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Comparing CTC and LFMMI for out-of-domain adaptation of wav2vec 2.0 acoustic model
In this work, we investigate if the wav2vec 2.0 self-supervised pretrain...
04/06/2021 ∙ by Apoorv Vyas, et al. ∙
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Lattice-Free MMI Adaptation Of Self-Supervised Pretrained Acoustic Models
In this work, we propose lattice-free MMI (LFMMI) for supervised adaptat...
12/28/2020 ∙ by Apoorv Vyas, et al. ∙
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Pkwrap: a PyTorch Package for LF-MMI Training of Acoustic Models
We present a simple wrapper that is useful to train acoustic models in P...
10/07/2020 ∙ by Srikanth Madikeri, et al. ∙
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Fast Transformers with Clustered Attention
Transformers have been proven a successful model for a variety of tasks ...
07/09/2020 ∙ by Apoorv Vyas, et al. ∙
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Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention
Transformers achieve remarkable performance in several tasks but due to ...
06/29/2020 ∙ by Angelos Katharopoulos, et al. ∙
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Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers
As deep learning methods form a critical part in commercially important ...
09/04/2018 ∙ by Apoorv Vyas, et al. ∙
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