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The Piano Inpainting Application
[article]
2021
arXiv
pre-print
In this work, we present the Piano Inpainting Application (PIA), a generative model focused on inpainting piano performances, as we believe that this elementary operation (restoring missing parts of a ...
By uncovering an interesting synergy between Linear Transformers and our inpainting task, we are able to efficiently inpaint contiguous regions of a piano performance, which makes our model suitable for ...
In this paper, we propose the Piano Inpainting Application (PIA), a complete system for inpainting a piano performance. ...
arXiv:2107.05944v1
fatcat:mpej54s3inahxpqr3up5y7htfu
Audio inpainting with generative adversarial network
[article]
2020
arXiv
pre-print
The performance was compared with two different audio instruments (piano and guitar) and on virtuoso pianists together with a string orchestra. ...
We deal with the challenge of audio inpainting long range gaps (500 ms) using WGAN models. ...
The authors would like to thank SDSC for their support and in particularly Nathanal Perraudin for his constructive and insightful inputs and for helping to manage the project. ...
arXiv:2003.07704v1
fatcat:mkfmyfildjcxzhzsosibshbtgm
Sparse Non-Local Similarity Modeling for Audio Inpainting
2018
2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
and one must deal with missing data in the frames. ...
While joint sparse models and related algorithms have been widely studied, one important challenge is to locate such similar frames : the search must be adapted to the jointsparse model and should be fast ...
More recently, application to audio inpainting in the clipping case have been presented in [13] where the authors use dependencies between neighboring coefficients to improve the declipping algorithm ...
doi:10.1109/icassp.2018.8462187
dblp:conf/icassp/ToumiE18
fatcat:re2lyjvb6rfxlmoxihbbdtnoam
Image Inpainting: A Review
2019
Neural Processing Letters
With the improvement of image processing tools and the flexibility of digital image editing, automatic image inpainting has found important applications in computer vision and has also become an important ...
This paper is a brief review of the existing image inpainting approaches we first present a global vision on the existing methods for image inpainting. ...
The statements made herein are solely the responsibility of the authors. ...
doi:10.1007/s11063-019-10163-0
fatcat:b4n4h4ts7bchfl5s5kjikq4npy
Parallel and Flexible Sampling from Autoregressive Models via Langevin Dynamics
[article]
2021
arXiv
pre-print
We apply these techniques to autoregressive models in the visual and audio domains, with competitive results for audio source separation, super-resolution, and inpainting. ...
Autoregressive models are typically sampled sequentially, according to the transition dynamics defined by the model. ...
Select qualitative results for image inpainting
Piano Voice are presented in Figure 4. ...
arXiv:2105.08164v2
fatcat:sed6pvnne5gmpcev57isqbkpcm
Audio–visual object removal in 360-degree videos
2020
The Visual Computer
We propose a solution which incorporates direction acquired during the video inpainting process into the audio removal process. ...
Previous methods have solely focused on the visual aspect of object removal using video inpainting techniques, resulting in videos with unreasonable remaining sounds corresponding to the removed objects ...
)
2
Piano/maracas/violin
Piano
Static
Dynamic
Indoor
Off
3
Speaker/speaker
Speaker
Dynamic
Almost static
Outdoor
On (mainly birdsong)
Fig. 6 Video processing results of a certain frame ...
doi:10.1007/s00371-020-01918-1
fatcat:lb3epp5ucfgxln55xrdptjzrba
Gaussian modeling of mixtures of non-stationary signals in the Time-Frequency domain (HR-NMF)
2011
2011 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)
This model is estimated with a recursive implementation of the EM algorithm, that is successfully applied to source separation and audio inpainting. ...
However, unlike the High Resolution (HR) methods dedicated to mixtures of exponentials, its spectral resolution is limited by that of the underlying TF representation. ...
Other letters denote temporary variables used in the computations.
APPLICATIONS In order to illustrate the capabilities of HR-NMF, we consider two examples of straightforward applications. ...
doi:10.1109/aspaa.2011.6082264
dblp:conf/waspaa/Badeau11
fatcat:4hzen7slinhejmkvfoceutdeey
Depth Image Inpainting: Improving Low Rank Matrix Completion With Low Gradient Regularization
2017
IEEE Transactions on Image Processing
We consider the case of inpainting single depth images. Without corresponding color images, previous or next frames, depth image inpainting is quite challenging. ...
One natural solution is to regard the image as a matrix and adopt the low rank regularization just as inpainting color images. ...
The fast development of the RGB-D sensors, such as Microsoft Kinect, ASUS Xtion Pro and Intel Leap Motion, enables a variety of applications based on the depth information by providing depth images of ...
doi:10.1109/tip.2017.2718183
pmid:28644807
fatcat:7gn5cv5p7verbg6sfit5aj2zb4
Generation of Stereo Images Based on a View Synthesis Network
2020
Applied Sciences
We modified the appearance flow network to make it more general and suitable for our model. We also used a reference image to improve the inpainting method. ...
In addition, our model does not limit the size of the input image. ...
Figure 9 presents the results of piano. We eroded the objects to eliminate the noises along the edges caused by modified AFN and bicubic sampling. ...
doi:10.3390/app10093101
fatcat:ljmuv56s6bf2fapvbiftwjchf4
A Comprehensive Survey on Deep Music Generation: Multi-level Representations, Algorithms, Evaluations, and Future Directions
[article]
2020
arXiv
pre-print
In addition, we summarize the datasets suitable for diverse tasks, discuss the music representations, the evaluation methods as well as the challenges under different levels, and finally point out several ...
However, the development history, the model evolution, as well as the pros and cons of same music generation task have not been clearly illustrated. ...
The application of t-SNE is more extensive. ...
arXiv:2011.06801v1
fatcat:cixou3d2jzertlcpb7kb5x5ery
Multichannel High-Resolution NMF for Modeling Convolutive Mixtures of Non-Stationary Signals in the Time-Frequency Domain
2014
IEEE/ACM Transactions on Audio Speech and Language Processing
such as source separation and audio inpainting. ...
Among them, the recent high-resolution NMF (HR-NMF) model is able to take both phases and local correlations in each frequency band into account, and its potential has been illustrated in applications ...
ACKNOWLEDGMENT The authors would like to thank the anonymous reviewers for their very helpful suggestions. ...
doi:10.1109/taslp.2014.2341920
fatcat:htnpgtl3tbgapmqbhxbyy4vn5m
Convex nonnegative matrix factorization with missing data
2016
2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP)
The performance gap is particularly significant when the task of reconstruction becomes arduous, e.g. when the ratio of missing data is high, the noise is steep, or the complexity of data is high. ...
In this contribution, we propose to extend CNMF to the case where the data matrix and the dictionary have missing entries. ...
APPLICATION TO SPECTROGRAM INPAINTING In order to illustrate the performance of the proposed algorithm on real data, we consider spectrograms of piano music signals, which are known to be well modeled ...
doi:10.1109/mlsp.2016.7738910
dblp:conf/mlsp/HamonEF16
fatcat:s7w7oojf3raxvjb2v7lr25jtca
ARMAS: Active Reconstruction of Missing Audio Segments
[article]
2022
arXiv
pre-print
for audio inpainting) steganography provides. ...
Compared to existing methods, we show improvement in the inpainting performance in terms of signal-to-noise (SNR), the objective difference grade (ODG) and the Hansen's audio quality metric. ...
ACKNOWLEDGMENT We thank the reviewers for their neutrality in assessing this manuscript and for the constructive feedback. ...
arXiv:2111.10891v3
fatcat:7qvzsrzmozgzll3tqsm4pkdhri
Live Orchestral Piano, a system for real-time orchestral music generation
[article]
2017
arXiv
pre-print
This paper introduces the first system for performing automatic orchestration based on a real-time piano input. ...
We believe that it is possible to learn the underlying regularities existing between piano scores and their orchestrations by notorious composers, in order to automatically perform this task on novel piano ...
Then, the piano-roll representation used to process the scores is detailed. Finally, the application of the previously introduced models in this particular context is defined. ...
arXiv:1609.01203v2
fatcat:nsgjhcd44jcnrcdibdoax7riy4
Live Orchestral Piano, A System For Real-Time Orchestral Music Generation
2017
Proceedings of the SMC Conferences
Then, the piano-roll representation used to process the scores is detailed. Finally, the application of the previously introduced models in this particular context is defined. ...
Thus, it is possible to infer the approximationÔ(t) by clamping O (t − N ) , ..., O(t − 1) and P (t) to their known values and using the CD algorithm. This technique is known as inpainting [26] . ...
doi:10.5281/zenodo.1401985
fatcat:bo5xwdjlcbh5zd4fqjfk55zgpy
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