CDLI Non-standard speech datasets
Collection
Speech datasets of speakers with non-standard speech (different severity levels and types of speech impairment). • 6 items • Updated • 3
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This dataset provides 8.8 hours of Ga standard speech recordings (16,028 samples) from 81 Ga speakers with standard speech.
This dataset includes a split into a training, test and development set. The splits were created avoiding any overlap on the speaker or phrase level. Two passes of transcription have been made to ensure correctness. For this dataset, all recordings with low confidence transcriptions or disagreement between transcribers have been removed.
Additionally, this dataset contains speaker metadata such as gender and age However, the dataset is fully anonymized, all potentially identifying information has been removed.
Recordings were gathered in and around Accra, Ghana in 2025. They are based on picture and text-based prompts, designed to capture natural, everyday speech patterns.
This dataset was designed and commissioned by the Global Disability Innovation Hub and collected and operationalised by the University of Ghana, in collaboration with University College London and Talking Tipps Africa, through the Centre for Digital Language Inclusion (CDLI), as part of a project to support the development of automatic speech recognition tools for impaired speech in Ghanaian languages.
Users of this dataset must acknowledge our Terms & Conditions It is strictly forbidden to attempt de-anonymize the dataset with the intent to reconstruct the identify of the speakers in this dataset.
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