Matrix Data Deep Decoder - Geometric Learning for Structured Data Completion

no code implementations • 1 Jan 2021 • Maria Schmidt, Alexander Bronstein

In this work, we present a fully convolutional end to end method to reconstruct corrupted sparse matrices of Non-Euclidean data.

Matrix Completion Recommendation Systems

How Users React to Proactive Voice Assistant Behavior While Driving

no code implementations • LREC 2020 • Maria Schmidt, Wolfgang Minker, Steffen Werner

Finally, the users reacted significantly faster to proactive PA actions, which we interpret as less cognitive load compared to non-proactive behavior.

Towards an Automatic Assessment of Crowdsourced Data for NLU

no code implementations • LREC 2018 • Patricia Braunger, Wolfgang Maier, Jan Wessling, Maria Schmidt

Automatic Speech Recognition (ASR) Language Modelling +1

A Comparative Analysis of Crowdsourced Natural Language Corpora for Spoken Dialog Systems

no code implementations • LREC 2016 • Patricia Braunger, Hansj{\"o}rg Hofmann, Steffen Werner, Maria Schmidt

In our study, the method with text led to a high variance in the utterances and a relatively low rate of invalid data.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

Evaluation of Crowdsourced User Input Data for Spoken Dialog Systems

no code implementations • WS 2015 • Maria Schmidt, Markus M{\"u}ller, Martin Wagner, Sebastian St{\"u}ker, Alex Waibel, Hansj{\"o}rg Hofmann, Steffen Werner

Speech Recognition