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1. WO2020139588 - ROOM ACOUSTICS SIMULATION USING DEEP LEARNING IMAGE ANALYSIS

Publication Number WO/2020/139588
Publication Date 02.07.2020
International Application No. PCT/US2019/066315
International Filing Date 13.12.2019
IPC
H04S 7/00 2006.01
HELECTRICITY
04ELECTRIC COMMUNICATION TECHNIQUE
SSTEREOPHONIC SYSTEMS
7Indicating arrangements; Control arrangements, e.g. balance control
G06F 30/20 2020.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
FELECTRIC DIGITAL DATA PROCESSING
30Computer-aided design
20Design optimisation, verification or simulation
G06K 9/00 2006.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
G06T 17/20 2006.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
173D modelling for computer graphics
20Wire-frame description, e.g. polygonalisation or tessellation
CPC
G06F 2119/10
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
FELECTRIC DIGITAL DATA PROCESSING
2119Details relating to the type or aim of the analysis or the optimisation
10Noise analysis or noise optimisation
G06F 30/13
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
FELECTRIC DIGITAL DATA PROCESSING
30Computer-aided design [CAD]
10Geometric CAD
13Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
G06F 30/27
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
FELECTRIC DIGITAL DATA PROCESSING
30Computer-aided design [CAD]
20Design optimisation, verification or simulation
27using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
G06K 9/00664
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
00624Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
00664Recognising scenes such as could be captured by a camera operated by a pedestrian or robot, including objects at substantially different ranges from the camera
G06N 3/0445
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
04Architectures, e.g. interconnection topology
0445Feedback networks, e.g. hopfield nets, associative networks
G06N 3/08
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
08Learning methods
Applicants
  • DTS, INC. [US]/[US]
Inventors
  • WALSH, Martin
  • MCDONAGH, Aoife
  • GOODWIN, Michael, M.
  • STEIN, Edward
  • CORCORAN, Peter
Agents
  • FASULO, Albert II
Priority Data
62/784,64824.12.2018US
Publication Language English (EN)
Filing Language English (EN)
Designated States
Title
(EN) ROOM ACOUSTICS SIMULATION USING DEEP LEARNING IMAGE ANALYSIS
(FR) SIMULATION ACOUSTIQUE D'UNE PIÈCE À L'AIDE D'UNE ANALYSE D'IMAGE À APPRENTISSAGE PROFOND
Abstract
(EN)
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.
(FR)
L'invention concerne un procédé consistant à : recevoir une image d'un environnement du monde réel; utiliser un classificateur d'apprentissage automatique, classer l'image afin de produire des classifications associées à des préréglages acoustiques pour une simulation d'environnement acoustique, les préréglages acoustiques comprenant chacun des paramètres acoustiques qui représentent une réverbération sonore; et sélectionner un préréglage acoustique parmi les préréglages acoustiques d'après les classifications.
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