17 citations · 60 across the 28 of their papers we have counts for
Showing 2018Show all
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cs.CL2018★ 2 cited
Analyzing deep CNN-based utterance embeddings for acoustic model adaptation
Joanna Rownicka, Peter Bell, Steve Renals
We explore why deep convolutional neural networks (CNNs) with small two-dimensional kernels, primarily used for modeling spatial relations in images, are also effective in speech r…
cs.CL2018★ 7 cited
Few-shot learning with attention-based sequence-to-sequence models
Bertrand Higy, Peter Bell
End-to-end approaches have recently become popular as a means of simplifying the training and deployment of speech recognition systems. However, they often require large amounts of…
cs.CL2018
Learning to adapt: a meta-learning approach for speaker adaptation
Ondřej Klejch, Joachim Fainberg, Peter Bell
The performance of automatic speech recognition systems can be improved by adapting an acoustic model to compensate for the mismatch between training and testing conditions, for ex…