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Sanskrit ASR Benchmark Dataset: Noisy Speech Recognition

Sanskrit ASR Benchmark Dataset: Noisy Speech Recognition

Sanskrit ASR (Automatic Speech Recognition) benchmark noisy dataset from Bhashini for supporting the development of robust regional speech recognition systems.

About Dataset

This is a Sanskrit 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 Sanskrit. This dataset variant, known as "Kathbath-Sanskrit-Noisy-Test-Known," 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.

Activity Overview Activity Overview

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  • Views 77
  • File Size 554.67 MB

Tags Tags

  • NLP Dataset
  • Benchmark
  • General Domain
  • Automatic Speech Recognition
  • Speech Technology
  • ASR
  • Regional Languages
  • Noisy Data
  • Audio Processing
  • Sanskrit
  • Tahir Javed

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CC BY-SA 4.0

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