)
Fluers Malayalam ASR Benchmark Dataset for Speech Recognition Technology
Malayalam ASR (Automatic Speech Recognition) benchmark dataset from Bhashini for supporting the development of robust regional speech recognition systems.
About Dataset
This is a Malayalam ASR benchmark dataset developed to evaluate and improve Automatic Speech Recognition (ASR) systems for the Malayalam language. The dataset includes diverse and high-quality audio samples, providing researchers and developers with a critical resource for building robust ASR models. Submitted by Microsoft, it supports the advancement of speech recognition technologies in regional languages.
Dataset Metadata
Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
NA
Sector Agnostic
Microsoft
Unstructured
NA
NA
N.A.
24/02/25 13:21:39
Open
Hosted
Activity Overview
0
8 
130 
430 MB
Tags
- NLP Dataset
- Benchmark
- General Domain
- Automatic Speech Recognition
- Malayalam
- Speech Technology
- AI4Bharat
- ASR
- Regional Languages
- Audio Processing
License Control
Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
10013487754489332324.wav ( 356.33 KB )
To preview this file, you need to be a registered user. Please complete the registration process to gain access and continue viewing the content.
Data Quality Score Beta
Version Control
Version 1(430 MB)
- admin·11 month(s) ago
10013487754489332324.wav
10069218717188856999.wav
10078044035084322628.wav
10101537866226983572.wav
10134676116368565149.wav
10168662218067058959.wav
10199103907587183560.wav
10234648330876278951.wav
10267091564765546340.wav
10270044487424671525.wav
- more_horiz 950 more
© 2026 - Copyright AIKosh. All rights reserved. This portal is developed by National e-Governance Division for AIKosh mission.