This dataverse is a collection of the School of Social Sciences’ research data.

Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

1,121 to 1,130 of 4,279 Results
Tabular Data - 10.7 KB - 1 Variables, 154 Observations - UNF:6:N/bgz9BG4KC27/vv64K5Cg==
Contains the filenames of all audio recordings in the MERLIon CCS Challenge evaluation set for Task 1 (Language Identification).
Plain Text - 45.8 KB - MD5: 559c7445f4503f8651a078aa7c9d8e6d
Contains metadata of the MERLIon CCS Challenge evaluation set for Task 1 (Language Identification).
Plain Text - 4.4 KB - MD5: bb0d412c085b0af392e8e1fcd988afb1
Contains the release notes and dataset description of the MERLIon CCS Challenge evaluation set for Task 1 (Language Identification).
Tabular Data - 13.4 KB - 5 Variables, 154 Observations - UNF:6:LG65AZfWQeL+tY4JqhxASg==
Contains total lengths of English and Mandarin speech in milliseconds and number of English and Mandarin segments in each audio recording in the MERLIon CCS Challenge evaluation set for Task 1 (Language Identification).
Tabular Data - 10.7 KB - 1 Variables, 154 Observations - UNF:6:DWd9g07ws3tko2NOoPzfHw==
Contains the filenames of all audio recordings in the MERLIon CCS Challenge evaluation set for Task 2 (Language Diarization).
Plain Text - 46.3 KB - MD5: 549467899677f8d2fdb55484680ca1cb
Contains metadata of the MERLIon CCS Challenge evaluation set for Task 2 (Language Diarization).
Plain Text - 4.2 KB - MD5: 8d98a0af57777d8c0927fb0abcbcc224
Contains the release notes and dataset description of the MERLIon CCS Challenge evaluation set for Task 2 (Language Diarization).
Tabular Data - 13.4 KB - 5 Variables, 154 Observations - UNF:6:IG8foF6DZkWbVP4Mp5OAsA==
Contains total lengths of English and Mandarin speech in milliseconds and number of English and Mandarin segments in each audio recording in the MERLIon CCS Challenge evaluation set for Task 2 (Language Diarization).
Jul 10, 2023 - Green Grass Park
Styles, Suzy J; Fong, Seraphina; Pan, Lei; Woon, Fei Ting; Chua, YH Victoria, 2023, "Green Grass Park (Split Language Labels) - A SESAME Research Tool", https://doi.org/10.21979/N9/NF4T2Z, DR-NTU (Data), V1, UNF:6:WQq3Zz+/vGffGbIA0h/gAw== [fileUNF]
In the domain of speech elicitation, it is well understood that participants speak differently when producing different kinds of speech. In particular, speakers tend to use more ‘standard’ pronunciations when reading individual words in isolation, as compared to reading words wit...
Tabular Data - 2.2 KB - 8 Variables, 28 Observations - UNF:6:rc9sJcwToMMKsozE67IsZg==
Lexical variables for the words used as stimuli in the Malay version of the split language edition of the Green Grass Park picture description task - a SESAME Research Tool, from the BLIP Lab. Contains word frequencies from Malay Newspapers in Singapore and Malaysia, and Age of A...
Add Data

Log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.