Malayalam ASR Validation Dataset
Malayalam ASR (Automatic Speech Recognition) validation dataset from Bhashini for supporting the development of robust regional speech recognition systems.
About Dataset
The Kathbath-Malayalam-Valid dataset serves as a critical resource for validating the performance of Automatic Speech Recognition (ASR) systems in Malayalam. With 1684 hours of labeled speech data spanning 12 Indian languages, this dataset is tailored for validation in general-domain applications. Submitted by Tahir Javed, it supports the development and enhancement of speech recognition technologies for Malayalam and other regional Indian languages, contributing to more robust multilingual ASR systems.
Dataset Metadata
Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
NA
Sector Agnostic
AI4Bharat
Unstructured
NA
NA
N.A.
24/02/25 13:22:57
Open
Hosted
Activity Overview
0
18 
283 
551.24 MB
Tags
- NLP Dataset
- Benchmark
- General Domain
- Automatic Speech Recognition
- Malayalam
- Speech Technology
- ASR
- Regional Languages
- Indian Languages
- Multilingual Dataset
- Audio Processing
- Validation Dataset
License Control
Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
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Version 1(551.24 MB)
- admin·11 month(s) ago
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