4 citations · 7 across the 5 of their papers we have counts for
4 papers · 1 filter
Toward Cross-Domain Speech Recognition with End-to-End Models
Thai-Son Nguyen, Sebastian Stüker, Alex Waibel
In the area of multi-domain speech recognition, research in the past focused on hybrid acoustic models to build cross-domain and domain-invariant speech recognition systems. In thi…
Learning Shared Encoding Representation for End-to-End Speech Recognition Models
Thai-Son Nguyen, Sebastian Stueker, Alex Waibel
In this work, we learn a shared encoding representation for a multi-task neural network model optimized with connectionist temporal classification (CTC) and conventional framewise…
Using multi-task learning to improve the performance of acoustic-to-word and conventional hybrid models
Thai-Son Nguyen, Sebastian Stueker, Alex Waibel
Acoustic-to-word (A2W) models that allow direct mapping from acoustic signals to word sequences are an appealing approach to end-to-end automatic speech recognition due to their si…
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…