Sanskrit Speech Recognition Dataset: Kathbath Sanskrit Test Known
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-Known dataset is a specialized benchmark dataset for evaluating the performance of Automatic Speech Recognition (ASR) systems in Sanskrit. It includes 1684 hours of labeled speech data spanning 12 Indian languages, tailored for testing ASR models in general domains. Submitted by Tahir Javed, this dataset provides a valuable resource for advancing speech recognition technologies for Sanskrit and other regional Indian languages, contributing to 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 13:23:16
Open
Hosted
Activity Overview
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32 
663 
552.49 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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Version Control
Version 1(552.49 MB)
- admin·1 year(s) ago
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