Multilingual Malayalam ASR Benchmark Dataset: Kathbath Malayalam Test Unknown
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-Unknown_1 dataset is an Automatic Speech Recognition (ASR) benchmark designed to evaluate the performance of ASR systems in Malayalam. With 1684 hours of labeled speech data spanning 12 Indian languages, this dataset is optimized for testing in general domains. Submitted by Tahir Javed, it serves as an essential resource for researchers and developers to advance ASR technologies for Malayalam and other regional Indian languages, contributing significantly to multilingual and regional language 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 13:22:54
Open
Hosted
Activity Overview
0
6 
57 
339.25 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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Data Quality Score Beta
Version Control
Version 1(339.25 MB)
- admin·11 month(s) ago
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