Dr. Stanislaw Gorlow
Dolby Sweden

Abstract: This talk is divided into two parts. The first introduces Dolby as an industry leader with a proven record for developing and commercializing technologies that enable spectacular experiences based on the science behind sight and hearing. The focus is laid on Dolby Atmos, a 3D sound technology that was originally created for theaters to reproduce sound with high realism. The second part starts with a contrasting juxtaposition between object-based and spatial audio coding, right after which the speaker presents his work on object-based spatial audio coding before joining Dolby Sweden. The motivation for that work comes from the desire to create a technology that would enable the user to personalize the listening experience of recorded music. Thereafter, he closes the loop on the topic by presenting a similar technology that was developed at Dolby in order to bring the cinema experience of Dolby Atmos to the home theater with minimal bitrate. The talk concludes with a clip that gives an idea of the applications of object-based spatial audio coding.

Bio: Stanislaw received the B.Eng. degree in Information Technology from the Nuremberg Institute of Technology, Germany, in 2007, the M.Sc. degree in Electrical Engineering and Information Technology from the Ilmenau University of Technology, Germany, in 2010, and the Ph.D. degree in Computer Science from the University of Bordeaux, France, in 2013. Between 2013 and 2015, he was a postdoctoral researcher in the Music Technology Group (MTG) at the Pompeu Fabra University in Barcelona, Spain, and a member of the Music Team in the Sony Computer Science Laboratory (CSL) in Paris, France. During this period, he was also associated with the Bordeaux Computer Science Research Laboratory (LaBRI) as the chief scientist in two technology maturation projects. Currently, he holds a Staff Researcher position at Dolby Sweden in Stockholm, Sweden, spending his free research time at the KTH Royal Institute of Technology.
His main research interests are in digital music and audio signal processing and related fields. This includes music analysis, transformation, and synthesis, audio source separation and enhancement, audio feedback and echo cancellation, audio coding and transmission, multichannel audio processing, automatic music transcription, algorithmic composition, creative machine learning and machine improvisation.

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