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On Barriers to Archival Audio Processing

arXiv 2507.08768 ↗First posted 11 Jul 2025cs.SD cs.AI cs.CLcited by 0

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Abstract (arXiv)

In this study, we leverage a unique UNESCO collection of mid-20th century radio recordings to probe the robustness of modern off-the-shelf language identification (LID) and speaker recognition (SR) methods, especially with respect to the impact of multilingual speakers and cross-age recordings. Our findings suggest that LID systems, such as Whisper, are increasingly adept at handling second-language and accented speech. However, speaker embeddings remain a fragile component of speech processing pipelines that is prone to biases related to the channel, age, and language. Issues which will need to be overcome should archives aim to employ SR methods for speaker indexing.

Key facts. No citing papers in the map yet (data through 13 Oct 2026). Builds on 17 of its 24 references that are in the map. First posted on arXiv 11 Jul 2025.

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References · 17

  1. 2022Robust Speech Recognition via Large-Scale Weak Supervisioncited by 4,004
  2. 2017VoxCeleb: a large-scale speaker identification datasetcited by 719
  3. 2020ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verificationcited by 612
  4. 2021XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scalecited by 594
  5. 2022FLEURS: Few-shot Learning Evaluation of Universal Representations of Speechcited by 459
  6. 2021VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretationcited by 456
  7. 2023Scaling Speech Technology to 1,000+ Languagescited by 402
  8. 2019pyannote.audio: neural building blocks for speaker diarizationcited by 178
  9. 2020VoxLingua107: a Dataset for Spoken Language Recognitioncited by 119
  10. 2022Wespeaker: A Research and Production oriented Speaker Embedding Learning Toolkitcited by 93
  11. 2023On the Robustness of Arabic Speech Dialect Identificationcited by 13
  12. 2022Improving Language Identification of Accented Speechcited by 10
5 more
  1. 2018A Novel Learnable Dictionary Encoding Layer for End-to-End Language Identificationcited by 7
  2. 2022Cross-Age Speaker Verification: Learning Age-Invariant Speaker Embeddingscited by 4
  3. 2023Speaker Verification Across Ages: Investigating Deep Speaker Embedding Sensitivity to Age Mismatch in Enrollment and Test Speechcited by 4
  4. 2019Challenging the Boundaries of Speech Recognition: The MALACH Corpuscited by 3
  5. 2020Improving Language Identification for Multilingual Speakerscited by 2

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