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zhifeixie/Voices-in-the-Wild-2M

Voices in the Wild Project Page | Paper | GitHub Voices in the Wild (Voices-in-the-Wild-2M) is a large-scale automatic speech recognition (ASR) dataset designed for robustness training and evaluation under diverse, real-world acoustic conditions. It covers 7 classic acoustic phenomena (including noise, far-field speech, obstruction, echo/reverberation, recording artifacts, electronic distortion, and transmission dropout) and 54 physically plausible compound scenarios. The… See the full description on the dataset page: https://huggingface.co/datasets/zhifeixie/Voices-in-the-Wild-2M.

Author / organizationzhifeixie
License (as declared)apache-2.0
Downloads2.9K (as reported by Hugging Face)
Likes52
Created18 May 2026
Last updated at source29 May 2026
audiospeechasrrobustnessnoisy-speech
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