VoxAging: Continuously Tracking Speaker Aging with a Large-Scale Longitudinal Dataset in English and Mandarin
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Abstract (arXiv)
The performance of speaker verification systems is adversely affected by speaker aging. However, due to challenges in data collection, particularly the lack of sustained and large-scale longitudinal data for individuals, research on speaker aging remains difficult. In this paper, we present VoxAging, a large-scale longitudinal dataset collected from 293 speakers (226 English speakers and 67 Mandarin speakers) over several years, with the longest time span reaching 17 years (approximately 900 weeks). For each speaker, the data were recorded at weekly intervals. We studied the phenomenon of speaker aging and its effects on advanced speaker verification systems, analyzed individual speaker aging processes, and explored the impact of factors such as age group and gender on speaker aging research.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 15 of its 31 references that are in the map. First posted on arXiv 27 May 2025.
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15 of 31 references.
References · 15
- 2022Robust Speech Recognition via Large-Scale Weak Supervisioncited by 4,057
- 2017VoxCeleb: a large-scale speaker identification datasetcited by 732
- 2020ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verificationcited by 628
- 2024YOLO-World: Real-Time Open-Vocabulary Object Detectioncited by 503
- 2023CAM++: A Fast and Efficient Network for Speaker Verification Using Context-Aware Maskingcited by 102
- 2023FunASR: A Fundamental End-to-End Speech Recognition Toolkitcited by 95
- 2022Separate What You Describe: Language-Queried Audio Source Separationcited by 45
- 2023An Enhanced Res2Net with Local and Global Feature Fusion for Speaker Verificationcited by 42
- 2024EmoBox: Multilingual Multi-corpus Speech Emotion Recognition Toolkit and Benchmarkcited by 40
- 2022Pushing the limits of self-supervised speaker verification using regularized distillation frameworkcited by 15
- 20233D-Speaker: A Large-Scale Multi-Device, Multi-Distance, and Multi-Dialect Corpus for Speech Representation Disentanglementcited by 15
- 2024Self-Distillation Prototypes Network: Learning Robust Speaker Representations without Supervisioncited by 5
3 more
- 2022Cross-Age Speaker Verification: Learning Age-Invariant Speaker Embeddingscited by 4
- 2023CN-Celeb-AV: A Multi-Genre Audio-Visual Dataset for Person Recognitioncited by 4
- 2023Speaker Verification Across Ages: Investigating Deep Speaker Embedding Sensitivity to Age Mismatch in Enrollment and Test Speechcited by 4
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Citing papers per year: 2026: 1.
1 paper.