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Massively Multilingual Adversarial Speech Recognition

arXiv 1904.02210 ↗First posted 3 Apr 2019cs.CL cs.LGcited by 28

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Abstract (arXiv)

We report on adaptation of multilingual end-to-end speech recognition models trained on as many as 100 languages. Our findings shed light on the relative importance of similarity between the target and pretraining languages along the dimensions of phonetics, phonology, language family, geographical location, and orthography. In this context, experiments demonstrate the effectiveness of two additional pretraining objectives in encouraging language-independent encoder representations: a context-independent phoneme objective paired with a language-adversarial classification objective.

Key facts. Cited by 28 papers in the map (data through 14 Oct 2026). First posted on arXiv 3 Apr 2019.

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Citing papers per year: 2021: 10; 2022: 6; 2023: 5; 2024: 5; 2025: 0; 2026: 2.

28 papers.

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  1. 2023End-to-End Speech Recognition: A Surveycited by 129
  2. 2021Scaling End-to-End Models for Large-Scale Multilingual ASRcited by 61
  3. 2021Exploiting Adapters for Cross-lingual Low-resource Speech Recognitioncited by 35
  4. 2023Improving Massively Multilingual ASR With Auxiliary CTC Objectivescited by 31
  5. 2021Pseudo-Labeling for Massively Multilingual Speech Recognitioncited by 24
  6. 2022LAE: Language-Aware Encoder for Monolingual and Multilingual ASRcited by 22
  7. 2024URIEL+: Enhancing Linguistic Inclusion and Usability in a Typological and Multilingual Knowledge Basecited by 21
  8. 2023Comparison of Multilingual Self-Supervised and Weakly-Supervised Speech Pre-Training for Adaptation to Unseen Languagescited by 20
  9. 2021Joint Modeling of Code-Switched and Monolingual ASR via Conditional Factorizationcited by 18
  10. 2021Efficient Weight factorization for Multilingual Speech Recognitioncited by 12
  11. 2022Combining Spectral and Self-Supervised Features for Low Resource Speech Recognition and Translationcited by 11
  12. 2021Differentiable Allophone Graphs for Language-Universal Speech Recognitioncited by 10
16 more
  1. 2022A Language Agnostic Multilingual Streaming On-Device ASR Systemcited by 9
  2. 2021Cross-lingual Transfer for Speech Processing using Acoustic Language Similaritycited by 8
  3. 2024An Effective Mixture-Of-Experts Approach For Code-Switching Speech Recognition Leveraging Encoder Disentanglementcited by 8
  4. 2024A Reproducibility Study on Quantifying Language Similarity: The Impact of Missing Values in the URIEL Knowledge Basecited by 7
  5. 2022Scaling Up Deliberation for Multilingual ASRcited by 6
  6. 2022Unsupervised domain adaptation for speech recognition with unsupervised error correctioncited by 5
  7. 2024How to Learn a New Language? An Efficient Solution for Self-Supervised Learning Models Unseen Languages Adaption in Low-Resource Scenariocited by 5
  8. 2021A Study of Multilingual End-to-End Speech Recognition for Kazakh, Russian, and Englishcited by 4
  9. 2023Building High-accuracy Multilingual ASR with Gated Language Experts and Curriculum Trainingcited by 4
  10. 2023UML: A Universal Monolingual Output Layer for Multilingual ASRcited by 3
  11. 2022Dim Wihl Gat Tun: The Case for Linguistic Expertise in NLP for Underdocumented Languagescited by 2
  12. 2021Utilizing Resource-Rich Language Datasets for End-to-End Scene Text Recognition in Resource-Poor Languagescited by 1
  13. 2024Automatic Speech Recognition Advancements for Indigenous Languages of the Americascited by 1
  14. 2021Robustness of end-to-end Automatic Speech Recognition Models -- A Case Study using Mozilla DeepSpeechcited by 0
  15. 2026Oral to Web: Digitizing 'Zero Resource'Languages of Bangladeshcited by 0
  16. 2026SPARCLE: SPeaker-aware Aligned Representations via Contrastive Language Embeddingscited by 0