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One Deep Music Representation to Rule Them All? : A comparative analysis of different representation learning strategies [article]

Jaehun Kim, Alan Hanjalic
2019 arXiv   pre-print
Since, however, most of the networks used to generate deep representations are trained using a single initial learning source, their representation is unlikely to be informative for all possible future  ...  The results of our experiments yield several insights on how to approach the design of methods for learning widely deployable deep data representations in the music domain.  ...  Finally, we thank editors and reviewers for their effort and constructive help to improve this work. representation learning, since the layers will then be fine-tuned to another dataset.  ... 
arXiv:1802.04051v4 fatcat:hb24znd47fcddjp7uziosnawjm

One deep music representation to rule them all? A comparative analysis of different representation learning strategies

Jaehun Kim, Julián Urbano, Cynthia C. S. Liem, Alan Hanjalic
2019 Neural computing & applications (Print)  
Since, however, most of the networks used to generate deep representations are trained using a single initial learning source, their representation is unlikely to be informative for all possible future  ...  sources, in order to learn music representations.  ...  Acknowledgements This work was carried out on the Dutch national e-infrastructure with the support of SURF Cooperative.  ... 
doi:10.1007/s00521-019-04076-1 fatcat:6a26scasg5fn5d3vciac3oa6pi

All-Owning Spectatorship [chapter]

2016 Otherness and the Media  
rules of recognition of dominating discourses as they articulate the signs of cultural difference and reimplicate them within the deferential relations of colonial power."104 Rather it seems to me more  ...  From other angles, but often using similar techniques and strategies, a number of Western feminist critics insist on the need to view sexual difference as a complex and shifting dialectic of projections  ... 
doi:10.4324/9781315515175-17 fatcat:gsdk7aa4xvaa7dnhknbzmurct4

One System to Rule them All: a Universal Intent Recognition System for Customer Service Chatbots [article]

Juan Camilo Vasquez-Correa, Juan Carlos Guerrero-Sierra, Jose Luis Pemberty-Tamayo, Juan Esteban Jaramillo, Andres Felipe Tejada-Castro
2021 arXiv   pre-print
Among the different intents that a chatbot is trained to recognize, there is a set of them that is universal to any customer service chatbot.  ...  At the same time, the proposed approach will be a suitable base model to train more specific chatbots by applying transfer learning strategies.  ...  All data are padded to the 95th percentile of the number of tokens (13) in order to be used as input for the considered deep learning architectures.  ... 
arXiv:2112.08261v1 fatcat:57ttgxakgbaj5exe3ju57jl3sm

"All of the Rules of Jazz"

Brian A. Miller
2020 Music Theory Online  
focus on the use of machine learning to imitate human styles.  ...  The attempt to implement a sort of Turing test for jazz, and interest from organizations like DARPA in the results, raises important questions about the nature of improvisation and musical style, but also  ...  According to the director of the GTCMT and project leader Gil Weinberg, "We gave the robot chord progressions, we taught him all of the rules of jazz based on machine learning and rules" (UN Web TV 2018  ... 
doi:10.30535/mto.26.3.6 fatcat:velagocoeffj5hea7q5ptyplgu

Opinions: All About Culture

Edgar H. Schein, Jana Costas, Gideon Kunda, Majken Schultz, Tomoko Hamada Connolly, Susan Wright, Gert Jan Hofstede, Dixon Wong Heung Wah
2015 Journal of Business Anthropology  
I think culture is a property of a group of some sort, reflecting the shared learning that the members have experienced in their efforts to survive, grow, and remain internally integrated.  ...  One of the commonest mistakes in recent usage is to link culture only to the inside "how we get along" components. I had the good fortune as a social psychologist to get my Ph.D. at  ...  Anyway, I chose population, focusing on animal behaviour and plant ecology, but I never forgot that reality is too complex for us to grasp it all using one level of analysis.  ... 
doi:10.22439/jba.v4i1.4792 fatcat:v2sq6hx6enfcpniai2dizj2jwa

MS-SincResNet: Joint learning of 1D and 2D kernels using multi-scale SincNet and ResNet for music genre classification [article]

Pei-Chun Chang, Yong-Sheng Chen, Chang-Hsing Lee
2021 arXiv   pre-print
Finally, the voting strategy is applied to summarize the classification results from all 3-second music clips.  ...  First, an input music signal is divided into a number of fixed-duration (3 seconds in this study) music clips, and the raw waveform of each music clip is fed into 1D MS-SincNet filter learning module to  ...  ACKNOWLEDGMENTS This work was supported in part by Ministry of Science and Technology, Taiwan (MOST-108-2221-E-216-005 and MOST-108-2221-E-009-066-MY3).  ... 
arXiv:2109.08910v1 fatcat:wobj7u4zk5cgloe346s6ox2ami

Mestizaje: The All-Inclusive Fiction [chapter]

Linnete Manrique
2018 Relating Worlds of Racism  
This project examines the historical development of the ideology of mestizaje (racial and cultural mixture) in relation to the making of Mexico as a nation and the consolidation of the figure of the mestizo  ...  My ultimate goal with this dissertation is to show how race and racism remain implicated in Mexican nationalism as they serve to determine the terms of belonging to the nation. 6  ...  them all to the same plane of civilization.  ... 
doi:10.1007/978-3-319-78990-3_6 fatcat:zh6dyxe2brbihflteqc2qqw6iq

Asian Social Science, Vo. 5, No. 12, December, 2009. All in one PDF file

Editor ASS
2009 Asian Social Science  
To measure their SRL skills, the Motivated Strategies for Learning Questionnaire was administered.  ...  This study investigated a cross-cultural comparison of self-regulated learning (SRL) skills between Korean and Filipino college students.  ...  I would like to thank the Sydney Conservatorium of Music providing me this opportunity to introduce Chinese violin music.  ... 
doi:10.5539/ass.v5n12p0 fatcat:2r76gjllp5gitlpwzwk2smbsta

Music Information Retrieval and Contemporary Classical Music: A Successful Failure

Carmine-Emanuele Cella
2020 Transactions of the International Society for Music Information Retrieval  
This paper is about the story of my relationship, as a contemporary music composer, with computational tools that are situated in the areas of signal processing, machine learning and music information  ...  I will show how these technologies tried to (unsuccessfully) shape my musical thinking and why I believe that some of them have come to an end.  ...  My statement, here, is that deep learning intended as a purely brute-force statistical learning strategy is coming to an end.  ... 
doi:10.5334/tismir.55 fatcat:rvytyjyozjf4jkeqnad6h5cyye

From artificial neural networks to deep learning for music generation: history, concepts and trends

Jean-Pierre Briot
2020 Neural computing & applications (Print)  
This paper provides a tutorial on music generation based on deep learning techniques.  ...  The motivation is in using the capacity of modern deep learning techniques to automatically learn musical styles from arbitrary musical corpora and then to generate musical samples from the estimated distribution  ...  support; and the various participants of our course on the topic 65 for their feedback.  ... 
doi:10.1007/s00521-020-05399-0 fatcat:yrjjfarnlbdphgaunk62luidg4

From Artificial Neural Networks to Deep Learning for Music Generation – History, Concepts and Trends [article]

Jean-Pierre Briot
2020 arXiv   pre-print
This paper provides a tutorial on music generation based on deep learning techniques.  ...  The motivation is in using the capacity of modern deep learning techniques to automatically learn musical styles from arbitrary musical corpora and then to generate musical samples from the estimated distribution  ...  support; and the various participants of our course on the topic 65 for their feedback.  ... 
arXiv:2004.03586v2 fatcat:tbuskpczorf37llv35xlhpavsa

Deep learning based mood tagging for Chinese song lyrics [article]

Jie Wang, Yilin Yang
2019 arXiv   pre-print
To achieve this goal, both machine-learning and deep-learning models have been studied and compared.  ...  In recent years, sentiment analysis of music has been widely used in the information retrieval systems, personalized recommendation systems and so on.  ...  First of all, this paper uses Word2Vec model to automatically train the vector representation of all the words in the 160,000 lyrics, and then combines them into a twodimensional matrix as the emotional  ... 
arXiv:1906.02135v2 fatcat:wsk54kecsrcfrdpgr3skcwerti

Unequal choosing [chapter]

Bridget Byrne, Carla De Tona
2019 All in the mix  
Yet it can also be perceived as a burden for parents as they negotiate a complex educational system governed by a proliferation of different types of schools with different rules of access.  ...  deep impact.  ...  a similar way to classical music or cricket can be understood as a cultured omnivorous and middle-class practice.  ... 
doi:10.7765/9781526139306.00005 fatcat:vvs6ov6q5vbqhe64x2krknxa3a

Deep Learning Techniques for Music Generation – A Survey [article]

Jean-Pierre Briot, Gaëtan Hadjeres, François-David Pachet
2019 arXiv   pre-print
This paper is a survey and an analysis of different ways of using deep learning (deep artificial neural networks) to generate musical content.  ...  This typology is bottom-up, based on the analysis of many existing deep-learning based systems for music generation selected from the relevant literature.  ...  Chapter 6 Challenges and Strategy provides an analysis of the various challenges that occur when applying deep learning techniques to music generation, as well as various strategies for addressing them  ... 
arXiv:1709.01620v4 fatcat:hma4znleorfpvh62cpupxu4fq4
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