Johannes Wirth
Speech & Audio · 2021
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Speech & Audio — 7 citations into it
Whom Johannes Wirth trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Johannes Wirth's perspective
Ordered by how strongly the researchers Johannes Wirth trusts endorse each paper. Same corpus, a different order for every researcher.
- WaveNet: A Generative Model for Raw Audio
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Librispeech: An ASR corpus based on public domain audio books
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
Their papers
- HUI-Audio-Corpus-German: A high quality TTS dataset (2021) — 28 citations