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Found 4 papers, 1 papers with code
An Empirical Study on End-to-End Singing Voice Synthesis with Encoder-Decoder Architectures
With the rapid development of neural network architectures and speech processing models, singing voice synthesis with neural networks is becoming the cutting-edge technique of digital music production.
Trainable back-propagated functional transfer matrices
In experiments, it is demonstrated that the revised rules can be used to train a range of functional connections: 20 different functions are applied to neural networks with up to 10 hidden layers, and most of them gain high test accuracies on the MNIST database.
SLDR-DL: A Framework for SLD-Resolution with Deep Learning
This paper introduces an SLD-resolution technique based on deep learning.
Learning of Human-like Algebraic Reasoning Using Deep Feedforward Neural Networks
Briefly, in a reasoning system, a deep feedforward neural network is used to guide rewriting processes after learning from algebraic reasoning examples produced by humans.
