Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Srikanth Cherla"'
Autor:
Gabriele Medeot, Srikanth Cherla, Katerina Kosta, Matt McVicar, Samer Abdallah, Marco Selvi, Ed Newton-Rex, Kevin Webster
We present the StructureNet - a recurrent neural network for inducing structure in machine-generated compositions. This model resides in a musical structure space and works in tandem with a probabilistic music generation model as a modifying agent. I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10715b388c0186b0a250dd9e77f985e4
Publikováno v:
Artificial Neural Networks and Machine Learning – ICANN 2017 ISBN: 9783319686110
ICANN (2)
ICANN (2)
We present a novel theoretical result that generalises the Discriminative Restricted Boltzmann Machine (DRBM). While originally the DRBM was defined assuming the \(\{0, 1\}\)-Bernoulli distribution in each of its hidden units, this result makes it po
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd721e720f333e2d3c3102bff9a626e8
https://doi.org/10.1007/978-3-319-68612-7_13
https://doi.org/10.1007/978-3-319-68612-7_13
[TODO] Add abstract here.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::441ec80d6fd2d70bf097968d5e43b483
Publikováno v:
IJCNN
We are interested in modelling musical pitch sequences in melodies in the symbolic form. The task here is to learn a model to predict the probability distribution over the various possible values of pitch of the next note in a melody, given those lea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c859b13d2d17b688cae3e28daabc914
https://doi.org/10.1109/ijcnn.2015.7280691
https://doi.org/10.1109/ijcnn.2015.7280691
[TODO] Add abstract here.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::214e3640d002327cffc0e2afcebd76fb
Publikováno v:
DLfM@JCDL
Conducting experiments on large scale musical datasets often requires the definition of a dataset as a first step in the analysis process. This is a classification task, but metadata providing the relevant information is not always available or relia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c227e8de67f6f7a152d17d708046f5f
https://doi.org/10.1145/2660168.2660176
https://doi.org/10.1145/2660168.2660176
Autor:
Benjamin Lenz, Uwe Höckele, Gunter Pfeifer, Kurt Weinzierl, Hendrik Purwins, Srikanth Cherla, Andreas Kyek, Ahmed Nagi, Bernd Barak, Reiner Engel
Publikováno v:
Purwins, H, Barak, B, Nagi, A, Engel, R, Höckele, U, Kyek, A, Cherla, S, Lenz, B, Pfeifer, G & Weinzierl, K 2014, ' Regression Methods for Virtual Metrology of Layer Thickness in Chemical Vapor Deposition ', I E E E-A S M E Transactions on Mechatronics, vol. 19, no. 1, pp. 1-8 . https://doi.org/10.1109/TMECH.2013.2273435
The quality of wafer production in semiconductor manufacturing cannot always be monitored by a costly physical measurement. Instead of measuring a quantity directly, it can be predicted by a regression method (Virtual Metrology). In this paper, a sur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ca5182176352ff34eb66df1a0f22985
https://vbn.aau.dk/da/publications/2653d3c2-17bd-4403-bfa0-a9fa944cebf8
https://vbn.aau.dk/da/publications/2653d3c2-17bd-4403-bfa0-a9fa944cebf8
Publikováno v:
Cherla, S, Purwins, H & Marchini, M 2013, ' Automatic Phrase Continuation from Guitar and Bass guitar Melodies ', Computer Music Journal, vol. 37, no. 3, pp. 68-81 . https://doi.org/10.1162/COMJ_a_00184
A framework is proposed for generating interesting, musically similar variations of a given monophonic melody. The focus is on pop/rock guitar and bass guitar melodies with the aim of eventual extensions to other instruments and musical styles. It is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3064ede25eea3bcefc546c0f9156b701
https://vbn.aau.dk/ws/files/188848525/cmj_preprint.pdf
https://vbn.aau.dk/ws/files/188848525/cmj_preprint.pdf
Publikováno v:
ICASSP
We address the problem of audio analytics with respect to efficient modeling of audio classes and continuous decoding of audio stream to automatically segment and label the audio stream as required in audio indexing. We propose the use of left-to-rig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6b6c138b609d7aea236914b1dbde71d
https://doi.org/10.1109/icassp.2011.5946966
https://doi.org/10.1109/icassp.2011.5946966