55 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Heidelberg UniversityDE6 papers
- Center for Applied LinguisticsUS2 papers
- Institute of LinguisticsRU2 papers
- Amazon (Germany)DE1 paper
- Amherst CollegeUS1 paper
- Amsterdam University CollegeNL1 paper
- Bielefeld UniversityDE1 paper
- Computing CenterRU1 paper
- Friedrich Schiller University JenaDE1 paper
- Georgetown UniversityUS1 paper
- Heinz Nixdorf StiftungDE1 paper
- Hochschule BielefeldDE1 paper
Showing 2022Show all
2 papers · 1 filter
cs.CL2022★ 5 cited
Make More of Your Data: Minimal Effort Data Augmentation for Automatic Speech Recognition and Translation
Tsz Kin Lam, Shigehiko Schamoni, Stefan Riezler
Data augmentation is a technique to generate new training data based on existing data. We evaluate the simple and cost-effective method of concatenating the original data examples…
cs.CL2022★ 11 cited
Sample, Translate, Recombine: Leveraging Audio Alignments for Data Augmentation in End-to-end Speech Translation
Tsz Kin Lam, Shigehiko Schamoni, Stefan Riezler
End-to-end speech translation relies on data that pair source-language speech inputs with corresponding translations into a target language. Such data are notoriously scarce, makin…