Chichewa synthetic voice dataset, TTS models, ASR models

Below is a curated collection of open resources for text-to-speech (TTS), automatic speech recognition (ASR), and synthetic voice datasets in the Chichewa language.  Text-to-Speech (TTS) Models Explore our collection of Chichewa TTS models, including XTTS and other multilingual models fine-tuned for natural-sounding Chichewa speech. View Chichewa TTS Models on Hugging Face Automatic Speech Recognition (ASR) Models […]

Hausa synthetic voice dataset, TTS models, ASR models

Below is a curated collection of open resources for text-to-speech (TTS), automatic speech recognition (ASR), and synthetic voice datasets in the Hausa language.  Text-to-Speech (TTS) Models Explore our collection of Hausa TTS models, including XTTS and other multilingual models fine-tuned for natural-sounding Hausa speech. View Hausa TTS Models on Hugging Face Automatic Speech Recognition (ASR) […]

Dholuo synthetic voice dataset, TTS models, ASR models

Below is a curated collection of open resources for text-to-speech (TTS), automatic speech recognition (ASR), and synthetic voice datasets in the Dholuo language. Text-to-Speech (TTS) Models Explore our collection of Dholuo TTS models, including XTTS and other multilingual models fine-tuned for natural-sounding Dholuo speech. View Dholuo TTS Models on Hugging Face Automatic Speech Recognition (ASR) […]

Marma TTS and text data resources

Text data This dataset contains sentences in the Marma language (ISO code: rmz), with both original and normalized forms. The dataset is designed to support language technology development for the Marma language, a Tibeto-Burman language spoken primarily by the Marma people in Bangladesh and Myanmar. This dataset was created as part of a project funded […]

EdTech’s potential for effective mother tongue education

Read the full research report here. Read the full research report in Bangla here. The Marma community is the second largest Indigenous community in the Chittagong Hill Tracts (CHT) region of Bangladesh, numbering around 300,000. Yet many Marma struggle to become literate in their first language, and Marma teachers struggle to teach reading and writing […]

Language and digital humanitarian action

Language and digital humanitarian action   Report: The state of inclusion and exclusion for marginalized language speakers in digital humanitarian services When most people directly affected by humanitarian emergencies don’t speak a powerful language, how can they be heard and get the information they need?   While humanitarian services continue to digitize, only a handful of […]

Improving access and trust in humanitarian complaints and feedback systems in northeast Nigeria: research brief

Technology could be part of the solution to current language, trust and confidentiality barriers in northeast Nigeria and Beyond. Read CLEAR Global’s research brief and recommendations for humanitarian organizations – click to view and download (English).  We heard from internally displaced people (IDPs) and humanitarians in northeast Nigeria onhow complaints and feedback mechanisms currently work. […]

A framework for the ethical use of advanced data science methods in the humanitarian sector

A framework for the ethical use of advanced data science methods in the humanitarian sector

This framework is designed to highlight key ethical considerations, and to provide a practical guide for exploring or implementing advanced data science methods to support humanitarian outcomes. It serves to help humanitarian work stakeholders, and other private and civil actors learn how to ethically and responsibly use advanced data science methods in humanitarian work. View […]

TWB glossary for WFP Community Engagement

TWB language glossary for WFP

The TWB glossary for WFP Community Engagement covers subject areas relevant to affected communities in a variety of contexts and includes a total of 216 terms in English, Arabic, Chewa, French, Portuguese, Sinhala, Spanish, Congolese Swahili and Tamil. Sign translations are also available in Malawian Sign Language and Sri Lanka Sign Languages (Sinhala and Tamil […]