Nicolas Scheffer

Artificial Intelligence · 2014

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 6 citations into it; #10,504 of 35,345 by trust here, #16,166 by citations
• Signal Processing — 6 citations into it; #1,891 of 7,572 by trust here, #2,589 by citations

Whom Nicolas Scheffer trusts overall

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

1. Douglas A. Reynolds
2. William M. Campbell
3. Patrick Kenny
4. Geoffrey E. Hinton

Who trusts Nicolas Scheffer overall

1. David Snyder
2. Ming Li
3. Daniel Garcia-Romero
4. Fred Richardson
5. Weicheng Cai
6. Zhongxin Bai
7. Daniel Povey
8. Yan Song
9. Koji Okabe
10. Andros Tjandra

Papers from Nicolas Scheffer's perspective

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

1. Speaker Verification Using Adapted Gaussian Mixture Models
2. Front-End Factor Analysis for Speaker Verification
3. Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
4. A Study of Interspeaker Variability in Speaker Verification (IEEE Transactions on Audio, Speech, and Language Processing)
5. Support vector machines using GMM supervectors for speaker verification
6. ImageNet classification with deep convolutional neural networks
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• A novel scheme for speaker recognition using a phonetically-aware deep neural network (2014) — 627 citations