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eess.AS2024
Dynamic Encoder Size Based on Data-Driven Layer-wise Pruning for Speech Recognition
Jingjing Xu, Wei Zhou, Zijian Yang +2
Varying-size models are often required to deploy ASR systems under different hardware and/or application constraints such as memory and latency. To avoid redundant training and opt…
eess.AS2019★ 20 cited
LSTM Language Models for LVCSR in First-Pass Decoding and Lattice-Rescoring
Eugen Beck, Wei Zhou, Ralf Schlüter +1
LSTM based language models are an important part of modern LVCSR systems as they significantly improve performance over traditional backoff language models. Incorporating them effi…