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20172020
most citedMultilingual Jointly Trained Acoustic and Written Word Embeddings

3 citations · 5 across the 4 of their papers we have counts for

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cs.CL2019★ 1 cited

Acoustically Grounded Word Embeddings for Improved Acoustics-to-Word Speech Recognition

Shane Settle, Kartik Audhkhasi, Karen Livescu +1

Direct acoustics-to-word (A2W) systems for end-to-end automatic speech recognition are simpler to train, and more efficient to decode with, than sub-word systems. However, A2W syst…