G
Gerard Hotho
Researcher at Philips
Publications - 32
Citations - 858
Gerard Hotho is an academic researcher from Philips. The author has contributed to research in topics: Audio signal & Encoder. The author has an hindex of 16, co-authored 31 publications receiving 856 citations.
Papers
More filters
Journal Article
MPEG Spatial Audio Coding / MPEG Surround: Overview and Current Status
Jeroen Breebaart,Juergen Herre,Christof Faller,Jonas Röden,F Myburg,Sascha Disch,H Purnhagen,Gerard Hotho,Matthias Neusinger,C Kjörling,Werner Oomen +10 more
TL;DR: This poster presents a poster presented at the 2016 American Association for the Advancement of Science (Aes) conference on quantitative analysis of liquid chromatography for the determination of Na6(CO3)2, Na2SO4, and Na2CO3 of LaSalle-Bouchut-Boyaval.
Journal Article
Background, concept, and architecture for the recent MPEG surround standard on multichannel audio compression
Jeroen Breebaart,Gerard Hotho,Jeroen Koppens,Erik Gosuinus Petrus Schuijers,Werner Oomen,Steven van de Par +5 more
TL;DR: An overview of the recently finalized ISO/MPEG standard for multichannel audio compression MPEG Surround is provided, and results of subjective evaluations are included to demonstrate its efficiency.
Patent
Multi parametrisation based multi-channel reconstruction
TL;DR: In this article, an up-mixer is used to upmix the at least one base channel using at least two different upmixing parameters based on the first or the second upmixer mode indication (1005) so that at least three output channels are obtained.
MPEG Surround: The Forthcoming ISO Standard for Spatial Audio Coding
Lars Villemoes,Juergen Herre,Jeroen Breebaart,Gerard Hotho,Sascha Disch,Heiko Purnhagen,Kristofer Kjörling +6 more
TL;DR: The underlying concept and overview of the emerging MPEG Surround technology, including its rich feature set such as compatibility to traditional matrixed surround, the ability of employing manually produced downmix signals, and the provisions for binauralized decoding are described.
Patent
Temporal and spatial shaping of multi-channel audio signals
TL;DR: In this paper, a wave form parameter representation with the intermediate resolution can be used to shape a reconstructed channel to retrieve a channel having a signal envelope close to that one of the selected original channel.