mravanelli / pytorch_MLP_for_ASRView external linksLinks
This code implements a basic MLP for speech recognition. The MLP is trained with pytorch, while feature extraction, alignments, and decoding are performed with Kaldi. The current implementation supports dropout and batch normalization. An example for phoneme recognition using the standard TIMIT dataset is provided.
☆40Feb 10, 2018Updated 8 years ago
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