mlsanityData to 14 Oct 2026

ManWav: The First Manchu ASR Model

arXiv 2406.13502 ↗First posted 19 Jun 2024cs.CL cs.SD eess.AScited by 1

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Abstract (arXiv)

This study addresses the widening gap in Automatic Speech Recognition (ASR) research between high resource and extremely low resource languages, with a particular focus on Manchu, a critically endangered language. Manchu exemplifies the challenges faced by marginalized linguistic communities in accessing state-of-the-art technologies. In a pioneering effort, we introduce the first-ever Manchu ASR model ManWav, leveraging Wav2Vec2-XLSR-53. The results of the first Manchu ASR is promising, especially when trained with our augmented data. Wav2Vec2-XLSR-53 fine-tuned with augmented data demonstrates a 0.02 drop in CER and 0.13 drop in WER compared to the same base model fine-tuned with original data.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 10 of its 19 references that are in the map. First posted on arXiv 19 Jun 2024.

Builds on

10 of 19 references.

References · 10

  1. 2020wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representationscited by 3,905
  2. 2021HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Unitscited by 2,342
  3. 2020Unsupervised Cross-lingual Representation Learning for Speech Recognitioncited by 501
  4. 2019A Comparative Study on Transformer vs RNN in Speech Applicationscited by 211
  5. 2020Data Augmenting Contrastive Learning of Speech Representations in the Time Domaincited by 63
  6. 2023Making More of Little Data: Improving Low-Resource Automatic Speech Recognition Using Data Augmentationcited by 31
  7. 2021Pseudo-Labeling for Massively Multilingual Speech Recognitioncited by 24
  8. 2023A Novel Self-training Approach for Low-resource Speech Recognitioncited by 7
  9. 2022Automatic Speech Recognition of Low-Resource Languages Based on Chukchicited by 2
  10. 2023Mergen: The First Manchu-Korean Machine Translation Model Trained on Augmented Datacited by 2

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Cited by year

Citing papers per year: 2024: 1.

1 paper.

  1. 2024Automatic Speech Recognition for the Ika Languagecited by 1