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Hendrik Meutzner

2 accepted papers

2017

Improving audio-visual speech recognition using deep neural networks with dynamic stream reliability estimates

ICASSP 2017accepted

Audio-visual speech recognition is a promising approach to tackling the problem of reduced recognition rates under adverse acoustic conditions. However, finding an optimal mechanism for combining multi-modal information remains a challenging task. Various methods are applicable for integrating acous…

Cited by 0SourceScholar
2016

A generative-discriminative hybrid approach to multi-channel noise reduction for robust automatic speech recognition

ICASSP 2016accepted

In the recent years, discriminative models have become a very attractive utility and gained a lot of attention in the speech research community, encompassing both front and back-end methods, thanks to their prominent discriminative power and the availability of improved training strategies. When it…

Cited by 0SourceScholar