of an object position. Method () includes the initial step () of receiving the audio signal (). At step () loudspeaker layout data for the target loudspeaker system () is received. At step () control data is received that is indicative of a position modification to be applied to the audio object in the audio environment (). At step () in response to the position data, loudspeaker layout data and control data, rendering modification data is generated. Finally, at step () the audio signal () is rendered with the rendering modification data to output the audio signal () with the audio object at a modified object position that is between loudspeakers within the audio environment ().

Spatial audio signal manipulation

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Eindhoven, Netherlands

Dirk Jeroen Breebaart