Overview

Purpose of the Voice Playbook 
 This playbook provides practical, ethical, and scalable guidance for collecting voice datasets for African languages , particularly low-resource languages with limited digital presence . 
 The playbook enables: 
 
 
 Community-led voice dataset creation 
 
 
 Standardized speech dataset methodologies 
 
 
 Ethical and consent-based recording 
 
 
 Scalable workflows for NLP training 
 
 
 Reusable processes for future language initiatives 
 
 
 The playbook supports Automatic Speech Recognition (ASR) , Text-to-Speech (TTS) , and multimodal language models . 
 African languages remain severely underrepresented in speech datasets, limiting their participation in modern AI systems. Many African languages lack large-scale audio datasets necessary for training speech technologies. 
 
 This playbook lowers barriers by enabling grassroots communities, universities, NGOs, and language activists to collect high-quality speech data.