The Growing Collection. This dataverse is a repository for collections of audio & video recordings and transcriptions that have been recorded and released according to the terms of the Growing Collection. Each speaker has been asked whether they would prefer their audio to be identifiable or anonymous. To gain access to audio you must agree to the terms of the Growing Collection

Audio Collections (Words)
Spring-Village Corpus of minimal pairs in Singapore Mandarin Chinese (Mar 2022)
• Pitch-Peach Corpus of minimal pairs and homophones in Singapore English (under construction)
• TOWRE Skilled Adult Readers of Singapore English (under construction)
• Early Word Lists (under construction)
• /i/ /a/ /u/ SESAME Picture Card Corpus - Adults speaking English, Mandarin, Malay and Tamil (coming soon)
Zoo-Lǎohǔ Word Set Cross linguistic lexical priming word set for animacy judgements (English and Mandarin Chinese)

Audio Collections (Sentences/Narrations/Conversations)
Laksa Corpus (Archived Jan 2020)
Leaf & Stone Corpus (Archived Jan 2020)
Green Grass Park Picture Description Corpus in Singapore Mandarin (Feb 2022)
• SESAME Topic Prompts (under construction)
• Mushroom hunting corpus of formal and informal Malay sentences (Jan 2025)

Video Collections
• Dog-Dark Corpus of hand-shapes in SgSL Corpus (Coming Soon)
• SESAME Topic Prompts SgSL Corpus (Under Development)
• "What a Scary Storm!" SgSL Corpus (Under Development)

Synthesized speech derived from natural speech tokens
Boat-Vote continuum for categorical perception studies

MERLIon Challenge Collections
• MERLIon CCS Challenge 2023

Corpus Administration
Growing Collection Release Form (Archived Jan 2020)
• Growing Collection Corpus metadata template (Coming soon)

Terms of use: To access recordings in these collections, users must agree to the following terms: Recordings of audio and video must be treated with respect, and should not be presented in any context which might cause harm or embarrassment to the speaker. For example recordings should not be associated with assessments of racial prejudice, evaluations of likely criminality, sexual orientation, religious affiliation, or any other sensitive material. Recordings should not be paired with distressing or unpleasant stimuli in another sensory domain (e.g., unpleasant pictures, unpleasant smells). No individual should be identified as ‘bad at’ any aspect of the task. 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 use of files from the Growing Collection must be credited as specified in the Terms of Use for that dataset.

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

211 to 220 of 765 Results
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).
Unknown - 1000.0 MB - MD5: 21deff58bfe93c35eca6942b6fd178a8
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.
Unknown - 1000.0 MB - MD5: 517622c2d63e7e29c02984c069cf5e76
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.
Unknown - 1000.0 MB - MD5: a15cf6c9c7c38ecdd49097718d717d9a
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.
Unknown - 1000.0 MB - MD5: 1d2f649ebc16e8cc77a6224e42aa6b49
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.
Unknown - 254.1 MB - MD5: 8509e360f2fdf1f365d444864182710b
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.
ZIP Archive - 657.6 KB - MD5: 376aa86ac90ae6ea45991ed0663db497
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.
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).
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.