42 citations · 122 across the 39 of their papers we have counts for
7 papers · 1 filter
Subword and Crossword Units for CTC Acoustic Models
Thomas Zenkel, Ramon Sanabria, Florian Metze +1
This paper proposes a novel approach to create an unit set for CTC based speech recognition systems. By using Byte Pair Encoding we learn an unit set of an arbitrary size on a give…
Effective Strategies in Zero-Shot Neural Machine Translation
Thanh-Le Ha, Jan Niehues, Alexander Waibel
In this paper, we proposed two strategies which can be applied to a multilingual neural machine translation system in order to better tackle zero-shot scenarios despite not having…
Phonemic and Graphemic Multilingual CTC Based Speech Recognition
Markus Müller, Sebastian Stüker, Alex Waibel
Training automatic speech recognition (ASR) systems requires large amounts of data in the target language in order to achieve good performance. Whereas large training corpora are r…
Transcribing Against Time
Matthias Sperber, Graham Neubig, Jan Niehues +2
We investigate the problem of manually correcting errors from an automatic speech transcript in a cost-sensitive fashion. This is done by specifying a fixed time budget, and then a…
Comparison of Decoding Strategies for CTC Acoustic Models
Thomas Zenkel, Ramon Sanabria, Florian Metze +4
Connectionist Temporal Classification has recently attracted a lot of interest as it offers an elegant approach to building acoustic models (AMs) for speech recognition. The CTC lo…
Analyzing Neural MT Search and Model Performance
Jan Niehues, Eunah Cho, Thanh-Le Ha +1
In this paper, we offer an in-depth analysis about the modeling and search performance. We address the question if a more complex search algorithm is necessary. Furthermore, we inv…
Yeah, Right, Uh-Huh: A Deep Learning Backchannel Predictor
Robin Ruede, Markus Müller, Sebastian Stüker +1
Using supporting backchannel (BC) cues can make human-computer interaction more social. BCs provide a feedback from the listener to the speaker indicating to the speaker that he is…