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A Speech Test Set of Practice Business Presentations with Additional Relevant Texts

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Statistical Language and Speech Processing (SLSP 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11816))

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Abstract

We present a test corpus of audio recordings and transcriptions of presentations of students’ enterprises together with their slides and web-pages. The corpus is intended for evaluation of automatic speech recognition (ASR) systems, especially in conditions where the prior availability of in-domain vocabulary and named entities is benefitable. The corpus consists of 39 presentations in English, each up to 90 s long. The speakers are high school students from European countries with English as their second language. We benchmark three baseline ASR systems on the corpus and show their imperfection.

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Notes

  1. 1.

    http://filters.matecat.com/.

  2. 2.

    https://cloud.google.com/speech-to-text/.

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Acknowledgements

This research was supported in parts by the grants H2020-ICT-2018-2-825460 (ELITR) of the European Union and 19-26934X (NEUREM3) of Czech Science Foundation.

We are grateful to the organization team of the fictional student firms fair, who allowed us to conduct the competition during the event. We are also grateful to the students, who presented their firm and transcribed their audio recordings. Last but not least we are thankful to the team in Karlsruhe Institute of Technology and to the PerVoice team, who helped us overcome the technical difficulties that we have encountered.

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Authors and Affiliations

  1. Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics, Malostranské náměstí 25, 118 00, Prague, Czech Republic

    Dominik Macháček, Jonáš Kratochvíl, Tereza Vojtěchová & Ondřej Bojar

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  1. Dominik Macháček
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  2. Jonáš Kratochvíl
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  3. Tereza Vojtěchová
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  4. Ondřej Bojar
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Corresponding author

Correspondence to Dominik Macháček .

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Editors and Affiliations

  1. Rovira i Virgili University, Tarragona, Spain

    Carlos Martín-Vide

  2. Queen Mary University of London, London, UK

    Matthew Purver

  3. Jožef Stefan Institute, Ljubljana, Slovenia

    Senja Pollak

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Macháček, D., Kratochvíl, J., Vojtěchová, T., Bojar, O. (2019). A Speech Test Set of Practice Business Presentations with Additional Relevant Texts. In: Martín-Vide, C., Purver, M., Pollak, S. (eds) Statistical Language and Speech Processing. SLSP 2019. Lecture Notes in Computer Science(), vol 11816. Springer, Cham. https://doi.org/10.1007/978-3-030-31372-2_13

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  • DOI: https://doi.org/10.1007/978-3-030-31372-2_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-31371-5

  • Online ISBN: 978-3-030-31372-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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