3 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.SD2019★ 1 cited
Utterance-level Permutation Invariant Training with Latency-controlled BLSTM for Single-channel Multi-talker Speech Separation
Lu Huang, Gaofeng Cheng, Pengyuan Zhang +3
Utterance-level permutation invariant training (uPIT) has achieved promising progress on single-channel multi-talker speech separation task. Long short-term memory (LSTM) and bidir…
cs.CL2017★ 3 cited
An Improved Residual LSTM Architecture for Acoustic Modeling
Lu Huang, Jiasong Sun, Ji Xu +1
Long Short-Term Memory (LSTM) is the primary recurrent neural networks architecture for acoustic modeling in automatic speech recognition systems. Residual learning is an efficient…