3 papers
cs.SD2021
An Empirical Study on End-to-End Singing Voice Synthesis with Encoder-Decoder Architectures
Dengfeng Ke, Yuxing Lu, Xudong Liu +3
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 digi…
cs.SD2018
Audio-only Bird Species Automated Identification Method with Limited Training Data Based on Multi-Channel Deep Convolutional Neural Networks
Jiang-jian Xie, Chang-qing Ding, Wen-bin Li +1
Based on the transfer learning, we design a bird species identification model that uses the VGG-16 model (pretrained on ImageNet) for feature extraction, then a classifier consisti…
cs.AI2017
SLDR-DL: A Framework for SLD-Resolution with Deep Learning
Cheng-Hao Cai
This paper introduces an SLD-resolution technique based on deep learning. This technique enables neural networks to learn from old and successful resolution processes and to use le…