Editing Deep Learning Revolution (section)

=== Zero-shot and Few-shot Learning ===
The continued development of Deep Neural Networks allows for the potential enhancements of zero-shot and few-shot learning for ASR systems, especially in the English language. This will allow ASR’s to recognize speech with little to no training.  One example of this is a study conducted on AphasiaBank, the largest datasource for aphasic speech recognition. Although it is the largest datasource, AphasiaBank only holds under 100 hours of audio data. Despite this, pre-training large models on a universal dataset shows a zero-shot 22% improvement on AphasiaBank.<ref>Xiao, A., Zheng, W., Keren, G., Le, D., Zhang, F., Fuegen, C., ... & Mohamed, A. (2021). Scaling asr improves zero and few shot learning. ''arXiv preprint arXiv:2111.05948''.</ref> This bodes well for other ASR applications with small resource pools.