Leveraging pre-trained representations to improve access to untranscribed speech from endangered languages

N San, M Bartelds, M Browne, L Clifford… - 2021 IEEE Automatic …, 2021 - ieeexplore.ieee.org
Pre-trained speech representations like wav2vec 2.0 are a powerful tool for automatic
speech recognition (ASR). Yet many endangered languages lack sufficient data for pre …
被引用次数：16 相关文章

[引用][C] Leveraging Pre-Trained Representations to Improve Access to Untranscribed Speech from Endangered Languages

N San, M Bartelds, M Browne… - 2021 IEEE …, 2022 - espace.library.uq.edu.au
Pre-trained speech representations like wav2vec 2.0 are a powerful tool for automatic
speech recognition (ASR). Yet many endangered languages lack sufficient data for pre …

Leveraging pre-trained representations to improve access to untranscribed speech from endangered languages

N San, M Bartelds, M Browne, L Clifford, F Gibson… - 2022 - research.rug.nl
Pre-trained speech representations like wav2vec 2.0 are a powerful tool for automatic
speech recognition (ASR). Yet many endangered languages lack sufficient data for pre …

Leveraging pre-trained representations to improve access to untranscribed speech from endangered languages

N San, M Bartelds, M Browne, L Clifford… - arXiv e …, 2021 - ui.adsabs.harvard.edu
Pre-trained speech representations like wav2vec 2.0 are a powerful tool for automatic
speech recognition (ASR). Yet many endangered languages lack sufficient data for pre …

Leveraging pre-trained representations to improve access to untranscribed speech from endangered languages

N San, M Bartelds, M Browne… - 2021 IEEE …, 2021 - research-repository.uwa.edu.au
Pre-trained speech representations like wav2vec 2.0 are a powerful tool for automatic
speech recognition (ASR). Yet many endangered languages lack sufficient data for pre …

Leveraging pre-trained representations to improve access to untranscribed speech from endangered languages

N San, M Bartelds, M Browne… - 2021 IEEE …, 2021 - researchers.mq.edu.au
Pre-trained speech representations like wav2vec 2.0 are a powerful tool for automatic
speech recognition (ASR). Yet many endangered languages lack sufficient data for pre …

Leveraging pre-trained representations to improve access to untranscribed speech from endangered languages

N San, M Bartelds, M Browne, L Clifford… - arXiv preprint arXiv …, 2021 - arxiv.org
Pre-trained speech representations like wav2vec 2.0 are a powerful tool for automatic
speech recognition (ASR). Yet many endangered languages lack sufficient data for pre …