Malayalam ASR Benchmark Dataset: Kathbath Malayalam Test Known
Malayalam ASR (Automatic Speech Recognition) benchmark test dataset from Bhashini for supporting the development of robust regional speech recognition systems.
About Dataset
The Kathbath-Malayalam-Test-Known dataset is a specialized benchmark designed for testing the performance of Automatic Speech Recognition (ASR) systems in Malayalam. Featuring 1684 hours of labeled speech data across 12 Indian languages, this dataset is tailored for evaluating ASR models in general domains. Submitted by Tahir Javed, it provides a vital resource for advancing speech recognition technologies in Malayalam and other Indian regional languages, contributing to robust multilingual ASR solutions.
Dataset Metadata
Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
NA
Sector Agnostic
AI4Bharat
Unstructured
NA
NA
N.A.
24/02/25 13:22:55
Open
Hosted
Activity Overview
0
9 
107 
552.94 MB
Tags
- NLP Dataset
- Benchmark
- General Domain
- Automatic Speech Recognition
- Malayalam
- Speech Technology
- ASR
- Regional Languages
- Indian Languages
- Multilingual Dataset
- Audio Processing
License Control
Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
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Version Control
Version 1(552.94 MB)
- admin·11 month(s) ago
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