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IIT-M : ASR Hindi Evaluation Benchmark

IIT-M : ASR Hindi Evaluation Benchmark

This is the Hindi ASR (Automatic Speech Recognition) benchmark dataset, contributed by Speech Lab at IIT-Madras. These were released as part of the ASR (Automatic Speech Recognition) challenges under NLTM (funded by MeitY).

About Dataset

This is the Hindi ASR benchmark dataset, contributed by the Speech Lab at IIT-Madras. The dataset was released as part of the ASR challenges under the National Language Translation Mission (NLTM), funded by the Ministry of Electronics and Information Technology (MeitY). It is designed to support the evaluation and development of Automatic Speech Recognition (ASR) systems for Hindi in general-use scenarios. The dataset provides high-quality and diverse audio samples, making it a critical resource for advancing speech recognition technologies for regional languages like Hindi.

Activity Overview Activity Overview

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  • File Size 521.30 MB

Tags Tags

  • NLP Dataset
  • Hindi
  • Benchmark
  • General Domain
  • Automatic Speech Recognition
  • Speech Technology
  • ASR
  • Regional Languages
  • Audio Processing
  • MeitY
  • Speech Lab
  • NLTM
  • IIT Madras

License Control License Control

Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)

ahd_00026_long_00047_hin_0006.wav ( 184.42 KB )


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FolderVersion 1(521.30 MB)
  • admin·11 month(s) ago
    • chevron_rightFolder
      IITM_hindi_eval_10-08-2021_05-29
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