SpeeD-TB - Meitei
A speech and transcription dataset for the Meitei (Manipuri) language containing raw and transcribed audio collected through multiple elicitation and recording methods to support technology, NLP research and language preservation.
About Dataset
This dataset is a collection of raw and transcribed speech data for the Meitei language, curated under the SpeeD-TB project for Tibeto-Burman Indian languages. The data will be collected approximately from 80-100 speakers, and mostly from the age groups 20-50 years. The dataset is mostly collected from education, agriculture and science and technlogy domain. It contains audio recordings of approximately 5.5 hours and corresponding transcriptions. The dataset contributes to digital language preservation and computational resource development for Meitei, which is an important Tibeto-Burman language spoken in India. This dataset was identified and facilitated for onboarding as part of the Dataset Onboarding Support Team (DOST) initiative led by by CivicDataLab (CDL), partnering with the Gates Foundation in collaboration with BHASHINI. CivicDataLab provided technical support for dataset discovery, validation, metadata preparation and onboarding facilitation. All dataset ownership and intellectual property rights remain with the original author(s).
Purpose of Dataset
The Purpose Of This Dataset Is To Support The Development Of Speech Technologies And Natural Language Processing Tools For The Meitei Language. It Can Be Used For Automatic Speech Recognition, Speech-to-text Modeling, Multilingual Ai Systems, Linguistic Analysis, Language Modeling, Transcription Research, Low-resource Language Technology Development, And Preservation Of Linguistic And Cultural Heritage Associated With The Meitei Language.
Dataset Metadata
Attribution 4.0 International (CC BY- 4.0)
India
Science, Technology and Research
Ritesh Kumar, Siddharth Singh, Speed-TB Project
Structured
Static
NA
01/04/2022 - 31/03/2024
02/06/26 08:45:16
Open
Id
Redirected
Hybrid
Https://github.com/speed-tb/meitei
Speech Samples In The Meitei Language Were Collected And Curated Through Multiple Elicitation And Recording Methods, Including Field Interviews, Narrations, Translations, Lectures, Questionnaires, And App-supported Linguistic Data Collection Workflows. The Collected Audio Recordings Were Transcribed And Organized Into Structured Speech-text Resources To Support Supervised Machine Learning By Using Praat Software.
Activity Overview
0
1 
2.21 GB 
12
Tags
- Manipuri
- Meitei
- Manipur
- Northeast India Languages
- Low Resource NLP
- Multilingual NLP
- Indic NLP
- Multilingual Data
- Speech dataset
- Automatic speech recognition
- Speech-to-text
- Low-resource languages
- Transcribed speech
- Audio corpus
- Tibeto-Burman languages
- Speech technology
- Indic languages
- Computational linguistics
License Control
Attribution 4.0 International (CC BY- 4.0)
SpeeDTBMeitei ( 1 files, 1 directories )
audio
1512 files
transcription.json
823.59 KB
Data Quality Score Beta
Version Control
Version 1(2.21 GB)
- Nikil Augustine·1 day(s) ago
- chevron_right
SpeeDTBMeitei
- chevron_right
audio
transcription.json
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