mlsanityData to 7 Oct 2026

HuPER: A Human-Inspired Framework for Phonetic Perception

arXiv 2602.01634 ↗First posted 2 Feb 2026eess.AS cs.AIcited by 3

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Abstract (arXiv)

We propose HuPER, a human-inspired framework that models phonetic perception as adaptive inference over acoustic-phonetics evidence and linguistic knowledge. With only 100 hours of training data, HuPER achieves state-of-the-art phonetic error rates on five English benchmarks and strong zero-shot transfer to 95 unseen languages. HuPER is also the first framework to enable adaptive, multi-path phonetic perception under diverse acoustic conditions. All training data, models, and code are open-sourced. Code and demo avaliable at https://github.com/Berkeley-Speech-Group/HuPER.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 29 of its 72 references that are in the map. First posted on arXiv 2 Feb 2026.

Builds on

29 of 72 references.

References · 29

  1. 2022Robust Speech Recognition via Large-Scale Weak Supervisioncited by 3,972
  2. 2020wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representationscited by 3,853
  3. 2021HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Unitscited by 2,301
  4. 2021WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processingcited by 1,609
  5. 2019Self-training with Noisy Student improves ImageNet classificationcited by 1,304
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  7. 2020Unsupervised Cross-lingual Representation Learning for Speech Recognitioncited by 496
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17 more
  1. 2020Universal Phone Recognition with a Multilingual Allophone Systemcited by 81
  2. 2021Simple and Effective Zero-shot Cross-lingual Phoneme Recognitioncited by 79
  3. 2024Self-Supervised Speech Representations are More Phonetic than Semanticcited by 70
  4. 2021speechocean762: An Open-Source Non-native English Speech Corpus For Pronunciation Assessmentcited by 57
  5. 2022ByT5 model for massively multilingual grapheme-to-phoneme conversioncited by 49
  6. 2025Omnilingual ASR: Open-Source Multilingual Speech Recognition for 1600+ Languagescited by 32
  7. 2023BabySLM: language-acquisition-friendly benchmark of self-supervised spoken language modelscited by 29
  8. 2023WavJourney: Compositional Audio Creation with Large Language Modelscited by 27
  9. 2025ZIPA: A family of efficient models for multilingual phone recognitioncited by 18
  10. 2025POWSM: A Phonetic Open Whisper-Style Speech Foundation Modelcited by 14
  11. 2023Allophant: Cross-lingual Phoneme Recognition with Articulatory Attributescited by 13
  12. 2024SSDM: Scalable Speech Dysfluency Modelingcited by 13
  13. 2024Phonetic Segmentation of the UCLA Phonetics Lab Archivecited by 9
  14. 2025Mixture of Cognitive Reasoners: Modular Reasoning with Brain-Like Specializationcited by 9
  15. 2023MultiPA: A Multi-task Speech Pronunciation Assessment Model for Open Response Scenarioscited by 7
  16. 2025Dysfluent WFST: A Framework for Zero-Shot Speech Dysfluency Transcription and Detectioncited by 5
  17. 2025Speech World Model: Causal State-Action Planning with Explicit Reasoning for Speechcited by 2

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 3.

3 papers.

  1. 2026An Empirical Recipe for Universal Phone Recognitioncited by 5
  2. 2026Scaling Human and G2P Supervision for Robust Phonetic Transcriptioncited by 1
  3. 2026LoRA-Tuned Large Language Models for Dementia Detection via Multi-View Speech-Derived Featurescited by 0