mlsanityData to 14 Oct 2026

TalTech Systems for the Interspeech 2025 ML-SUPERB 2.0 Challenge

arXiv 2506.01458 ↗First posted 2 Jun 2025cs.CL eess.AScited by 1

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Abstract (arXiv)

This paper describes the language identification and multilingual speech recognition system developed at Tallinn University of Technology for the Interspeech 2025 ML-SUPERB 2.0 Challenge. A hybrid language identification system is used, consisting of a pretrained language embedding model and a light-weight speech recognition model with a shared encoder across languages and language-specific bigram language models. For speech recognition, three models are used, where only a single model is applied for each language, depending on the training data availability and performance on held-out data. The model set consists of a finetuned version of SeamlessM4T, MMS-1B-all with custom language adapters and MMS-zeroshot. The system obtained the top overall score in the challenge.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 12 of its 22 references that are in the map. First posted on arXiv 2 Jun 2025.

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12 of 22 references.

References · 12

  1. 2021SUPERB: Speech processing Universal PERformance Benchmarkcited by 666
  2. 2018Subword Regularization: Improving Neural Network Translation Models with Multiple Subword Candidatescited by 639
  3. 2018ESPnet: End-to-End Speech Processing Toolkitcited by 558
  4. 2021Dynabench: Rethinking Benchmarking in NLPcited by 459
  5. 2023Scaling Speech Technology to 1,000+ Languagescited by 411
  6. 2023Seamless: Multilingual Expressive and Streaming Speech Translationcited by 192
  7. 2020VoxLingua107: a Dataset for Spoken Language Recognitioncited by 122
  8. 2023GlotLID: Language Identification for Low-Resource Languagescited by 39
  9. 2021Leveraging End-to-End ASR for Endangered Language Documentation: An Empirical Study on Yolox'ochitl Mixteccited by 15
  10. 2022Combining Spectral and Self-Supervised Features for Low Resource Speech Recognition and Translationcited by 11
  11. 2022Improving Language Identification of Accented Speechcited by 10
  12. 2024Scaling A Simple Approach to Zero-Shot Speech Recognitioncited by 8

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Citing papers per year: 2025: 1.

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  1. 2025Geolocation-Aware Robust Spoken Language Identificationcited by 0