2 citations · 2 across the 1 of their papers we have counts for
2 papers
cs.CL2019★ 2 cited
State-of-the-Art Speech Recognition Using Multi-Stream Self-Attention With Dilated 1D Convolutions
Kyu J. Han, Ramon Prieto, Kaixing Wu +1
Self-attention has been a huge success for many downstream tasks in NLP, which led to exploration of applying self-attention to speech problems as well. The efficacy of self-attent…
cs.CL2018
Attention-based sequence-to-sequence model for speech recognition: development of state-of-the-art system on LibriSpeech and its application to non-native English
Yan Yin, Ramon Prieto, Bin Wang +4
Recent research has shown that attention-based sequence-to-sequence models such as Listen, Attend, and Spell (LAS) yield comparable results to state-of-the-art ASR systems on vario…