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Release Date: 7/17/2026
Format: WAV, TSV
Size: 8.47 GB
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This dataset provides 40 hours of high-quality audio recordings and corresponding text transcriptions of the Singaporean Tamil language. The collection includes unique utterances per language to support diverse acoustic modeling. All transcriptions have undergone a manual verification process to ensure high linguistic accuracy. Recordings feature a balanced mix of genders and various age groups to minimize bias in downstream AI models. This data is specifically designed for training Automatic Speech Recognition (ASR) systems, Text-to-Speech (TTS) synthesis, and general linguistic research for Singaporean Tamil language.
Pricing details
Your purchase is the license to the raw data. Once purchased, you're responsible for storing and using this dataset.
Your purchase includes a license to the data, paid directly to the dataset vendor, and a 5% ($615.00) platform fee paid to MDC.
Licensing
MDC Data Licence Agreement 1.0
https://community.mozilladatacollective.com/mdc-data-licence-agreement-1-0/Restrictions/Special Constraints
The downloader is restricted from using this dataset in any way that contravenes the MDC Data Licence Agreement 1.0
Forbidden Usage
The downloader is restricted from using this dataset in any way that contravenes the MDC Data Licence Agreement 1.0 You agree not to attempt to determine the identity of any speaker in the dataset. It is forbidden to use this dataset for voice cloning, biometric identification, surveillance, or the creation of synthetic voices mimicking speakers.
Intended Use
- Text-to-Speech (TTS) model development and evaluation - Speech synthesis research - Academic and educational research - Low-resource language technology development - Pronunciation and linguistic analysis
A curated collection of high-quality read speech recordings from native Singaporean Tamil speakers. The recordings were collected through controlled voice collection sessions and are paired with verified text transcripts. The dataset is intended to support the development of Text-to-Speech (TTS) systems and other low-resource language technologies.
The dataset contains approximately 40 hours of recorded speech.
Native Singaporean Tamil speakers were recruited. Sentence prompts were prepared by linguistically competent contributors. Speech recordings were manually reviewed and paired with verified transcripts.
Speech was collected during controlled recording sessions to promote consistency in recording quality.
Generated specifically for this project. Read speech recordings paired with verified text transcripts. Original recordings are stored in WAV (.wav) format.
The dataset contains:
An audio/ directory containing WAV recordings. A metadata.csv file containing transcripts and metadata for each recording.
Field Description
speaker_id Speaker id
file_name Audio filename
language Recording language
age Speaker age
gender Speaker gender
theme Recording theme
domain Recording domain
sub_theme Topic category
sentence_ID Unique sentence identifier
sentence Verified transcript
This dataset is intended for:
Text-to-Speech (TTS) model development and evaluation
Speech synthesis research
Academic and educational research
Low-resource language technology development
Pronunciation and linguistic analysis
This dataset is not intended for:
Speaker identification
Voice biometric systems
Surveillance applications
Individual profiling or re-identification
