Massimiliano Todisco
Artificial Intelligence · 2008–2022
A researcher in the Science corpus: 12 papers; trusts 26 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 113 citations into it; #13,096 of 35,345 by trust here, #10,566 by citations
- Signal Processing — 100 citations into it; #1,940 of 7,572 by trust here, #1,241 by citations
- Speech & Audio — 58 citations into it
- Computer Vision and Pattern Recognition — 22 citations into it; #12,571 of 21,575 by trust here, #13,815 by citations
Whom Massimiliano Todisco trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Tomi H. Kinnunen
- Zhizheng Wu
- Md. Sahidullah
- N. Evans
- Junichi Yamagishi
- Xin Eric Wang
- Geoffrey E. Hinton
- Daniel Povey
- Alex Graves
- Yoshua Bengio
Who trusts Massimiliano Todisco overall
- Xin Eric Wang
- Junichi Yamagishi
- Héctor Delgado
- Tomi H. Kinnunen
- Hemlata Tak
- N. Evans
- Yuan Gong
- You Zhang
- Jee-weon Jung
- Md. Sahidullah
Papers from Massimiliano Todisco's perspective
Ordered by how strongly the researchers Massimiliano Todisco 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
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- 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
- 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
- IEEE Transactions on Neural Networks (2008)