Jun 24, 2020 · This paper presents XLSR which learns cross-lingual speech representations by pretraining a single model from the raw waveform of speech in multiple languages.
In this tutorial, we provide a comprehensive survey of the exciting recent work on cutting-edge weakly-supervised and unsupervised cross-lingual word ...
In this section, we examine several properties of unsupervised cross-lingual representation learning for speech recognition. We show that it is particularly ...
This paper presents XLSR which learns cross-lingual speech representations by pretraining a single model from the raw waveform of speech in multiple ...
Dec 15, 2020 · This paper presents XLSR which learns cross-lingual speech representations by pretraining a single model from the raw waveform of speech in ...
This work presents a self supervised learning based audio pre-trained model which learns cross lingual speech representations from raw audio across 23 Indic ...
XLSR is a multilingual speech recognition model built on wav2vec 2.0 which is trained by solving a contrastive task over masked latent speech representations.
Unsupervised cross-lingual speech representation learning (XLSR) has recently shown promising results in speech recognition by leveraging vast amounts of ...
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Unsupervised Cross-Lingual Representation Learning for ...
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Automatic Speech Recognition: We trained seven monolingual models for the first time as baselines to evaluate the performances of the three multilingual ...
For cross- lingual understanding, we use cross-lingual natural language inference, named entity recognition, and question answering. We use the GLUE benchmark.
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