Olivier Siohan

Artificial Intelligence · 2014–2021

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it
• Signal Processing — 25 citations into it
• Speech & Audio — 17 citations into it

Whom Olivier Siohan trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Alex Graves

Papers from Olivier Siohan's perspective

Ordered by how strongly the researchers Olivier Siohan trusts endorse each paper. Same corpus, a different order for every researcher.

1. Large Scale Distributed Deep Networks
2. Sequence Transduction with Recurrent Neural Networks
3. Attention-Based Models for Speech Recognition
4. Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks
5. Librispeech: An ASR corpus based on public domain audio books
6. Listen, attend and spell: A neural network for large vocabulary conversational speech recognition
7. Long Short-Term Memory
8. Application of Pretrained Deep Neural Networks to Large Vocabulary Speech Recognition
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers

• A big data approach to acoustic model training corpus selection (2014) — 30 citations
• Bridging the gap between streaming and non-streaming ASR systems bydistilling ensembles of CTC and RNN-T models (2021) — 6 citations