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08/28/2022
Bayesian Neural Network Language Modeling for Speech Recognition
State-of-the-art neural network language models (NNLMs) represented by l...
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06/23/2022
Towards Green ASR: Lossless 4-bit Quantization of a Hybrid TDNN System on the 300-hr Switchboard Corpus
State of the art time automatic speech recognition (ASR) systems are bec...
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11/29/2021
Mixed Precision Low-bit Quantization of Neural Network Language Models for Speech Recognition
State-of-the-art language models (LMs) represented by long-short term me...
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11/29/2021
Mixed Precision DNN Qunatization for Overlapped Speech Separation and Recognition
Recognition of overlapped speech has been a highly challenging task to d...
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11/29/2021
Mixed Precision of Quantization of Transformer Language Models for Speech Recognition
State-of-the-art neural language models represented by Transformers are ...
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11/29/2021
Low-bit Quantization of Recurrent Neural Network Language Models Using Alternating Direction Methods of Multipliers
The high memory consumption and computational costs of Recurrent neural ...
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02/09/2021
