Punjabi ASR Validation Dataset: Kathbath-Punjabi-Valid
Punjabi ASR (Automatic Speech Recognition) benchmark validation dataset for supporting the development of robust regional speech recognition systems.
About Dataset
The Kathbath-Punjabi-Valid dataset serves as a validation resource for testing and improving the performance of Automatic Speech Recognition (ASR) systems in Punjabi. With 1684 hours of labeled speech data across 12 Indian languages, this dataset is designed for validating ASR models in general-domain applications. Submitted by Tahir Javed, it provides essential support for advancing speech recognition technologies in Punjabi and other Indian regional languages, contributing to the development of reliable 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 13:23:15
Open
Hosted
Activity Overview
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12 
89 
552.26 MB
Tags
- NLP Dataset
- Benchmark
- Punjabi
- General Domain
- Automatic Speech Recognition
- Speech Technology
- ASR
- Regional Languages
- Indian Languages
- Multilingual Dataset
- Audio Processing
- Validation Dataset
License Control
Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
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Version 1(552.26 MB)
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