N. Evans
Artificial Intelligence · Interspeech · 2010–2022
A researcher in the Science corpus: 16 papers; trusts 44 researchers and is trusted by 17 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 143 citations into it; #10,304 of 35,345 by trust here, #6,664 by citations
- Signal Processing — 133 citations into it; #1,406 of 7,572 by trust here, #638 by citations
- Speech & Audio — 74 citations into it
- Computer Vision and Pattern Recognition — 43 citations into it; #12,581 of 21,575 by trust here, #13,815 by citations
- Information Systems — 15 citations into it
- Optimization & Training — 10 citations into it
Whom N. Evans trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Patrick Kenny
- Massimiliano Todisco
- Zhizheng Wu
- Tomi H. Kinnunen
- Geoffrey E. Hinton
- Keiichi Tokuda
- Junichi Yamagishi
- Heiga Zen
- Ivana Chingovska
- Tomoki Toda
Who trusts N. Evans overall
- Massimiliano Todisco
- Héctor Delgado
- Junichi Yamagishi
- Xin Eric Wang
- Tomi H. Kinnunen
- Md. Sahidullah
- Yuan Gong
- You Zhang
- Xuechen Liu
- Berrak Sisman
Papers from N. Evans's perspective
Ordered by how strongly the researchers N. Evans trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
Their papers
- Speaker Diarization: A Review of Recent Research (2010) — 756 citations
- Biometrics Systems Under Spoofing Attack: An evaluation methodology and lessons learned (2015) — 202 citations
- Automatic speaker verification spoofing and deepfake detection using wav2vec 2.0 and data augmentation (2022) — 321 citations
- ASVspoof 2021: Towards Spoofed and Deepfake Speech Detection in the Wild (2022) — 398 citations
- ASVspoof 2021: Automatic Speaker Verification Spoofing and Countermeasures Challenge Evaluation Plan (2021) — 91 citations
- ASVspoof 2021: accelerating progress in spoofed and deepfake speech detection (2021) — 541 citations
- AASIST: Audio Anti-Spoofing Using Integrated Spectro-Temporal Graph Attention Networks (2021) — 580 citations
- ASVspoof 2019: Automatic Speaker Verification Spoofing and Countermeasures Challenge Evaluation Plan ∗ (2021)
- End-to-End anti-spoofing with RawNet2 (2020) — 551 citations
- ASVspoof 2019: A large-scale public database of synthesized, converted and replayed speech (2019) — 651 citations
- ASVspoof 2019: Future Horizons in Spoofed and Fake Audio Detection (2019) — 822 citations
- Constant Q cepstral coefficients: A spoofing countermeasure for automatic speaker verification (2017) — 485 citations
- The ASVspoof 2017 Challenge: Assessing the Limits of Replay Spoofing Attack Detection (2017) — 605 citations
- A New Feature for Automatic Speaker Verification Anti-Spoofing: Constant Q Cepstral Coefficients (2016) — 381 citations
- Spoofing and countermeasures for speaker verification: A survey (2015) — 705 citations
- ASVspoof 2015: the first automatic speaker verification spoofing and countermeasures challenge (2015) — 594 citations