Marathi ASR Benchmark Dataset: Kathbath Marathi noisy test known
Marathi ASR (Automatic Speech Recognition) noisy test dataset from Bhashini for supporting the development of robust regional speech recognition systems.
About Dataset
This is a Marathi ASR benchmark dataset specifically designed to evaluate and improve Automatic Speech Recognition (ASR) systems in noisy and challenging scenarios, particularly in the general domain. The dataset comprises 1684 hours of labeled speech data across 12 Indian languages, with a focus on Marathi. This dataset variant, known as "Kathbath-Marathi-Noisy-Test-Known_1," provides researchers and developers with a valuable resource for building robust ASR models capable of handling real-world noisy conditions. Submitted by Tahir Javed, it supports advancements in speech recognition technologies for regional languages.
Dataset Metadata
Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
NA
Sector Agnostic
AI4Bharat
Unstructured
NA
NA
N.A.
24/02/25 13:23:44
Open
Hosted
Activity Overview
0
18 
80 
551.57 MB
Tags
- NLP Dataset
- Benchmark
- General Domain
- Automatic Speech Recognition
- Speech Technology
- ASR
- Regional Languages
- Noisy Data
- Audio Processing
- Tahir Javed
- Marathi
License Control
Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
844424930323045-45-m.wav ( 170.60 KB )
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Data Quality Score Beta
Version Control
Version 1(551.57 MB)
- admin·11 month(s) ago
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