Sanskrit ASR Benchmark Dataset: Kathbath Sanskrit Test Unknown
Sanskrit ASR (Automatic Speech Recognition) benchmark test dataset from Bhashini for supporting the development of robust regional speech recognition systems.
About Dataset
The Kathbath-Sanskrit-Test-Unknown dataset is a comprehensive benchmark dataset designed to evaluate the performance of Automatic Speech Recognition (ASR) systems in Sanskrit. Featuring 1684 hours of labeled speech data across 12 Indian languages, it is tailored for general-domain testing scenarios. Submitted by Tahir Javed, this dataset is a valuable resource for advancing ASR technologies for Sanskrit and other regional Indian languages, facilitating the development of 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 13:23:18
Open
Hosted
Activity Overview
0
8 
114 
332.89 MB
Tags
- NLP Dataset
- Benchmark
- General Domain
- Automatic Speech Recognition
- Speech Technology
- ASR
- Regional Languages
- Indian Languages
- Multilingual Dataset
- Audio Processing
- Sanskrit
License Control
Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
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Data Quality Score Beta
Version Control
Version 1(332.89 MB)
- admin·11 month(s) ago
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