Speech Dataset

Arabic Dataset

مجموعة البيانات العربية

High-Quality Arabic General Conversation and Text-To-Speech (TTS) for AI & Speech Models

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Arabic Dataset

Overview

  • LanguageArabic
  • Dataset TypesCall-Center, General Conversation, Scripted Monologue, Singing Audio
  • CountryArabic

Description

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

Dataset Highlights

  • LanguageArabic
  • Sample Rate24 kHz / 48 kHz / 8 kHz
  • Total Hours7894:35:33
  • Speakers2,761+
  • 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 CenterCall CenterGeneral ConversationMusicScripted MonologueScripted Monologue
Sampling Rate8 kHz8 kHz8 kHz48 kHz48 kHz24 kHz
Speakers2 Speakers2 Speakers2 SpeakersSingle SpeakerSingle SpeakerSingle Speaker
ChannelDualMonoDualMonoMonoMono
Total Hours62:52:191,025:09:19254:16:3403:17:214,249:00:002,300:00:00
Total # of SpeakersOn RequestOn Request626102,125On Request

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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