no code implementations • 4 Nov 2022 • Florian L. Kreyssig, Yangyang Shi, Jinxi Guo, Leda Sari, Abdelrahman Mohamed, Philip C. Woodland
Furthermore, this paper proposes a variant of MPPT that allows low-footprint streaming models to be trained effectively by computing the MPPT loss on masked and unmasked frames.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2
no code implementations • 12 Mar 2021 • Adnan Haider, Chao Zhang, Florian L. Kreyssig, Philip C. Woodland
This paper presents a novel natural gradient and Hessian-free (NGHF) optimisation framework for neural network training that can operate efficiently in a distributed manner.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2
1 code implementation • 22 Oct 2019 • Qiujia Li, Florian L. Kreyssig, Chao Zhang, Philip C. Woodland
In this paper, we propose Discriminative Neural Clustering (DNC) that formulates data clustering with a maximum number of clusters as a supervised sequence-to-sequence learning problem.