GB201904719D0 - 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

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Publication number
GB201904719D0
GB201904719D0 GBGB1904719.0A GB201904719A GB201904719D0 GB 201904719 D0 GB201904719 D0 GB 201904719D0 GB 201904719 A GB201904719 A GB 201904719A GB 201904719 D0 GB201904719 D0 GB 201904719D0
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United Kingdom
Prior art keywords
categorizing
training
neural network
associated content
related system
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
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GBGB1904719.0A
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GB2584598A (en
GB2584598B (en
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Mashtraxx Ltd
Original Assignee
Mashtraxx Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Mashtraxx Ltd filed Critical Mashtraxx 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 MX2021012091A priority patent/MX2021012091A/en
Priority to CA3135936A priority patent/CA3135936A1/en
Priority to KR1020217035804A priority patent/KR20220002939A/en
Priority to BR112021019764A priority patent/BR112021019764A2/en
Priority to TW109111404A priority patent/TW202101431A/en
Priority to AU2020251747A priority patent/AU2020251747A1/en
Priority to JP2021560426A priority patent/JP2022528564A/en
Priority to EP20718732.9A priority patent/EP3931721A1/en
Priority to PCT/GB2020/050865 priority patent/WO2020201746A1/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/US12131261B2/en
Application granted granted Critical
Publication of GB2584598B publication Critical patent/GB2584598B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

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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

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • General Health & Medical Sciences (AREA)
  • Computational Linguistics (AREA)
  • Artificial Intelligence (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Evolutionary Computation (AREA)
  • Library & Information Science (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Databases & Information Systems (AREA)
  • Multimedia (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
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
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
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
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
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
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
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.
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.
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
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 US12131261B2 (en) 2019-04-03 2023-05-05 Artificial neural network trained to reflect human subjective responses

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

Publications (3)

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

Family

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GB1904719.0A Active 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

Country Status (1)

Country Link
GB (1) GB2584598B (en)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111126563A (en) * 2019-11-25 2020-05-08 中国科学院计算技术研究所 Twin network-based space-time data target identification method and system
CN111709249A (en) * 2020-05-29 2020-09-25 北京百度网讯科技有限公司 Multi-language model training method and device, electronic equipment and storage medium
CN111797194A (en) * 2020-05-20 2020-10-20 北京三快在线科技有限公司 Text risk detection method and device, electronic equipment and storage medium
CN111859981A (en) * 2020-06-17 2020-10-30 北京百度网讯科技有限公司 Language model acquisition and Chinese semantic understanding method, device and storage medium
CN113939870A (en) * 2019-08-15 2022-01-14 三星电子株式会社 Technique for learning valid music features for generation and retrieval based applications

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB2599441B (en) * 2020-10-02 2024-02-28 Emotional Perception Ai Ltd System and method for recommending semantically relevant content

Family Cites Families (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
US9098579B2 (en) * 2011-06-07 2015-08-04 Kodak Alaris Inc. 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
US10936653B2 (en) * 2017-06-02 2021-03-02 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
CN108648767B (en) * 2018-04-08 2021-11-05 中国传媒大学 Popular song emotion synthesis and classification method

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113939870A (en) * 2019-08-15 2022-01-14 三星电子株式会社 Technique for learning valid music features for generation and retrieval based applications
CN111126563A (en) * 2019-11-25 2020-05-08 中国科学院计算技术研究所 Twin network-based space-time data target identification method and system
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
CN111797194A (en) * 2020-05-20 2020-10-20 北京三快在线科技有限公司 Text risk detection method and device, electronic equipment and storage medium
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
CN111709249A (en) * 2020-05-29 2020-09-25 北京百度网讯科技有限公司 Multi-language model training method and device, electronic equipment and storage medium
CN111859981A (en) * 2020-06-17 2020-10-30 北京百度网讯科技有限公司 Language model acquisition and Chinese semantic understanding method, device 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

Also Published As

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GB2584598A (en) 2020-12-16
GB2584598B (en) 2024-02-14

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