most citedNeural Speech Recognizer: Acoustic-to-Word LSTM Model for Large Vocabulary Speech Recognition

57 citations · 57 across the 2 of their papers we have counts for

collaborators

2 papers

eess.AS2023

Towards Word-Level End-to-End Neural Speaker Diarization with Auxiliary Network

Yiling Huang, Weiran Wang, Guanlong Zhao +3

While standard speaker diarization attempts to answer the question "who spoken when", most of relevant applications in reality are more interested in determining "who spoken what".…

cs.CL2016★ 57 cited

Neural Speech Recognizer: Acoustic-to-Word LSTM Model for Large Vocabulary Speech Recognition

Hagen Soltau, Hank Liao, Hasim Sak

We present results that show it is possible to build a competitive, greatly simplified, large vocabulary continuous speech recognition system with whole words as acoustic units. We…