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1. WO2020071696 - METHOD FOR PROVIDING COMPANION ANIMAL SOUND SERVICE BY USING DEEP NEURAL NETWORK MACHINE LEARNING-BASED ARTIFICIAL INTELLIGENCE

Publication Number WO/2020/071696
Publication Date 09.04.2020
International Application No. PCT/KR2019/012653
International Filing Date 27.09.2019
IPC
G06Q 50/10 2012.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
50Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
10Services
G06N 20/00 2019.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
20Machine learning
G06N 3/02 2006.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
G10L 15/26 2006.01
GPHYSICS
10MUSICAL INSTRUMENTS; ACOUSTICS
LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
15Speech recognition
26Speech to text systems
CPC
G06N 20/00
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
20Machine learning
G06N 3/02
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
G06Q 50/10
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
50Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
10Services
G10L 15/26
GPHYSICS
10MUSICAL INSTRUMENTS; ACOUSTICS
LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
15Speech recognition
26Speech to text systems
Applicants
  • 임성기 LIM, Sung Ki [KR]/[KR]
Inventors
  • 임성기 LIM, Sung Ki
  • 임명기 LIM, Myung Ki
Agents
  • 전종학 JEON, Jonghag
Priority Data
10-2018-011840104.10.2018KR
10-2019-000863923.01.2019KR
Publication Language Korean (KO)
Filing Language Korean (KO)
Designated States
Title
(EN) METHOD FOR PROVIDING COMPANION ANIMAL SOUND SERVICE BY USING DEEP NEURAL NETWORK MACHINE LEARNING-BASED ARTIFICIAL INTELLIGENCE
(FR) PROCÉDÉ POUR FOURNIR UN SERVICE SONORE D'ANIMAL DE COMPAGNIE À L'AIDE D'UNE INTELLIGENCE ARTIFICIELLE BASÉE SUR UN APPRENTISSAGE AUTOMATIQUE DE RÉSEAU NEURONAL PROFOND
(KO) 심층 신경회로망 머신러닝 기반의 인공지능을 이용한 반려동물 소리 서비스 제공 방법
Abstract
(EN)
Disclosed is a method for providing a companion animal sound service by using deep neural network machine learning-based artificial intelligence. The method comprises the steps of: requesting, by a management server, recording and uploading of sounds corresponding to each intention or feeling of a companion animal of a user to a companion animal application executed in a user terminal; uploading, by the companion animal application, data of the requested and recorded sounds corresponding to each intention or feeling of the companion animal of the user to the management server; training, by the management server, a deep neural network machine learning-based artificial intelligence model with the uploaded data of the sounds corresponding to each intention or feeling; providing, by the management server, the trained artificial intelligence model to the companion animal application; and generating, by the companion animal application, sounds for the companion animal, which correspond to a user input, and outputting the sounds via a speaker.
(FR)
L'invention concerne un procédé destiné à fournir un service sonore d'animal de compagnie à l'aide d'une intelligence artificielle basée sur un apprentissage automatique de réseau neuronal profond. Le procédé comprend les étapes consistant à : demander, au moyen d'un serveur de gestion, l'enregistrement et le téléchargement de sons correspondant à chaque intention ou sentiment d'un animal de compagnie d'un utilisateur à une application d'animal de compagnie exécutée dans un terminal utilisateur ; télécharger, au moyen de l'application d'animal de compagnie, des données des sons demandés et enregistrés correspondant à chaque intention ou sentiment de l'animal de compagnie de l'utilisateur sur le serveur de gestion ; entraîner, au moyen du serveur de gestion, un modèle d'intelligence artificielle basé sur un apprentissage automatique de réseau neuronal profond avec les données téléchargées des sons correspondant à chaque intention ou sentiment ; fournir, au moyen du serveur de gestion, le modèle d'intelligence artificielle entraîné à l'application d'animal de compagnie ; et générer, au moyen de l'application d'animal de compagnie, des sons pour l'animal de compagnie, qui correspondent à une entrée d'utilisateur, et diffuser les sons par l'intermédiaire d'un haut-parleur.
(KO)
심층 신경회로망 머신러닝 기반의 인공지능을 이용한 반려동물 소리 서비스 제공 방법이 개시된다. 이 방법은 관리 서버가 사용자 단말에서 실행되는 반려동물 애플리케이션으로 사용자 반려동물의 의사 또는 감정별 소리 녹음 및 업로드를 요청하는 단계, 반려동물 애플리케이션이 요청된 의사 또는 감정별 녹음된 사용자 반려동물의 소리 데이터를 관리 서버로 업로드하는 단계, 관리 서버가 업로드된 의사 또는 감정별 소리 데이터로 심층 신경회로망 머신러닝(Deep Neural Network Machine Learning) 기반의 인공지능 모델을 학습시키는 단계, 관리 서버가 학습 완료한 인공지능 모델을 반려동물 애플리케이션으로 제공하는 단계, 및 반려동물 애플리케이션이 사용자 입력에 해당하는 반려동물용 소리를 인공지능 모델을 이용해 생성하여 스피커를 통해 출력하는 단계를 포함한다.
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