Simple and Effective Zero-shot Cross-lingual Phoneme Recognition
Simple and Effective Zero-shot Cross-lingual Phoneme Recognition
复制标题
简单有效的零样本跨语言音素识别
DOI:
10.21437/interspeech.2022-60
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发表时间:
2021
期刊:
影响因子:
--
通讯作者:
Michael Auli
中科院分区:
文献类型:
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作者:
Qiantong Xu;Alexei Baevski;Michael Auli
Recent progress in self-training, self-supervised pretraining and unsupervised learning enabled well performing speech recognition systems without any labeled data. However, in many cases there is labeled data available for related languages which is not utilized by these methods. This paper extends previous work on zero-shot cross-lingual transfer learning by fine-tuning a multilingually pretrained wav2vec 2.0 model to transcribe unseen languages. This is done by mapping phonemes of the training languages to the target language using articulatory features. Experiments show that this simple method significantly outperforms prior work which introduced task-specific architectures and used only part of a monolingually pretrained model.
DOI:
10.1109/icassp40776.2020.9054362
发表时间:
2020-02
期刊:
ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
影响因子:
--
作者:
Xinjian Li;Siddharth Dalmia;Juncheng Billy Li;Matthew Russell Lee;Patrick Littell;Jiali Yao;Antonios Anastasopoulos;David R. Mortensen;Graham Neubig;A. Black;Florian Metze
通讯作者:
Xinjian Li;Siddharth Dalmia;Juncheng Billy Li;Matthew Russell Lee;Patrick Littell;Jiali Yao;Antonios Anastasopoulos;David R. Mortensen;Graham Neubig;A. Black;Florian Metze