| Challenge: | Specifically, we describe a tool designed to improve our Automatic Speech Recognition system performance. |
| Approach: | They propose to build a tool for speech corpus collection of a specific domain content. |
| Outcome: | The proposed tool can be used to gather 63 hours of speech recordings across several domains and achieve lower WER in two grammar-based speech recognition tasks. |
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Piotr Pęzik, Gosia Krawentek, Sylwia Karasińska, Paweł Wilk, Paulina Rybińska, Anna Cichosz, Angelika Peljak-Łapińska, Mikołaj Deckert, Michał Adamczyk
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| Challenge: | The Dutch Dialect Database contains dialectal variations of Dutch recorded in the second half of the twentieth century. |
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Manually Annotated Corpus of Polish Texts Published between 1830 and 1918 (L18-1)
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| Challenge: | a paper presents a manually annotated corpus of 625,000 tokens of Polish texts . the corpus provides three layers: transliteration, transcription and morphosyntactic annotation. |
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| Challenge: | a paper aims at enriching the manually annotated part of National Corpus of Polish with a syntactic layer. |
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| Challenge: | Current state-of-the-art acoustic models can easily comprise more than 100 million parameters. |
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Polish Discourse Corpus (PDC): Corpus Design, ISO-Compliant Annotation, Data Highlights, and Parser Development (2024.lrec-main)
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Maciej Ogrodniczuk, Aleksandra Tomaszewska, Daniel Ziembicki, Sebastian Żurowski, Ryszard Tuora, Aleksandra Zwierzchowska
| Challenge: | The Polish Discourse Corpus employs ISO 24617-8 for discourse relation annotation. |
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PRODIS - a Speech Database and a Phoneme-based Language Model for the Study of Predictability Effects in Polish (2024.lrec-main)
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| Challenge: | acoustic predictability is operationalised by surprisal in Polish, but cross-linguistic differences depend on prosodic system. |
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DiaBiz.Kom - towards a Polish Dialogue Act Corpus Based on ISO 24617-2 Standard (2022.coling-1)
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Marcin Oleksy, Jan Wieczorek, Dorota Drużyłowska, Julia Klyus, Aleksandra Domogała, Krzysztof Hwaszcz, Hanna Kędzierska, Daria Mikoś, Anita Wróż
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Gos 2: A New Reference Corpus of Spoken Slovenian (2024.lrec-main)
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| Challenge: | a new corpus of spoken Slovenian has been added to the Gos reference corpus . the corpus is now more than double the original size of 300 hours, 2.4 million words . |
| Approach: | They propose to add speech recordings and transcriptions from two related initiatives, the Gos VideoLectures corpus of public academic speech, and the Artur speech recognition database. |
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Using Automatic Speech Recognition in Spoken Corpus Curation (2020.lrec-1)
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| Challenge: | Automatic Speech Recognition (ASR) is a new way to make audio-visual data accessible. |
| Approach: | They propose to use automatic speech recognition (ASR) to make audio-visual data accessible by systematic queries. |
| Outcome: | The proposed system has higher recognition scores for the north of Germany vs. lower scores for south of the country. |