GB2584598B - Method of training a neural network to reflect emotional perception and related system and method for categorizing and finding associated content - Google Patents

Method of training a neural network to reflect emotional perception and related system and method for categorizing and finding associated content Download PDF

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Publication number
GB2584598B
GB2584598B GB1904719.0A GB201904719A GB2584598B GB 2584598 B GB2584598 B GB 2584598B GB 201904719 A GB201904719 A GB 201904719A GB 2584598 B GB2584598 B GB 2584598B
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United Kingdom
Prior art keywords
categorizing
training
neural network
associated content
related system
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GB1904719.0A
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GB201904719D0 (en
GB2584598A (en
Inventor
Michael William Lyske Joseph
Kroher Nadine
Pikrakis Angelos
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Emotional Perception AI Ltd
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Emotional Perception AI Ltd
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Application filed by Emotional Perception AI Ltd filed Critical Emotional Perception AI Ltd
Priority to GB1904719.0A priority Critical patent/GB2584598B/en
Publication of GB201904719D0 publication Critical patent/GB201904719D0/en
Priority to US16/784,136 priority patent/US11080601B2/en
Priority to US16/784,144 priority patent/US11068782B2/en
Priority to EP20718732.9A priority patent/EP3931721A1/en
Priority to MX2021012091A priority patent/MX2021012091A/en
Priority to KR1020217035804A priority patent/KR20220002939A/en
Priority to BR112021019764A priority patent/BR112021019764A2/en
Priority to PCT/GB2020/050865 priority patent/WO2020201746A1/en
Priority to CA3135936A priority patent/CA3135936A1/en
Priority to AU2020251747A priority patent/AU2020251747A1/en
Priority to TW109111404A priority patent/TW202101431A/en
Priority to JP2021560426A priority patent/JP2022528564A/en
Priority to US17/039,069 priority patent/US20210012200A1/en
Publication of GB2584598A publication Critical patent/GB2584598A/en
Priority to US17/353,511 priority patent/US11494652B2/en
Priority to US17/369,204 priority patent/US20210383230A1/en
Priority to US17/752,950 priority patent/US11645532B2/en
Priority to US18/143,802 priority patent/US20230274149A1/en
Application granted granted Critical
Publication of GB2584598B publication Critical patent/GB2584598B/en
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/084—Backpropagation, e.g. using gradient descent
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/60—Information retrieval; Database structures therefor; File system structures therefor of audio data
    • G06F16/68—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/683—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/60—Information retrieval; Database structures therefor; File system structures therefor of audio data
    • G06F16/68—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/686—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using information manually generated, e.g. tags, keywords, comments, title or artist information, time, location or usage information, user ratings
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00—Handling natural language data
    • G06F40/30—Semantic analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
GB1904719.0A 2019-04-03 2019-04-03 Method of training a neural network to reflect emotional perception and related system and method for categorizing and finding associated content Active GB2584598B (en)

Priority Applications (17)

Application Number Priority Date Filing Date Title
GB1904719.0A GB2584598B (en) 2019-04-03 2019-04-03 Method of training a neural network to reflect emotional perception and related system and method for categorizing and finding associated content
US16/784,136 US11080601B2 (en) 2019-04-03 2020-02-06 Method of training a neural network to reflect emotional perception and related system and method for categorizing and finding associated content
US16/784,144 US11068782B2 (en) 2019-04-03 2020-02-06 Method of training a neural network to reflect emotional perception and related system and method for categorizing and finding associated content
TW109111404A TW202101431A (en) 2019-04-03 2020-04-01 Method of training a neural network to reflect emotional perception, related system and method for categorizing and finding associated content and related digital media file embedded with a multi-dimensional property vector
MX2021012091A MX2021012091A (en) 2019-04-03 2020-04-01 Method of training a neural network to reflect emotional perception, related system and method for categorizing and finding associated content and related digital media file embedded with a multi-dimensional property vector.
KR1020217035804A KR20220002939A (en) 2019-04-03 2020-04-01 Methods for training neural networks to reflect emotional perception, related systems and methods for classifying and discovering related content, and related digital media files with embedded multidimensional feature vectors
BR112021019764A BR112021019764A2 (en) 2019-04-03 2020-04-01 Method of training a neural network to reflect emotional perception, related system and method for categorizing and finding associated content and related digital media file embedded with a multidimensional property vector
PCT/GB2020/050865 WO2020201746A1 (en) 2019-04-03 2020-04-01 Method of training a neural network to reflect emotional perception, related system and method for categorizing and finding associated content and related digital media file embedded with a multi-dimensional property vector
CA3135936A CA3135936A1 (en) 2019-04-03 2020-04-01 Method of training a neural network to reflect emotional perception, related system and method for categorizing and finding associated content and related digital media file embedded with a multi-dimensional property vector
AU2020251747A AU2020251747A1 (en) 2019-04-03 2020-04-01 Method of training a neural network to reflect emotional perception, related system and method for categorizing and finding associated content and related digital media file embedded with a multi-dimensional property vector
EP20718732.9A EP3931721A1 (en) 2019-04-03 2020-04-01 Method of training a neural network to reflect emotional perception, related system and method for categorizing and finding associated content and related digital media file embedded with a multi-dimensional property vector
JP2021560426A JP2022528564A (en) 2019-04-03 2020-04-01 How to train neural networks to reflect emotional perception, related systems and methods for classifying and discovering associated content and related digital media files with embedded multidimensional property vectors.
US17/039,069 US20210012200A1 (en) 2019-04-03 2020-09-30 Method of training a neural network and related system and method for categorizing and recommending associated content
US17/353,511 US11494652B2 (en) 2019-04-03 2021-06-21 Method of training a neural network to reflect emotional perception and related system and method for categorizing and finding associated content
US17/369,204 US20210383230A1 (en) 2019-04-03 2021-07-07 Method of training a neural network to reflect emotional perception and related system and method for categorizing and finding associated content
US17/752,950 US11645532B2 (en) 2019-04-03 2022-05-25 Method of training a neural network to reflect emotional perception and related system and method for categorizing and finding associated content
US18/143,802 US20230274149A1 (en) 2019-04-03 2023-05-05 Predictive System Based on a Semantically Trained Artificial Neural Network and ANN

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
GB1904719.0A GB2584598B (en) 2019-04-03 2019-04-03 Method of training a neural network to reflect emotional perception and related system and method for categorizing and finding associated content

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GB201904719D0 GB201904719D0 (en) 2019-05-15
GB2584598A GB2584598A (en) 2020-12-16
GB2584598B true GB2584598B (en) 2024-02-14

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Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111126563B (en) * 2019-11-25 2023-09-29 中国科学院计算技术研究所 Target identification method and system based on space-time data of twin network
CN111797194B (en) * 2020-05-20 2024-04-02 北京三快在线科技有限公司 Text risk detection method and device, electronic equipment and storage medium
CN111709249B (en) * 2020-05-29 2023-02-24 北京百度网讯科技有限公司 Multi-language model training method and device, electronic equipment and storage medium
CN111859981B (en) * 2020-06-17 2024-03-26 北京百度网讯科技有限公司 Language model acquisition and Chinese semantic understanding method, device and storage medium
GB2599441B (en) * 2020-10-02 2024-02-28 Emotional Perception Ai Ltd System and method for recommending semantically relevant content

Citations (7)

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WO2010027509A1 (en) * 2008-09-05 2010-03-11 Sourcetone, Llc Music classification system and method
US20120316660A1 (en) * 2011-06-07 2012-12-13 Jiebo Luo Automatically selecting thematically representative music
US8484022B1 (en) * 2012-07-27 2013-07-09 Google Inc. Adaptive auto-encoders
CN108334617A (en) * 2018-02-07 2018-07-27 大连大学 The method of semantic-based music retrieval
US20180276540A1 (en) * 2017-03-22 2018-09-27 NextEv USA, Inc. Modeling of the latent embedding of music using deep neural network
CN108648767A (en) * 2018-04-08 2018-10-12 中国传媒大学 A kind of popular song emotion is comprehensive and sorting technique
US20180349492A1 (en) * 2017-06-02 2018-12-06 Apple Inc. Automatically Predicting Relevant Contexts For Media Items

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2010027509A1 (en) * 2008-09-05 2010-03-11 Sourcetone, Llc Music classification system and method
US20120316660A1 (en) * 2011-06-07 2012-12-13 Jiebo Luo Automatically selecting thematically representative music
US8484022B1 (en) * 2012-07-27 2013-07-09 Google Inc. Adaptive auto-encoders
US20180276540A1 (en) * 2017-03-22 2018-09-27 NextEv USA, Inc. Modeling of the latent embedding of music using deep neural network
US20180349492A1 (en) * 2017-06-02 2018-12-06 Apple Inc. Automatically Predicting Relevant Contexts For Media Items
CN108334617A (en) * 2018-02-07 2018-07-27 大连大学 The method of semantic-based music retrieval
CN108648767A (en) * 2018-04-08 2018-10-12 中国传媒大学 A kind of popular song emotion is comprehensive and sorting technique

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GB2584598A (en) 2020-12-16

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