Speech Dataset

Urdu Dataset

High-Quality Urdu Call-Center, and General Conversation Dataset for AI & Speech Models

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Urdu Dataset

Overview

  • LanguageUrdu
  • Dataset TypesCall-Center, General Conversation
  • CountryPakistan

Description

This dataset includes unscripted synthetic agent–customer telephonic conversations (5–15 minutes), natural human-to-human telephonic conversations in Urdu (15–60 minutes) with transcriptions, providing diverse speech data for training and evaluating speech and language technologies.

Dataset Highlights

  • LanguageUrdu
  • Sample Rate44 kHz / 8 kHz
  • Total Hours125:21:27
  • Speakers820+
  • ChannelsDual
  • Duration Range5 - 60 mins

Use Cases

  • ASR (Automatic Speech Recognition)
  • Virtual Assistants & Chatbots
  • Conversational AI
  • Speech Analytics
  • TTS (Text-to-Speech)
  • Language Modelling

Sample Dataset Specs

Dataset TypeCall CenterGeneral Conversation
Sampling Rate8 kHz44 kHz
Speakers2 Speakers2 Speakers
ChannelDualDual
Total Hours85:37:2439:44:03
Total # of Speakers484336

Key Benefits

  • Diverse & RepresentativeBroad speaker coverage for inclusive, real-world AI.
  • High-Quality AudioClean, balanced recordings for reliable model performance.
  • Ready for AI/MLStructured and annotated for seamless integration.
  • Scalable & FlexibleMultiple durations, speakers, and domains to fit your needs.

Featured Clients

Trusted by leading AI teams and enterprises worldwide.

  • Microsoft
  • Amazon Web Services
  • Google

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