Florian L. Kreyssig

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 10

Top Topics

Discriminative Training

Acoustic Models

Unsupervised Learning

Speech Recognition

Top Venues

Publications

Florian L. Kreyssig, Yangyang Shi, Jinxi Guo, Leda Sari, Abdel-rahman Mohamed, Philip C. Woodland
Biased Self-supervised Learning for ASR. INTERSPEECH (2023)
Florian L. Kreyssig, Yangyang Shi, Jinxi Guo, Leda Sari, Abdelrahman Mohamed, Philip C. Woodland
Biased Self-supervised learning for ASR. CoRR (2022)
Adnan Haider, Chao Zhang, Florian L. Kreyssig, Philip C. Woodland
A distributed optimisation framework combining natural gradient with Hessian-free for discriminative sequence training. Neural Networks 143 (2021)
Adnan Haider, Chao Zhang, Florian L. Kreyssig, Philip C. Woodland
A Distributed Optimisation Framework Combining Natural Gradient with Hessian-Free for Discriminative Sequence Training. CoRR (2021)
Qiujia Li, Florian L. Kreyssig, Chao Zhang, Philip C. Woodland
Discriminative Neural Clustering for Speaker Diarisation. SLT (2021)
Florian L. Kreyssig, Philip C. Woodland
Cosine-Distance Virtual Adversarial Training for Semi-Supervised Speaker-Discriminative Acoustic Embeddings. INTERSPEECH (2020)
Florian L. Kreyssig, Philip C. Woodland
Cosine-Distance Virtual Adversarial Training for Semi-Supervised Speaker-Discriminative Acoustic Embeddings. CoRR (2020)
Chao Zhang, Florian L. Kreyssig, Qiujia Li, Philip C. Woodland
PyHTK: Python Library and ASR Pipelines for HTK. ICASSP (2019)
Qiujia Li, Florian L. Kreyssig, Chao Zhang, Philip C. Woodland
Discriminative Neural Clustering for Speaker Diarisation. CoRR (2019)
Florian L. Kreyssig, Chao Zhang, Philip C. Woodland
Improved Tdnns Using Deep Kernels and Frequency Dependent Grid-RNNS. ICASSP (2018)