Speech Dataset

South African English Dataset

High-Quality South African English Call-Center and Media (Podcast) Dataset for AI & Speech Models

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South African English Dataset

Overview

  • LanguageSouth African English
  • Dataset TypesCall-Center, Podcast
  • CountrySouth Africa

Description

This dataset includes unscripted synthetic agent–customer telephonic conversations (5–15 minutes) and licensable public domain audio or video files, such as interviews and podcasts with 1 to 5 participants (15–60 minutes).

Dataset Highlights

  • LanguageSouth African English
  • Sample Rate16 kHz / 8 kHz
  • Total Hours378:01:14
  • Speakers1,011+
  • 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 CenterMedia Data
Sampling Rate8 kHz16 kHz
Speakers2 SpeakersMultiple Speakers
ChannelDualMono
Total Hours132:37:21245:23:53
Total # of Speakers324687

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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