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Assamese_2_Left.wav
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Assamese_2_Combined.wav
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Assamese_1_Left.wav
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Bengali_1_Left.wav
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Bhojpuri_1_Left.wav
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Chattisgarhi_1_Left.wav
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Haryanvi_1_Left.wav
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Haryanvi_2_Left.wav
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Haryanvi_2_Right.wav
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Haryanvi_2_Combined.wav
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Haryanvi_3_Left.wav
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Hindi_1_Left.wav
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Telugu

Indic Conversational ASR Dataset

πŸ“Œ Dataset Overview

This dataset contains high-quality audio samples curated for Automatic Speech Recognition (ASR) tasks.

The recordings are optimized for speech recognition and are provided with:

  • Sampling Rate: 16 kHz – 24 kHz
  • Bit Depth: 16-bit
  • Audio Type: Non-scripted conversational speech
  • Format: Dual-speaker conversations

🌏 Supported Languages & Variants

Telugu Kannada Malayalam Bengali (IN – Kolkata) Bengali (IN – Non-Kolkata)
Bengali (BD) Assamese Odia Gujarati Marathi
Tamil Tamilish Hinglish Marvadi Chhattisgarhi

πŸ‘₯ Speaker Representation

  • Dual-speaker conversational recordings
  • Natural, spontaneous speech
  • Female speaker representation: ~20%–30%

πŸ›  Dataset Creation Methodology

πŸ“₯ Data Collection

Speech data was collected through micro-communities across India and neighboring regions, spanning:

  • Tier 1 cities
  • Tier 2 cities
  • Tier 3 cities

This approach ensured:

  • Linguistic diversity
  • Regional accent coverage
  • Authentic conversational patterns

πŸŽ™ Recording Setup

  • Non-scripted, dual-speaker conversations
  • Duration: 10–30 minutes per recording
  • Topics include:
    • Business
    • Finance
    • Politics
    • Daily-life discussions

βœ… Quality Validation

All audio samples underwent automated and manual validation.

πŸ” Automated Checks

SRMR β€’ SIGMOS β€’ VQScore β€’ WVMOS

Evaluated: Signal quality, perceptual clarity, speech intelligibility.

πŸ‘₯ Human Review

Ensured conversational naturalness, audio clarity, and ASR suitability.


🎯 Dataset Intended Purpose

βœ”οΈ Intended Uses

This dataset is designed for:

  • Training and fine-tuning Automatic Speech Recognition (ASR) models
  • Benchmarking conversational ASR systems
  • Code-mixed speech recognition research
  • Speaker turn detection and interruption modeling
  • Informal and spontaneous speech modeling
  • Emotion recognition research
  • Speaker interaction analysis
  • Conversational AI research
  • Academic and open-source research for low-resource Indic languages

🚫 Out-of-Scope Uses

This dataset is not intended for:

  • Real-time, safety-critical, or production-grade systems without additional validation
  • Commercial deployment without proper attribution and compliance with CC BY 4.0
  • Medical, clinical, legal, or diagnostic decision-making applications

πŸ“œ License

This dataset is released under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.

πŸ“¬ Contact

For queries regarding this dataset, please reach out to:

[arunabh@humynlabs.ai]


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