mlsanityData to 7 Oct 2026

Cross-lingual Transfer for Speech Processing using Acoustic Language Similarity

arXiv 2111.01326 ↗First posted 2 Nov 2021eess.AS cs.CL cs.SDcited by 8

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Abstract (arXiv)

Speech processing systems currently do not support the vast majority of languages, in part due to the lack of data in low-resource languages. Cross-lingual transfer offers a compelling way to help bridge this digital divide by incorporating high-resource data into low-resource systems. Current cross-lingual algorithms have shown success in text-based tasks and speech-related tasks over some low-resource languages. However, scaling up speech systems to support hundreds of low-resource languages remains unsolved. To help bridge this gap, we propose a language similarity approach that can efficiently identify acoustic cross-lingual transfer pairs across hundreds of languages. We demonstrate the effectiveness of our approach in language family classification, speech recognition, and speech synthesis tasks.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 28 of its 59 references that are in the map. First posted on arXiv 2 Nov 2021.

Builds on

28 of 59 references.

References · 28

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16 more
  1. 2019A Comparative Study on Transformer vs RNN in Speech Applicationscited by 210
  2. 2019Choosing Transfer Languages for Cross-Lingual Learningcited by 143
  3. 2021MultiBench: Multiscale Benchmarks for Multimodal Representation Learningcited by 143
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  5. 2017Multilingual Speech Recognition With A Single End-To-End Modelcited by 87
  6. 2019Cross-Lingual Natural Language Generation via Pre-Trainingcited by 63
  7. 2019ESPnet-TTS: Unified, Reproducible, and Integratable Open Source End-to-End Text-to-Speech Toolkitcited by 60
  8. 2019Massively Multilingual Adversarial Speech Recognitioncited by 28
  9. 2018Sequence-based Multi-lingual Low Resource Speech Recognitioncited by 20
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  11. 2020Towards Zero-shot Learning for Automatic Phonemic Transcriptioncited by 14
  12. 2020Improving Cross-Lingual Transfer Learning for End-to-End Speech Recognition with Speech Translationcited by 14
  13. 2021Task-Specific Pre-Training and Cross Lingual Transfer for Code-Switched Datacited by 5
  14. 2021SIGTYP 2021 Shared Task: Robust Spoken Language Identificationcited by 5
  15. 2019Multilingual Speech Recognition with Corpus Relatedness Samplingcited by 3
  16. 2020Automatically Identifying Language Family from Acoustic Examples in Low Resource Scenarioscited by 2

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 1; 2023: 0; 2024: 4; 2025: 0; 2026: 3.

8 papers.