Development and Evaluation data for Multilingual Everyday Recordings - Language Identification on Code-Switched Child-Directed Speech (MERLIon CCS) Challenge (doi:10.21979/N9/ANXS8Z)

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Development and Evaluation data for Multilingual Everyday Recordings - Language Identification on Code-Switched Child-Directed Speech (MERLIon CCS) Challenge

doi:10.21979/N9/ANXS8Z

DR-NTU (Data)

2023-08-11

1

Chua, Victoria Yi Han; Garcia Perera, Leibny Paola; Khudanpur, Sanjeev; Khong, Andy W. H.; Dauwels, Justin; Woon, Fei Ting; Styles, Suzy J, 2023, "Development and Evaluation data for Multilingual Everyday Recordings - Language Identification on Code-Switched Child-Directed Speech (MERLIon CCS) Challenge", https://doi.org/10.21979/N9/ANXS8Z, DR-NTU (Data), V1, UNF:6:QFBERdU0YulYhMohwDaNWg== [fileUNF]

Development and Evaluation data for Multilingual Everyday Recordings - Language Identification on Code-Switched Child-Directed Speech (MERLIon CCS) Challenge

doi:10.21979/N9/ANXS8Z

Chua, Victoria Yi Han (Nanyang Technological University)

Garcia Perera, Leibny Paola (Johns Hopkins University)

Khudanpur, Sanjeev (Johns Hopkins University)

Khong, Andy W. H. (Nanyang Technological University)

Dauwels, Justin (TU Delft)

Woon, Fei Ting (Nanyang Technological University)

Styles, Suzy J (Nanyang Technological University)

.wav

.txt

7-Zip

NRF2016-SOL002-011

CRADLE@NTU grant JHU IO 90071537

NAP Start Up Grant M4081215.100

DR-NTU (Data)

Styles, Suzy J.

Styles, Suzy J.

2023-01-18

https://doi.org/10.21979/N9/ANXS8Z

Engineering, Social Sciences, Engineering, Social Sciences, Speech Processing, Engineering Challenge, Codeswitched Speech, Accented Speech, Language Identification, Language Diarization, Child-directed Speech

The inaugural Multilingual Everyday Recordings - Language Identification on Code-Switched Child-Directed Speech (MERLIon CCS) Challenge focuses on developing robust language identification and language diarization systems that are reliable for non-standard, accented, spontaneous code-switched, child-directed speech collected via Zoom. <b>This dataset contains the development set and evaluation sets for two Tasks in the 2023 MERLIon CCS Challenge</b>, a special session at INTERSPEECH 2023 (Theme: 'Inclusive Spoken Language Science and Technology – Breaking Down Barriers').<br><br> As videocalls become increasingly ubiquitous, we present a unique first-of-its-kind Zoom videocall dataset. The MERLIon CCS Challenge tackles automatic language identification and language diarization in a subset of audio recordings from the <a href="https://researchdata.ntu.edu.sg/dataverse/talktogethermaterials">Talk Together Study</a>, where parents narrated an onscreen wordless picturebook to their child. The main objectives of this inaugural challenge are: <br> • to benchmark the current and novel language identification and language diarization systems in a code-switching scenario including extremely short utterances; <br> • to test the robustness of such systems under accented speech; <br> • to challenge the research community to propose novel solutions in terms of adaptation, training, and novel embedding extraction for this particular set of tasks. <br><br> The challenge features language identification (Task 1) and language diarization (Task 2). Two tracks, open and closed, are available. The tracks differ by the data used during system training. More information can be found in the <a href="https://arxiv.org/abs/2305.19493">MERLIon CCS Challenge Evaluation Plan</a> and the MERLIon CCS Challenge <a href="https://github.com/MERLIon-Challenge/merlion-ccs-2023">GitHub</a>. <br><br> The public release of the Challenge audio data includes minor revisions following the conclusion of the challenge, constituting no more than .0001% of the labeled data. <br><br> Due to the nature of the audio and the data release agreement with the participants, <b>all downloads from this repository will require an agreement to the terms of use.</b> To preview the metadata associated with the datasets contained here, you can access the documentation without downloading any files <a href="https://doi.org/10.21979/N9/4RHC3D">here</a>. <br><br> This collection contains two versions of the data, a legacy archive (LEGACY_ARCHIVE) containing all original files in their original file structure and a set of download files (DOWNLOAD_FILES), formatted for efficient download. In the section below, please click Tree view to see the file structure.

Development Data: Audio and annotations

Evaluation Data: Audio with limited annotations

Identifiable information has been redacted with a beep of 440Hz. All participants consented to the release of the redacted audio recordings in the dataset.

Some files in the dataset contain timestamp annotations and language labels for segments in each audio recording in the MERLIon CCS Evaluation set for Task 1 and 2 and are locked for use in future challenges. The files are preserved here for archive integrity for future release.

Any usage of the data in this corpus must be accompanied by citation. Any AI/deep learning derivatives that were developed by training on the data in this corpus must acknowledge this corpus. Where Usernames have been given, Usernames must be presented alongside any vocal samples used as illustrations of method or results. For example, named or listed in the credits of a documentary; named in a digital file published as supplementary material in a journal article; or listed in live demonstrations (e.g., Presentation at academic conferences, Public science lectures). Any derivatives incorporating audio from this dataset must contain the same usage terms.

To access recordings in these collections, users must agree to the following terms: <br> I agree to respect the audio recordings:<br> • I will not presented audio in a context which might cause harm or embarrassment to the speaker. This includes association with racial prejudice, criminality, sexual orientation, religious affiliation, other sensitive material, distressing or unpleasant stimuli in another sensory domain (e.g., unpleasant pictures, unpleasant smells).<br> • I will not identify any individual as ‘bad at’ any aspect of the task.<br> <br> I agree to cite the corpus:<br> • In work arising from this corpus, I will cite the original corpus appropriately.<br> • Any AI/deep learning derivatives that were developed by training on the data in this corpus must acknowledge this corpus. <br> • If a speaker has contributed a 'username' for their contribution, the 'username' will appear alongside the filename and citation information in any derivatives. Any derivatives incorporating audio from this dataset must indicate 'some rights reserved' or point to the usage rights of the corpus.<br> <br> I agree to open access:<br> • I will not charge others to access the materials in the corpus, or bundle the corpus audio into a for-profit product.<br> • As an extension of 'fair use,' example audio files can be used to describe the nature of the dataset, a phenomenon of interest in the audio file, or illustrate a procedure in work arising from the corpus, even if the resulting work is a for-profit publication or derivative. Any such transfer of rights to a third party is limited to 1% of the total corpus or 6 whole recordings from the total corpus, whichever is larger. Such uses must include citations to the original along with the statement 'some rights reserved'.<br>

These files contain timestamp annotations and language labels for segments in each audio recording in the MERLIon CCS Evaluation set for Task 1 and 2 and are locked for use in future challenges. The files are preserved here for archive integrity for future release.

GitHub page: "merlion-ccs-2023" in MERLIon-Challenge, GitHub, https://github.com/MERLIon-Challenge/merlion-ccs-2023, last updated 21 February 2023.

10.3389/fpsyg.2021.734936

Woon, F. T., Yogarrajah, E. C., Fong, S., Salleh, N. S. M., Sundaray, S., & Styles, S. J. (2021). Creating a corpus of multilingual parent-child speech remotely: Lessons learned in a large-scale onscreen picturebook sharing task. Frontiers in Psychology, 12.

arxiv:2305.18881

Chua, Y. H. V. , Liu, H., Garcia Perera, L. P. , Woon, F. T., Wong, J., Zhang, X., Khudanpur, S., Khong, A. W. H., Dauwels, J. & Styles, S. J. (2023). MERLIon CCS Challenge: A English-Mandarin code-switching child-directed speech corpus for language identification and diarization. Accepted for Proc. Interspeech 2023.

arxiv:2305.18925

Styles, S. J. , Chua, Y. H. V., Woon, F. T., Liu, H., Garcia Perera, L. P., Khudanpur, S., Khong, A. W. H., & Dauwels, J. (2023). Investigating model performance in language identification: beyond simple error statistics. Accepted for Interspeech 2023. http://arxiv.org/abs/2305.18925

arxiv:2305.19493

Garcia Perera, L. P., Chua, Y. H. V., Liu, H., Woon, F. T., Khong, A. W. H., Dauwels, J. & Styles, S. J., "MERLIon CCS Challenge Evaluation Plan Version 1.2". ArXiv https://doi.org/10.48550/arXiv.2305.19493

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Label:

MERLIon-CCS-Challenge-2023_Development-Set_v001_METADATA.txt

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Contains metadata of the MERLIon CCS Challenge development set.

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Label:

MERLIon-CCS-Challenge-2023_Development-Set_v001_RELEASE-NOTES.txt

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Contains the release notes and dataset description of the MERLIon CCS Challenge development set.

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MERLIon-CCS-Challenge_Development-Set_Audio-and-Metadata_v001.zip.001

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The MERLIon CCS Challenge Development Set Audio and Metadata is split into 5 parts. This is part 1 of 5. Download all 5 parts together and extract the data via 7zip.

application/octet-stream

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MERLIon-CCS-Challenge_Development-Set_Audio-and-Metadata_v001.zip.002

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The MERLIon CCS Challenge Development Set Audio and Metadata is split into 5 parts. This is part 2 of 5. Download all 5 parts together and extract the data via 7zip.

application/octet-stream

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MERLIon-CCS-Challenge_Development-Set_Audio-and-Metadata_v001.zip.003

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The MERLIon CCS Challenge Development Set Audio and Metadata is split into 5 parts. This is part 3 of 5. Download all 5 parts together and extract the data via 7zip.

application/octet-stream

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MERLIon-CCS-Challenge_Development-Set_Audio-and-Metadata_v001.zip.004

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The MERLIon CCS Challenge Development Set Audio and Metadata is split into 5 parts. This is part 4 of 5. Download all 5 parts together and extract the data via 7zip.

application/octet-stream

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MERLIon-CCS-Challenge_Development-Set_Audio-and-Metadata_v001.zip.005

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The MERLIon CCS Challenge Development Set Audio and Metadata is split into 5 parts. This is part 5 of 5. Download all 5 parts together and extract the data via 7zip.

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Label:

MERLIon-CCS-Challenge_Development-Set_Labels_v001.zip

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MERLIon-CCS-Challenge_Task-1_Evaluation-Set_Audio-and-Metadata_v001.zip.001

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The MERLIon CCS Challenge Evaluation Set for Task 1: Audio and Metadata is split into 5 parts. This is part 1 of 5. Download all 5 parts together and extract the data via 7zip.

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MERLIon-CCS-Challenge_Task-1_Evaluation-Set_Audio-and-Metadata_v001.zip.002

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The MERLIon CCS Challenge Evaluation Set for Task 1: Audio and Metadata is split into 5 parts. This is part 2 of 5. Download all 5 parts together and extract the data via 7zip.

application/octet-stream

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MERLIon-CCS-Challenge_Task-1_Evaluation-Set_Audio-and-Metadata_v001.zip.003

Text:

The MERLIon CCS Challenge Evaluation Set for Task 1: Audio and Metadata is split into 5 parts. This is part 3 of 5. Download all 5 parts together and extract the data via 7zip.

application/octet-stream

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MERLIon-CCS-Challenge_Task-1_Evaluation-Set_Audio-and-Metadata_v001.zip.004

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The MERLIon CCS Challenge Evaluation Set for Task 1: Audio and Metadata is split into 5 parts. This is part 4 of 5. Download all 5 parts together and extract the data via 7zip.

application/octet-stream

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MERLIon-CCS-Challenge_Task-1_Evaluation-Set_Audio-and-Metadata_v001.zip.005

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The MERLIon CCS Challenge Evaluation Set for Task 1: Audio and Metadata is split into 5 parts. This is part 5 of 5. Download all 5 parts together and extract the data via 7zip.

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MERLIon-CCS-Challenge_Task-1_Evaluation-Set_Labels_v001.zip

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The MERLIon CCS Challenge Evaluation Set for Task 1: Labels is locked for use in future challenges. The files are preserved here for archive integrity for future release.

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MERLIon-CCS-Challenge_Task-1_Evaluation-Set_v001_METADATA.txt

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Contains metadata of the MERLIon CCS Challenge evaluation set for Task 1 (Language Identification).

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MERLIon-CCS-Challenge_Task-1_Evaluation-Set_v001_RELEASE-NOTES.txt

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Contains the release notes and dataset description of the MERLIon CCS Challenge evaluation set for Task 1 (Language Identification).

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MERLIon-CCS-Challenge_Task-2_Evaluation-Set_Audio-and-Metadata_v001.zip.001

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The MERLIon CCS Challenge Evaluation Set for Task 2: Audio and Metadata is split into 5 parts. This is part 1 of 5. Download all 5 parts together and extract the data via 7zip.

application/octet-stream

Label:

MERLIon-CCS-Challenge_Task-2_Evaluation-Set_Audio-and-Metadata_v001.zip.002

Text:

The MERLIon CCS Challenge Evaluation Set for Task 2: Audio and Metadata is split into 5 parts. This is part 2 of 5. Download all 5 parts together and extract the data via 7zip.

application/octet-stream

Label:

MERLIon-CCS-Challenge_Task-2_Evaluation-Set_Audio-and-Metadata_v001.zip.003

Text:

The MERLIon CCS Challenge Evaluation Set for Task 2: Audio and Metadata is split into 5 parts. This is part 3 of 5. Download all 5 parts together and extract the data via 7zip.

application/octet-stream

Label:

MERLIon-CCS-Challenge_Task-2_Evaluation-Set_Audio-and-Metadata_v001.zip.004

Text:

The MERLIon CCS Challenge Evaluation Set for Task 2: Audio and Metadata is split into 5 parts. This is part 4 of 5. Download all 5 parts together and extract the data via 7zip.

application/octet-stream

Label:

MERLIon-CCS-Challenge_Task-2_Evaluation-Set_Audio-and-Metadata_v001.zip.005

Text:

The MERLIon CCS Challenge Evaluation Set for Task 2: Audio and Metadata is split into 5 parts. This is part 5 of 5. Download all 5 parts together and extract the data via 7zip.

application/octet-stream

Label:

MERLIon-CCS-Challenge_Task-2_Evaluation-Set_Labels_v001.zip

Text:

The MERLIon CCS Challenge Evaluation Set for Task 2: Labels is locked for use in future challenges. The files are preserved here for archive integrity for future release.

application/zip

Label:

MERLIon-CCS-Challenge_Task-2_Evaluation-Set_v001_METADATA.txt

Text:

Contains metadata of the MERLIon CCS Challenge evaluation set for Task 2 (Language Diarization).

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MERLIon-CCS-Challenge_Task-2_Evaluation-Set_v001_RELEASE-NOTES.txt

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Contains the release notes and dataset description of the MERLIon CCS Challenge evaluation set for Task 2 (Language Diarization).

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