Nobuyuki Morioka

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 41 citations into it

Whom Nobuyuki Morioka trusts overall

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

1. Ye Jia

Papers from Nobuyuki Morioka's perspective

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

1. Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks
2. Cross-lingual Language Model Pretraining
3. Overcoming catastrophic forgetting in neural networks
4. Improved Noisy Student Training for Automatic Speech Recognition
5. Conformer: Convolution-augmented Transformer for Speech Recognition
6. Leveraging Weakly Supervised Data to Improve End-to-end Speech-to-text Translation
7. MLS: A Large-Scale Multilingual Dataset for Speech Research
8. Speech recognition and keyword spotting for low-resource languages: Babel project research at CUED
9. SpanBERT: Improving Pre-training by Representing and Predicting Spans
10. mSLAM: Massively multilingual joint pre-training for speech and text

Their papers

• Leveraging unsupervised and weakly-supervised data to improve direct speech-to-speech translation (2022) — 25 citations