282 citations · 1.2k across the 80 of their papers we have counts for
4 papers · 2 filters
Towards Two-Dimensional Sequence to Sequence Model in Neural Machine Translation
Parnia Bahar, Christopher Brix, Hermann Ney
This work investigates an alternative model for neural machine translation (NMT) and proposes a novel architecture, where we employ a multi-dimensional long short-term memory (MDLS…
On The Alignment Problem In Multi-Head Attention-Based Neural Machine Translation
Tamer Alkhouli, Gabriel Bretschner, Hermann Ney
This work investigates the alignment problem in state-of-the-art multi-head attention models based on the transformer architecture. We demonstrate that alignment extraction in tran…
Speaker Adapted Beamforming for Multi-Channel Automatic Speech Recognition
Tobias Menne, Ralf Schlüter, Hermann Ney
This paper presents, in the context of multi-channel ASR, a method to adapt a mask based, statistically optimal beamforming approach to a speaker of interest. The beamforming vecto…
Improved training of end-to-end attention models for speech recognition
Albert Zeyer, Kazuki Irie, Ralf Schlüter +1
Sequence-to-sequence attention-based models on subword units allow simple open-vocabulary end-to-end speech recognition. In this work, we show that such models can achieve competit…