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Punjabi ASR Benchmark Dataset (Kathbath Punjabi test unknown)
Punjabi ASR (Automatic Speech Recognition) benchmark test dataset for supporting the development of robust regional speech recognition systems.
About Dataset
The Kathbath-Punjabi-Test-Unknown dataset is a robust benchmark for testing Automatic Speech Recognition (ASR) systems in Punjabi. This dataset comprises 1684 hours of labeled speech data spanning 12 Indian languages, tailored for general-domain scenarios. Submitted by Tahir Javed, it is a vital resource for advancing speech recognition technologies for Punjabi and other regional Indian languages, facilitating 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 13:23:13
Open
Hosted
Activity Overview
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9 
69 
330.81 MB
Tags
- NLP Dataset
- Benchmark
- Punjabi
- General Domain
- Automatic Speech Recognition
- 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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Version Control
Version 1(330.81 MB)
- admin·11 month(s) ago
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