Search Results for author: Florian L. Kreyssig

Found 3 papers, 1 papers with code

Biased Self-supervised learning for ASR

no code implementations4 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

A Distributed Optimisation Framework Combining Natural Gradient with Hessian-Free for Discriminative Sequence Training

no code implementations12 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

Discriminative Neural Clustering for Speaker Diarisation

1 code implementation22 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.

Clustering Data Augmentation

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