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Francis Keith

2 accepted papers

2022

Combining Unsupervised and Text Augmented Semi-Supervised Learning For Low Resourced Autoregressive Speech Recognition

ICASSP 2022accepted

Recent advances in unsupervised representation learning have demonstrated the impact of pretraining on large amounts of read speech. We adapt these techniques for domain adaptation in low-resource—both in terms of data and compute—conversational and broadcast domains. Moving beyond CTC, we pretrain…

Cited by 0SourceScholar
2018

Optimizing Multilingual Knowledge Transfer for Time-Delay Neural Networks with Low-Rank Factorization

ICASSP 2018accepted

When producing speech-to-text (STT) systems on a lower resource language, it is often beneficial to use knowledge obtained from a significantly larger multilingual dataset. We have seen benefits from using a multilingual TDNN as initialization for training an acoustic model on a target low resource…

Cited by 0SourceScholar