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bosonai/WildASR

WildASR Official dataset for Back to Basics: Revisiting ASR in the Age of Voice Agents. Code: github.com/boson-ai/WildASR-public Overview WildASR is a multilingual diagnostic benchmark built from real human speech to stress-test ASR robustness under real-world out-of-distribution (OOD) conditions. We decompose robustness into three axes: Environmental Degradation (the where): reverberation, far-field, phone codec, noise gap, clipping Demographic Shift (the who):… See the full description on the dataset page: https://huggingface.co/datasets/bosonai/WildASR.

Author / organizationbosonai
License (as declared)apache-2.0
Downloads557 (as reported by Hugging Face)
Likes12
Created24 March 2026
Last updated at source13 April 2026
asrrobustnessbenchmarkout-of-distributionhallucinationspeech
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  • 16 Oct 2026 Description: WildASR Official dataset for Back to Basics: Revisiting ASR in the Age of Voice Agents. Code: github.com/boson-ai/WildASR-public Overview WildASR is a multilingual diagnostic benchmark built from real human speech to stress-test ASR robustn → WildASR Official dataset for Back to Basics: Revisiting ASR in the Age of Voice Agents. Code: github.com/boson-ai/WildASR-public Overview WildASR is a multilingual diagnostic benchmark built from real human speech to stress-test ASR robustn

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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.