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1. DE112019005226 - Datenverarabeitungsverfahren, Datenverarbeitungsvorrichtung und Datenverarbeitungsprogramm

Office
Germany
Application Number 112019005226
Application Date
Publication Number 112019005226
Publication Date 08.07.2021
Publication Kind T5
IPC
G06N 20/00
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
20Machine learning
G10H 1/00
GPHYSICS
10MUSICAL INSTRUMENTS; ACOUSTICS
HELECTROPHONIC MUSICAL INSTRUMENTS; INSTRUMENTS IN WHICH THE TONES ARE GENERATED BY ELECTROMECHANICAL MEANS OR ELECTRONIC GENERATORS, OR IN WHICH THE TONES ARE SYNTHESISED FROM A DATA STORE
1Details of electrophonic musical instruments
G10L 13/027
GPHYSICS
10MUSICAL INSTRUMENTS; ACOUSTICS
LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
13Speech synthesis; Text to speech systems
02Methods for producing synthetic speech; Speech synthesisers
027Concept to speech synthesisers; Generation of natural phrases from machine-based concepts
G10L 15/16
GPHYSICS
10MUSICAL INSTRUMENTS; ACOUSTICS
LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
15Speech recognition
08Speech classification or search
16using artificial neural networks
G10L 15/18
GPHYSICS
10MUSICAL INSTRUMENTS; ACOUSTICS
LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
15Speech recognition
08Speech classification or search
18using natural language modelling
CPC
G06N 3/0454
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
0454using a combination of multiple neural nets
G06N 3/0472
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
0472using probabilistic elements, e.g. p-rams, stochastic processors
G06N 3/088
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
08Learning methods
088Non-supervised learning, e.g. competitive learning
G10H 1/0025
GPHYSICS
10MUSICAL INSTRUMENTS; ACOUSTICS
HELECTROPHONIC MUSICAL INSTRUMENTS
1Details of electrophonic musical instruments
0008Associated control or indicating means
0025Automatic or semi-automatic music composition, e.g. producing random music, applying rules from music theory or modifying a musical piece
G10H 2210/031
GPHYSICS
10MUSICAL INSTRUMENTS; ACOUSTICS
HELECTROPHONIC MUSICAL INSTRUMENTS
2210Aspects or methods of musical processing having intrinsic musical character, i.e. involving musical theory or musical parameters or relying on musical knowledge, as applied in electrophonic musical tools or instruments
031Musical analysis, i.e. isolation, extraction or identification of musical elements or musical parameters from a raw acoustic signal or from an encoded audio signal
G10H 2210/071
GPHYSICS
10MUSICAL INSTRUMENTS; ACOUSTICS
HELECTROPHONIC MUSICAL INSTRUMENTS
2210Aspects or methods of musical processing having intrinsic musical character, i.e. involving musical theory or musical parameters or relying on musical knowledge, as applied in electrophonic musical tools or instruments
031Musical analysis, i.e. isolation, extraction or identification of musical elements or musical parameters from a raw acoustic signal or from an encoded audio signal
071for rhythm pattern analysis or rhythm style recognition
Applicants SONY Corporation
Inventors Akama Taketo
Agents MFG Patentanwälte Meyer-Wildhagen Meggle-Freund Gerhard PartG mbB
Priority Data 2018-197972 19.10.2018 JP
2019-061040 27.03.2019 JP
Title
(DE) Datenverarabeitungsverfahren, Datenverarbeitungsvorrichtung und Datenverarbeitungsprogramm
Abstract
(DE)

Diese Datenverarbeitungsvorrichtung (100) umfasst Folgendes: eine Extraktionseinheit (131), die erste Daten aus Elementen, die einen ersten Inhalt bilden, extrahiert; und eine Modellerzeugungseinheit (132), die trainierte Modelle erzeugt, die einen ersten Codierer (50), der einen ersten Merkmalswert, der der Merkmalswert für den ersten Inhalt ist, berechnet, und einen zweiten Codierer (55), der einen zweiten Merkmalswert, der ein Merkmalswert für die extrahierten ersten Daten ist, berechnet, besitzen. embedded image