Srikanth Cherla
Srikanth Cherla
Unity Technologies
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Cited by
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Towards fast, view-invariant human action recognition
S Cherla, K Kulkarni, A Kale, V Ramasubramanian
2008 IEEE Computer Society Conference on Computer Vision and Pattern …, 2008
Regression methods for virtual metrology of layer thickness in chemical vapor deposition
H Purwins, B Barak, A Nagi, R Engel, U Höckele, A Kyek, S Cherla, ...
IEEE/ASME Transactions on Mechatronics 19 (1), 1-8, 2013
An efficient shift-invariant model for polyphonic music transcription
E Benetos, S Cherla, T Weyde
An RNN-based music language model for improving automatic music transcription
S Sigtia, E Benetos, S Cherla, T Weyde, A Garcez, S Dixon
http://www. terasoft. com. tw/conf/ismir2014//proceedings …, 2014
StructureNet: Inducing Structure in Generated Melodies.
G Medeot, S Cherla, K Kosta, M McVicar, S Abdallah, M Selvi, ...
ISMIR, 725-731, 2018
Continuous audio analytics by HMM and viterbi decoding
V Ramasubramanian, R Karthik, S Thiyagarajan, S Cherla
2011 IEEE international conference on acoustics, speech and signal …, 2011
A Distributed Model For Multiple-Viewpoint Melodic Prediction.
S Cherla, T Weyde, A Garcez, M Pearce
ISMIR, 15-20, 2013
Generalising the discriminative restricted boltzmann machines
S Cherla, SN Tran, A d’Avila Garcez, T Weyde
International Conference on Artificial Neural Networks, 111-119, 2017
Discriminative learning and inference in the Recurrent Temporal RBM for melody modelling
S Cherla, SN Tran, AA Garcez, T Weyde
2015 International Joint Conference on Neural Networks (IJCNN), 1-8, 2015
Automatic phrase continuation from guitar and bass guitar melodies
S Cherla, H Purwins, M Marchini
Computer Music Journal 37 (3), 68-81, 2013
A framework for indexing human actions in video
K Kulkarni, S Cherla, A Kale, V Ramasubramanian
The 1st International Workshop on Machine Learning for Vision-based Motion …, 2008
Hybrid Long-and Short-Term Models of Folk Melodies.
S Cherla, SN Tran, T Weyde, ASA Garcez
ISMIR, 584-590, 2015
Audio analytics by template modeling and 1-pass DP based decoding.
S Cherla, V Ramasubramanian
INTERSPEECH, 2230-2233, 2010
Neural ProbabilisticModels for Melody Prediction, Sequence Labelling and Classification
S Cherla
City, University of London, 2016
Multiple Viewpiont Melodic Prediction with Fixed-Context Neural Networks.
S Cherla, T Weyde, ASA Garcez
ISMIR, 101-106, 2014
The Saxophone by Model and Measurement
T Smyth, S Cherla
Proceedings of the 9th Sound and Music Computing Conference 6, 2012
A neural probabilistic model for predicting melodic sequences
S Cherla, AA Garcez, T Weyde
International Workshop on Machine Learning and Music, 2013
Learning distributed representations for multiple-viewpoint melodic prediction
S Cherla, T Weyde, A Garcez, M Pearce
Linear-time sequence classification using restricted boltzmann machines
SN Tran, S Cherla, A Garcez, T Weyde
arXiv preprint arXiv:1710.02245, 2017
Incremental dataset definition for large scale musicological research
D Wolff, D Tidhar, E Benetos, E Dumon, S Cherla, T Weyde
Proceedings of the 1st International Workshop on Digital Libraries for …, 2014
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