47 citations · 143 across the 42 of their papers we have counts for
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cs.CL2019★ 4 cited
A Comparison of Hybrid and End-to-End Models for Syllable Recognition
Sebastian P. Bayerl, Korbinian Riedhammer
This paper presents a comparison of a traditional hybrid speech recognition system (kaldi using WFST and TDNN with lattice-free MMI) and a lexicon-free end-to-end (TensorFlow imple…
cs.LG2019★ 8 cited
Timage -- A Robust Time Series Classification Pipeline
Marc Wenninger, Sebastian P. Bayerl, Jochen Schmidt +1
Time series are series of values ordered by time. This kind of data can be found in many real world settings. Classifying time series is a difficult task and an active area of rese…