no code implementations • EACL (HCINLP) 2021 • Neslihan Iskender, Tim Polzehl, Sebastian Möller
In recent years, crowdsourcing has gained much attention from researchers to generate data for the Natural Language Generation (NLG) tools or to evaluate them.
no code implementations • EMNLP (Eval4NLP) 2020 • Neslihan Iskender, Tim Polzehl, Sebastian Möller
On the one hand, the human assessment of summarization quality conducted by linguistic experts is slow, expensive, and still not a standardized procedure.
1 code implementation • EACL (HumEval) 2021 • Neslihan Iskender, Tim Polzehl, Sebastian Möller
Based on our empirical analysis, we provide guidelines to ensure the reliability of expert and non-expert evaluations, and we determine the factors that might affect the reliability of the human evaluation.
no code implementations • SIGDIAL (ACL) 2022 • Daniel Fernau, Stefan Hillmann, Nils Feldhus, Tim Polzehl, Sebastian Möller
Chatbots are increasingly used to automate operational processes in customer service.
1 code implementation • 14 Sep 2023 • Arnab Das, Suhita Ghosh, Tim Polzehl, Sebastian Stober
In this paper, we show that StarGANv2-VC fails to disentangle the speaker and emotion representations, pertinent to preserve emotion.
1 code implementation • 14 Sep 2023 • Suhita Ghosh, Arnab Das, Yamini Sinha, Ingo Siegert, Tim Polzehl, Sebastian Stober
Speech anonymisation prevents misuse of spoken data by removing any personal identifier while preserving at least linguistic content.
no code implementations • 2 Apr 2022 • Murali Karthick Baskar, Tim Herzig, Diana Nguyen, Mireia Diez, Tim Polzehl, Lukáš Burget, Jan "Honza'' Černocký
Speaker adaptation using fMLLR and xvectors have provided major gains for dysarthric speech with very little adaptation data.
no code implementations • 13 May 2021 • Neslihan Iskender, Oleg Vasilyev, Tim Polzehl, John Bohannon, Sebastian Möller
Evaluating large summarization corpora using humans has proven to be expensive from both the organizational and the financial perspective.
no code implementations • LREC 2020 • Neslihan Iskender, Tim Polzehl, Sebastian M{\"o}ller
The intrinsic and extrinsic quality evaluation is an essential part of the summary evaluation methodology usually conducted in a traditional controlled laboratory environment.
no code implementations • LREC 2016 • Andrew Caines, Christian Bentz, Calbert Graham, Tim Polzehl, Paula Buttery
We announce the release of the CROWDED CORPUS: a pair of speech corpora collected via crowdsourcing, containing a native speaker corpus of English (CROWDED{\_}ENGLISH), and a corpus of German/English bilinguals (CROWDED{\_}BILINGUAL).
no code implementations • 7 Mar 2013 • Mayank Bhargava, Tim Polzehl
This paper is devoted to improve automatic emotion recognition from speech by incorporating rhythm and temporal features.