Models & Demos
Try our models live right here. Each demo runs on CPU and processes your audio directly.
African Speech ID
1,386 African languages
Identify which African language is being spoken in an audio clip. Uses a fast version of Omnilingual ASR to transcribe speech, then a lightweight classifier names the language. Runs entirely on CPU.
CPU-friendly: 3.5x realtime on one core
Classification head: 265 MB
Speech recogniser: 365 MB
5 seconds minimum audio
Audio ClassificationONNXApache 2.0
Live Demo
African Speech ID
Pick a sample audio below to see what the model makes of it.
Five seconds minimum, ten or more works best.
African Speech Gender ID
Audio Classification
Identify speaker gender from African speech audio. Trained on diverse African language data for robust performance across accents and recording conditions.
Audio ClassificationGender ID
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