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dc.contributor.author Zemánek, Petr
dc.contributor.author Pospíšil, Adam
dc.contributor.author Sellat, Hashem
dc.contributor.author Krubiński, Mateusz
dc.contributor.author Pecina, Pavel
dc.date.accessioned 2024-06-10T08:59:29Z
dc.date.available 2024-06-10T08:59:29Z
dc.date.issued 2023
dc.identifier.uri http://hdl.handle.net/11234/1-5519
dc.description The corpus contains recordings by the native speakers of the North Levantine Arabic (apc) acquired during 2020, 2021, and 2023 in Prague, Paris, Kabardia, and St. Petersburg. Altogether, there were 13 speakers (9 male and 4 female, aged 1x 15-20, 7x 20-30, 4x 30-40, and 1x 40-50). The recordings contain both monologues and dialogues on the topics of everyday life (health, education, family life, sports, culture) as well as information on both host countries (living abroad) and country of origin (Syria traditions, education system, etc.). Both types are spontaneous, the participants were given only the general subject and talked on the topic or discussed it freely. The transcription and translation team consisted of students of Arabic at Charles University, with an additional quality check provided by the native speakers of the dialect. The textual data is split between the (parallel) transcriptions (.apc) and translations (.eng), with one segment per line. The additional .yaml file provides mapping to the corresponding audio file (with the duration and offset in the "%S.%03d" format, i.e., seconds and milliseconds) and a unique speaker ID. The audio data is shared in the 48kHz .wav format, with dialogues and monologues in separate folders. All of the recordings are mono, with a single channel. For dialogues, there is a separate file for each speaker, e.g., "16072022_Family-01.wav" and "16072022_Family-02.wav". The data provided in this repository corresponds to the test split of the dialectal Arabic to English shared task hosted at the 21st edition of the International Conference on Spoken Language Translation, i.e., IWSLT 2024.
dc.language.iso apc
dc.language.iso eng
dc.publisher Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
dc.relation info:eu-repo/grantAgreement/EC/H2020/870930
dc.rights Creative Commons - Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
dc.subject speech corpus
dc.subject speech recognition
dc.subject speech-to-text translation
dc.subject machine translation
dc.subject multilingual
dc.subject Arabic
dc.subject Arabic Corpus
dc.subject north levantine
dc.title UFAL Speech Corpus of North Levantine Arabic 1.0 - Part 2
dc.type corpus
metashare.ResourceInfo#ContentInfo.mediaType audio
dc.rights.label PUB
has.files yes
branding LINDAT / CLARIAH-CZ
contact.person Pavel Pecina pecina@ufal.mff.cuni.cz Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
sponsor European Union EC/H2020/870930 WELCOME - Multiple Intelligent Conversation Agent Services for Reception, Management and Integration of Third Country Nationals in the EU euFunds info:eu-repo/grantAgreement/EC/H2020/870930
size.info 110 minutes
files.size 587385940
files.count 4


 Soubory tohoto záznamu

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Název
test2024.yaml
Velikost
93.35 KB
Formát
Neznámý
Popis
Audio-to-text segment mapping
MD5
1c95e7c3ffa40869705dd7e0b80c85b1
 Stáhnout soubor
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Název
test2024.apc
Velikost
80.88 KB
Formát
Neznámý
Popis
Speech transcription to apc
MD5
1f8da210de21ca727e84bde564350f00
 Stáhnout soubor
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Název
test2024.eng
Velikost
63.03 KB
Formát
Neznámý
Popis
Speech translation to eng
MD5
f7314f5004c75834d692216732c94c6c
 Stáhnout soubor
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Název
test2024_wav.zip
Velikost
559.94 MB
Formát
application/zip
Popis
Audio files
MD5
c9d04c06a5f09a1a4b83413fb321a550
 Stáhnout soubor  Náhled
 Náhled souboru  
  • Audio-Dialogues
    • 16072022_Family-01.wav108 MB
    • D_220623_Windows-01.wav54 MB
    • 16072022_Family-02.wav108 MB
    • D_220623_Windows-02.wav54 MB
  • Audio-Monologues
    • Lat_210228.wav39 MB
    • Dam_21082021.wav88 MB
    • Hom_19082021.wav14 MB
    • Hom24082021.wav33 MB
    • Dam_09082021.wav61 MB
    • Hom_28082021.wav19 MB
    • Hom_03072021_2.wav30 MB
    • Hom_1072021.wav15 MB
    • Hom_03072021_1.wav18 MB
    • Hom_2082021.wav30 MB
    • Hom_26072021.wav18 MB
    • Sed_17082021.wav16 MB

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