Streaming Transformer-based Acoustic Models Using Self-attention with Augmented Memory

16 May 2020Chunyang WuYongqiang WangYangyang ShiChing-Feng YehFrank Zhang

Transformer-based acoustic modeling has achieved great suc-cess for both hybrid and sequence-to-sequence speech recogni-tion. However, it requires access to the full sequence, and thecomputational cost grows quadratically with respect to the in-put sequence length... (read more)

PDF Abstract


No code implementations yet. Submit your code now


Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper