Hemin Yang
2021
A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Papers from Hemin Yang's perspective
Ordered by how strongly the researchers Hemin Yang trusts endorse each paper. Same corpus, a different order for every researcher.
- Librispeech: An ASR corpus based on public domain audio books
- Audio Set: An ontology and human-labeled dataset for audio events
- Listen, attend and spell: A neural network for large vocabulary conversational speech recognition
- PyTorch: An Imperative Style, High-Performance Deep Learning Library
- Speech Enhancement with LSTM Recurrent Neural Networks and its Application to Noise-Robust ASR
- SEGAN: Speech Enhancement Generative Adversarial Network
- Towards Better Decoding and Language Model Integration in Sequence to Sequence Models
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Perceptual evaluation of speech quality (PESQ)-a new method for speech quality assessment of telephone networks and codecs
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
Their papers
- Human Listening and Live Captioning: Multi-Task Training for Speech Enhancement (2021) — 28 citations