Kevin El Haddad
Artificial Intelligence · 2015–2021
A researcher in the Science corpus: 7 papers; trusts 16 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 30 citations into it; #34,648 of 35,345 by trust here, #25,809 by citations
- Signal Processing — 19 citations into it
- Speech & Audio — 18 citations into it
- Experimental and Cognitive Psychology — 15 citations into it
- Social Psychology — 7 citations into it
- Natural Language Processing — 6 citations into it
- Generative Models — 5 citations into it
Whom Kevin El Haddad trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jürgen Trouvain
- Heiga Zen
- Stéphane Dupont
- Willibald F. Ruch
- Keiichi Tokuda
- Alan W. Black
- Junichi Yamagishi
- Thierry Dutoit
- Takao Kobayashi
- Paul Ekman
Who trusts Kevin El Haddad overall
Papers from Kevin El Haddad's perspective
Ordered by how strongly the researchers Kevin El Haddad 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
- WaveNet: A Generative Model for Raw Audio
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- 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
Their papers
- The Emotional Voices Database: Towards Controlling the Emotion Dimension in Voice Generation Systems (2018) — 111 citations
- Analysis and Assessment of Controllability of an Expressive Deep Learning-based TTS system (2021) — 8 citations
- Introducing AmuS: The Amused Speech Database (2017) — 25 citations
- An HMM-based speech-smile synthesis system: An approach for amusement synthesis (2015) — 24 citations
- Breath and repeat: An attempt at enhancing speech-laugh synthesis quality (2015) — 9 citations
- Speech-laughs: An HMM-based approach for amused speech synthesis (2015) — 28 citations
- An HMM approach for synthesizing amused speech with a controllable intensity of smile (2015) — 18 citations