VoxKnesset: A Large-Scale Longitudinal Hebrew Speech Dataset for Aging Speaker Modeling

• URL: http://arxiv.org/abs/2603.01270v2
• Date: Thu, 05 Mar 2026 11:31:52 GMT
• Title: VoxKnesset: A Large-Scale Longitudinal Hebrew Speech Dataset for Aging Speaker Modeling
• Abstract summary: VoxKnesset is an open-access dataset of 2,300 hours of Hebrew parliamentary speech spanning 2009-2025.<n>We benchmark modern speech embeddings on age prediction and speaker verification under longitudinal conditions.
• Score: 0.6945826921707353
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Speech processing systems face a fundamental challenge: the human voice changes with age, yet few datasets support rigorous longitudinal evaluation. We introduce VoxKnesset, an open-access dataset of ~2,300 hours of Hebrew parliamentary speech spanning 2009-2025, comprising 393 speakers with recording spans of up to 15 years. Each segment includes aligned transcripts and verified demographic metadata from official parliamentary records. We benchmark modern speech embeddings (WavLM-Large, ECAPA-TDNN, Wav2Vec2-XLSR-1B) on age prediction and speaker verification under longitudinal conditions. Speaker verification EER rises from 2.15\% to 4.58\% over 15 years for the strongest model, and cross-sectionally trained age regressors fail to capture within-speaker aging, while longitudinally trained models recover a meaningful temporal signal. We publicly release the dataset and pipeline to support aging-robust speech systems and Hebrew speech processing.

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