2020
Dynamic Temporal Residual Learning for Speech Recognition
ICASSP 2020accepted
Long short-term memory (LSTM) networks have been widely used in automatic speech recognition (ASR). This paper proposes a novel dynamic temporal residual learning mechanism for LSTM networks to better explore temporal dependencies in sequential data. The temporal residual learning mechanism is imple…