alexsdl/EchoLens
EchoLens A Human-Speech Dataset for Auditing Demographic Sensitivity in Audio-Language Models 📄 Paper (EMNLP 2026 Findings) · 💻 Code Voice interfaces are increasingly moving away from transcription pipelines toward end-to-end systems that directly respond to audio inputs. This development in turn requires a shift in evaluation methodology away from transcription accuracy and towards more substantive markers such as response validity. We introduce EchoLens, a demographically… See the full description on the dataset page: https://huggingface.co/datasets/alexsdl/EchoLens.
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