| Neural User Simulation for Corpus-based Policy Optimisation for Spoken Dialogue Systems F Kreyssig, I Casanueva, P Budzianowski, M Gasic Proceedings of the 19th Annual SIGdial Meeting on Discourse and Dialogue, 2018 | 85 | 2018 |
| Transferable dialogue systems and user simulators BH Tseng, Y Dai, F Kreyssig, B Byrne arXiv preprint arXiv:2107.11904, 2021 | 56 | 2021 |
| Discriminative neural clustering for speaker diarisation Q Li*, FL Kreyssig*, C Zhang, PC Woodland 2021 IEEE Spoken Language Technology (SLT), 2021 | 53 | 2021 |
| Improved TDNNs using deep kernels and frequency dependent Grid-RNNs F Kreyssig, C Zhang, P Woodland ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2018 | 27 | 2018 |
| Variational cross-domain natural language generation for spoken dialogue systems BH Tseng, F Kreyssig, P Budzianowski, I Casanueva, YC Wu, S Ultes, ... Proceedings of the 19th Annual SIGdial Meeting on Discourse and Dialogue, 2018 | 14 | 2018 |
| PyHTK: Python library and ASR pipelines for HTK C Zhang, FL Kreyssig, Q Li, PC Woodland ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 13 | 2019 |
| Feudal dialogue management with jointly learned feature extractors I Casanueva, P Budzianowski, S Ultes, F Kreyssig, BH Tseng, YC Wu, ... Proceedings of the 19th Annual SIGdial Meeting on Discourse and Dialogue …, 2018 | 13 | 2018 |
| A Distributed Optimisation Framework Combining Natural Gradient with Hessian-Free for Discriminative Sequence Training A Haider*, C Zhang*, FL Kreyssig, PC Woodland arXiv preprint arXiv:2103.07554, 2021 | 8 | 2021 |
| Cosine-distance virtual adversarial training for semi-supervised speaker-discriminative acoustic embeddings FL Kreyssig, PC Woodland arXiv preprint arXiv:2008.03756, 2020 | 5 | 2020 |
| Deep Learning for User Simulation in a Dialogue System FL Kreyssig University of Cambridge, 2018 | 5 | 2018 |
| Biased Self-Supervised Learning for ASR FL Kreyssig, Y Shi, J Guo, L Sari, A Mohamed, PC Woodland arXiv preprint arXiv:2211.02536, 2022 | 4 | 2022 |
| Active and Semi-Supervised Learning for Speech Recognition F Kreyssig | | 2024 |
| Experimental Studies on Teacher-student Training of Deep Neural Network Acoustic Models Q Li, C Zhang, FL Kreyssig, PC Woodland UK Speech, 2017 | | 2017 |
| Modular Construction of Complex Deep Learning Architectures in HTK F Kreyssig, C Zhang, P Woodland UK Speech, 2017 | | 2017 |
Philip WoodlandProfessor of Information Engineering, Cambridge University Engineering Department在 eng.cam.ac.uk 的电子邮件经过验证
