Speech Dataset

Gujarati Dataset

ગુજરાતી ડેટાસેટ

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

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Gujarati Dataset

Overview

  • LanguageGujarati
  • Dataset TypesCall-Center, General Conversation, Podcast
  • CountryIndia

Description

Unscripted, synthetic telephonic conversations between an agent and a customer are available with durations of 5 to 15 minutes, while licensable public domain audio or video files, such as interviews and podcasts with 1 to 5 participants, typically range from 15 to 60 minutes.

Dataset Highlights

  • LanguageGujarati
  • Sample Rate16 kHz / 8 kHz
  • Total Hours229:42:29
  • Speakers820+
  • ChannelsDual / Mono
  • 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 ConversationMedia Data
Sampling Rate8 kHz8 kHz16 kHz
Speakers2 Speakers2 SpeakersMultiple Speakers
ChannelDualDualMono
Total Hours54:22:40149:15:1926:04:30
Total # of Speakers410308102

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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