Papers by Robert Jimerson
An (unhelpful) guide to selecting the best ASR architecture for your under-resourced language (2023.acl-short)
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| Challenge: | English ASR now has word error rates comparable to that of human transcriptionists, but only for the handful of the world's 7000 languages with abundant training resources. |
| Approach: | They propose to use four of the most popular ASR toolkits to train ASR models for eleven languages with limited ASR training resources: eleven widely spoken languages of Africa, Asia, and South America, one endangered language of Central America, and three critically endangered languages of North America. |
| Outcome: | The proposed architecture outperforms four of the most popular ASR toolkits for eleven languages with limited training resources. |