AutoSSD: A System for Automated Detection of Similar Speech Responses in Language Tests

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Authors: Michael Fauß, Jiangang Hao, Chen Li, M. R. Palmer, Ikkyu Choi
Cited by: 2
References: 24

Abstract

Evaluating spoken language proficiency stands as a pivotal component in language assessment. A well-known method for cheating in spoken language tests involves reciting pre-scripted responses. This paper presents a system called the Automated Speech Similarity Detector (AutoSSD). AutoSSD leverages state-of-the-art AI transcription to convert spoken responses into texts, analyzes these transcriptions for verbatim similarities among test takers, and provides an interactive interface for a subsequent expert review. Our system has proven effective in practical operation, and our findings can help other spoken language assessments bolster their test security measures.

Fields of Study & Subjects

Natural Language Processing Techniques Topic Modeling Speech Recognition and Synthesis

Publication details

Journal / source
ETS Research Report Series
Publisher
Educational Testing Service
Volume
2026
Issue
1
Publication date
14 May 2026
Language
EN