Sony Corporation

Sony Group Corporation

Javier Alonso Garcia

Thomas Kemp

Stefan Uhlich

Fabien Cardinaux

Stephen Tiedemann

Wilhelm Hagg

Franck Giron

Jana Eggink

Kazuki Yoshiyama

Lukas Mauch

A method comprising a deep learning based translation system translating a source sentence from language A to a target sentence in language B, placing constraints on the target sentence in language B.

Electronic device, method and computer program

An apparatus comprising circuitry that implements an artificial neural network training algorithm that uses weight tying.

Apparatus and method for training neural networks using weight tying

A computer-implemented method of training an artificial neural network (ANN) by generating a first learned parameter for use in normalising input data values during a subsequent inference phase of the trained ANN. The method includes, for each of a series of batches of training data values, deriving a batch variance of the batch of training data values and a running variance of all training data values already processed in the training phase; generating an approximation of a current value of the first learned parameter so that a first scaling factor dependent upon the approximation of the first learned parameter and the running variance, is constrained to be equal to a power of two; and normalizing the batch of input data values by a second scaling factor dependent upon the approximation of the current value of the first learned parameter and the batch variance.

Artificial neural network

A method for personalizing a multimedia application includes receiving, from a module of the multimedia application, a request for a multimedia output, wherein the request is of a type; providing user data of a user of the multimedia application, the user data being representative of a personal taste of the user; and determining a multimedia output depending on the type and the user data.

Method and device for personalizing a multimedia application

Embodiments of the invention relate to a method for video retrieval by providing a first audio video file, determining a first identifier of a first piece of music in the first audio video file, looking up for the first identifier first meta data in a music database, in which said first meta data are associated with said first identifier, providing second meta data of a second piece of music from the music database. The second piece of music is included in a second audio video file. Further the method is conducted by determining a similarity measure by comparing the first and second meta data, and providing the second audio video file or an identifier thereof depending on the similarity measure. Further embodiments relate to a server, a user device and a system and a computer program product for video retrieval.

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Stuttgart, Germany

Javier Alonso Garcia