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UFAL Speech Corpus of North Levantine Arabic 1.0 - Part 1

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Zemánek, Petr; Pospíšil, Adam; Sellat, Hashem; Krubiński, Mateusz and Pecina, Pavel, 2023, UFAL Speech Corpus of North Levantine Arabic 1.0 - Part 1, LINDAT/CLARIAH-CZ digital library at the Institute of Formal and Applied Linguistics (ÚFAL), http://hdl.handle.net/11234/1-5518.
Date issued
2023
Size
152 minutes
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., "Tar_13052022_Czechia-01.wav" and "Tar_13052022_Czechia-02.wav". The data provided in this repository corresponds to the validation 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.
Acknowledgement
 Files in this item
Name
dev2024.eng
Size
84.08 KB
Format
application/octet-stream
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Unknown
MD5
c726d877a4abb430323609492df6574c
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Name
dev2024.yaml
Size
110.33 KB
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application/octet-stream
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Unknown
MD5
5bb2603cc25e326a87e3f586dc7aa01a
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Name
dev2024.apc
Size
113.6 KB
Format
application/octet-stream
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Unknown
MD5
6cc17f60993f87235dc0383d377bced4
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Name
dev2024_wav.zip
Size
834.43 MB
Format
application/zip
Description
Zip
MD5
63e4279f57982ee845d31f61d840e5ac
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  • Audio-Dialogues
    • Tar_13052022_Czechia-01.wav177 MB
    • Tar_13052022_Food-01.wav116 MB
    • Tar_13052022_Work-02.wav74 MB
    • Tar_13052022_Czechia-02.wav177 MB
    • Tar_13052022_Food-02.wav116 MB
    • Tar_13052022_Work-01.wav74 MB
  • Audio-Monologues
    • Lat_30122020.wav7 MB
    • Dam_06052022_3.wav5 MB
    • Dam_01.wav27 MB
    • Dam_06052022_2.wav15 MB
    • Lat_2932021_5.wav19 MB
    • Lat_26052021.wav77 MB
    • Lat_2932021_4.wav16 MB
    • Lat_2932021_3.wav6 MB
    • Lat_2932021_2.wav15 MB
    • Alep_27052021.wav7 MB
    • Lat_2932021_1.wav37 MB
    • Alep_23122020_4.wav19 MB
    • Alep_23122020_3.wav35 MB
    • Alep_09052021_2.wav3 MB
    • Alep_23122020_2.wav23 MB
    • Alep_09052021_1.wav9 MB
    • Alep_23122020_1.wav16 MB