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Neural Style Transfer for Audio Spectograms
[article]
2018
arXiv
pre-print
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In our work, we present a method for creating new sounds using a similar approach, treating it as a style-transfer problem, starting from a random-noise input signal and iteratively using back-propagation ...
This was revolutionary in how we can in some sense alter the 'style' of an image while generally preserving its 'content'. ...
We believe this work can be extended to many new audio synthesis/modification techniques based on new loss-term formulations for the problem of interest, and are excited to see and hear what lies ahead ...
arXiv:1801.01589v1
fatcat:6bz3hnvugjbu7ookhsajfkws4q
Using a Solution Construction Algorithm for Cyclic Shift Network Coding under Multicast Network to the Transformation of Musical Performance Styles
2021
Complexity
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, extracts musical implicit style from the note matrix based on autoencoder, and better eliminates the potential influence of musical content on musical performance style. ...
It overcomes the problem that the piano roll-curtain representation cannot distinguish between a single long note and multiple consecutive notes of the same pitch, describes musical information more comprehensively ...
is considered as an optimization problem, where the music will be optimized according to different objectives. e method is mainly oriented towards monophonic symbolic music but can be easily extended ...
doi:10.1155/2021/9993396
doaj:0b6a86cd576f4454ae607c46d705d654
fatcat:tyjuj3lxjrgarpjem363jhc7am
Direct And Inverse Inference In Music Databases: How To Make At Song Funk?
2008
Zenodo
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We set tradeoff parameter ߣ ൌ ͳͲͲͲ so that in the optimization process, an additional modification is only accepted if it increases the probability of being 'Funk' by at least 0.01. ...
Problem Statement In the context of our Boolean multi-attribute database, we can formulate our problem as follows. ...
doi:10.5281/zenodo.1416486
fatcat:uwddmfqsavha3nkypvajax62xa
Music Style Transfer: A Position Paper
[article]
2018
arXiv
pre-print
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As a result, depending on their interpretation of "music style", current studies under the category of "music style transfer", are actually solving completely different problems that belong to a variety ...
transfer, as well as to connect different aspects of music style transfer with existing well-established sub-fields of computer music studies. ...
Without further action, an accumulated upcoming literature all named after "music style transfer" would lead to a great confusion of the underlying problems to the readers as well as a risk to ignore the ...
arXiv:1803.06841v4
fatcat:szawbtzbjvgkrgbfollnryutru
Music Style Transfer: A Position Paper
2018
Zenodo
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As a result, depending on their interpretation of "music style", current studies under the category of "music style transfer", are actually solving completely different problems that belong to a variety ...
transfer, as well as to connect different aspects of music style transfer with existing well-established sub-fields of computer music studies. ...
Without further action, an accumulated upcoming literature all named after "music style transfer" would lead to a great confusion of the underlying problems to the readers as well as a risk to ignore the ...
doi:10.5281/zenodo.4285179
fatcat:ywwc37deffcjfnvbdcyz2cf6ca
Motivic Pattern Classification of Music Audio Signals Combining Residual and LSTM Networks
2021
International Journal of Interactive Multimedia and Artificial Intelligence
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In this paper, CNN architectures are tested in a more nuanced problem: flamenco cantes intra-style classification using small motivic patterns. ...
little or no modifications to the networks. ...
From an information-theoretic stand point, it can be argued that reducing the amount of irrelevant information to the task will act as an implicit optimizer for the neural architectures, while at the same ...
doi:10.9781/ijimai.2021.01.003
fatcat:bchjriosjfgylgu626dvet3y5a
AntsOMG: A Framework Aiming to Automate Creativity and Intelligent Behavior with a Showcase on Cantus Firmus Composition and Style Development
2020
Electronics
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Although the mechanism in ACO is adopted for simulating ant behavior, AntsOMG is not designed as an optimization framework. ...
Hence, in the present work, attempting to achieve cantus firmus composition and style development as well as inspired by the behavior of natural ants and the mechanism of ant colony optimization (ACO), ...
Please note that the evaluation function here is not an objective function, as those existing in an optimization task. ...
doi:10.3390/electronics9081212
fatcat:gl3kr5thkre2jh4x3wfj7lzjym
Accent modification for speech recognition of non-native speakers using neural style transfer
2021
EURASIP Journal on Audio, Speech, and Music Processing
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, we address the problem and its influence on the accuracy of ASR systems, using the style transfer methodology. ...
This paper covers experiments for accent modification using different setups and different approaches, including neural style transfer and autoencoder. ...
To briefly explain the problem of the graphical style transfer, we try to modify an image in a way that its style resembles the style of another, a so-called style image. ...
doi:10.1186/s13636-021-00199-3
fatcat:536y6julaffmtmrrh3k4axselq
FuX, an Android app that generates counterpoint
2013
2013 IEEE Symposium on Computational Intelligence for Creativity and Affective Computing (CICAC)
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This algorithm is a modification of an algorithm developed previously by the authors to generate musical fragments of a pre-specified length [28] . ...
The objective function used to evaluate the quality of the fragment is based on a quantification of the extensive rules of this musical style. ...
In order to do this, the composition process is modeled as a combinatorial optimization problem. The objective is to find the right combination of notes so that the music can be considered as "good". ...
doi:10.1109/cicac.2013.6595220
dblp:conf/cicac/HerremansS13
fatcat:fd2kx6pjuvf2fajaybop52vxxa
Synthesis of Dance Performance Based on Analyses of Human Motion and Music
2008
IPSJ Online Transactions
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To meet this need, we are focusing on dance performance as an experimental subject. ...
In most cases, human movements, however, are induced by external signals: people first receive visual information such as environmental obstacles from eyes, or audio information such as speech or music ...
This application will also enable a humanoid robot to dance to music as an entertainment robot.
Locally optimal method Globally optimal method
Pros It is always possible to find a solution. ...
doi:10.2197/ipsjtrans.1.80
fatcat:v3bk4lbhdvavbps3iuzke5jqk4
Sound-Guided Semantic Image Manipulation
[article]
2021
arXiv
pre-print
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However, manipulating an image with other sources rather than text, such as sound, is not easy due to the dynamic characteristics of the sources. ...
We use a direct latent optimization method based on aligned embeddings for sound-guided image manipulation. ...
Music Style Transfer. Our method has a potential to reflect the mood of the music into the image style. Fig. 10 illustrates the results of image style transfer with various music genres. ...
arXiv:2112.00007v1
fatcat:rcv7bt5ppvfihc57kqfa4d2pau
Towards Real-Time DNN Inference on Mobile Platforms with Model Pruning and Compiler Optimization
2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence
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This demo shows that these optimizations can enable real-time mobile execution of multiple DNN applications, including style transfer, DNN coloring and super resolution. ...
To address this problem, we propose a set of hardware-friendly structured model pruning and compiler optimization techniques to accelerate DNN executions on mobile devices. ...
., 2018] as generative learners; and (3) the definition of an optimization strategy for exploring the autoencoder latent space during generation. ...
doi:10.24963/ijcai.2020/751
dblp:conf/ijcai/BorghuisABF20
fatcat:nc5vj3jqinf6xku3upby5hnldy
BumbleBee: A Transformer for Music
[article]
2021
arXiv
pre-print
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We will introduce BumbleBee, a transformer model that will generate MIDI music data . ...
We will compare our results to that of the music transformer and Long-Short term memory (LSTM) to benchmark our results. ...
We are using as our base code the music transformer implementation we found on github, with our own modifications allowing the code to run in our environment and reducing the data size. ...
arXiv:2107.03443v1
fatcat:osojg37sevf77eksxsdkohnqau
Review-Driven Multi-Label Music Style Classification by Exploiting Style Correlations
[article]
2018
arXiv
pre-print
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This task requires the system to identify multiple styles of music based on its reviews on websites. The biggest challenge lies in the complicated relations of music styles. ...
To tackle this problem, we propose a novel deep learning approach to automatically learn and exploit style correlations. ...
Introduction As music style (e.g., Jazz, Pop, and Rock) is one of the most frequently used labels for music, music style classification is an important task for applications of music recommendation, music ...
arXiv:1808.07604v1
fatcat:lphfu7ftivampoulaqv55oe5dq
A Joyful Ode to Automatic Orchestration
2016
ACM Transactions on Intelligent Systems and Technology
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In this article, we report on a specific experiment in holistic music generation: the reorchestration of Beethoven's Ode to Joy, the European anthem, in seven styles. ...
We stress the benefits of having had such a challenging and unifying goal, and the interesting problems and challenges it raised along the way. ...
ACKNOWLEDGMENTS This article is an account of work performed by the whole SONY CSL music team: Benoit Carré, Emmanuel Deruty, Fiammetta Ghedini, Gaétan Hadjeres, Marco Marchini, Dani Martín, Timothée Neullas ...
doi:10.1145/2897738
fatcat:z4o57gypzfcafgbjzt6mvsstxe
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