Sanskrit ASR Validation Dataset
Sanskrit ASR (Automatic Speech Recognition) benchmark validation dataset from Bhashini for supporting the development of robust regional speech recognition systems.
About Dataset
The Kathbath-Sanskrit-Valid dataset is a validation dataset specifically designed to test and refine the performance of Automatic Speech Recognition (ASR) systems in Sanskrit. With 1684 hours of labeled speech data across 12 Indian languages, this dataset is optimized for validating ASR models in general domains. Submitted by Tahir Javed, it is a crucial resource for advancing ASR technologies for Sanskrit and other regional Indian languages, contributing to 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 13:23:19
Open
Hosted
Activity Overview
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9 
180 
554.87 MB
Tags
- NLP Dataset
- Benchmark
- General Domain
- Automatic Speech Recognition
- Speech Technology
- ASR
- Regional Languages
- Indian Languages
- Multilingual Dataset
- Audio Processing
- Validation Dataset
- Sanskrit
License Control
Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
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Version 1(554.87 MB)
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