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

  Authors

Macháček, Dominik ; Kratochvíl, Jonáš ; Vojtěchová, Tereza and Bojar, Ondřej

  Item identifier

http://hdl.handle.net/11234/1-3023

 Referenced by

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

 Date issued

2019-07-13

 Type

audio, corpus

 Size

59 minutes, 39 entries

 Language(s)

English

 Description

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 seconds long, and slides and web-pages in Czech, Slovak, English, German, Romanian, Italian or Spanish. 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.

 Publisher

Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)

 Acknowledgement

European Union

Project code: H2020-ICT-2018-2-825460

Project name: ELITR - European Live Translator

 

Czech Science Foundation

Project code: 19-26934X

Project name: Neural Representations in Multi-modal and Multi-lingual Modelling

 Subject(s)

ASR ASR evaluation speech corpus non-native English speech recognition speech recognition evaluation speech and relevant texts European non-native English

 Collection(s)

LINDAT / CLARIAH-CZ Data & Tools

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