├── README.md ├── librilight ├── README.md ├── cmd.sh ├── conf │ ├── decode.config │ ├── fbank.conf │ ├── gpu.conf │ ├── mfcc.conf │ ├── mfcc_hires.conf │ ├── online_cmvn.conf │ ├── online_pitch.conf │ ├── queue_no_k20.conf │ └── spec.conf ├── decode_nnet_pytorch.sh ├── local │ ├── data_prep.sh │ ├── download_and_untar.sh │ ├── download_lm.sh │ ├── format_lms.sh │ ├── prepare_dict.sh │ ├── prepare_librilight.sh │ ├── prepare_librilight_dataset.sh │ ├── prepare_test.sh │ ├── prepare_unlabeled_tgt.py │ ├── score.sh │ ├── subset_dataset.sh │ └── train_async_parallel2.sh ├── path.sh ├── run.sh ├── steps ├── train_nnet_pytorch.sh └── utils ├── librispeech ├── README ├── cmd.sh ├── conf │ ├── decode.config │ ├── fbank.conf │ ├── gpu.conf │ ├── mfcc.conf │ ├── mfcc_hires.conf │ ├── online_cmvn.conf │ ├── online_pitch.conf │ ├── queue_no_k20.conf │ └── spec.conf ├── decode.sh ├── local │ ├── data_prep.sh │ ├── download_lm.sh │ ├── format_lms.sh │ ├── prepare_dict.sh │ ├── prepare_test.sh │ ├── score.sh │ └── subset_dataset.sh ├── path.sh ├── run-blstm.sh ├── run-wrn.sh ├── run.sh ├── steps └── utils ├── librispeech100 ├── cmd.sh ├── conf │ ├── decode.config │ ├── fbank.conf │ ├── gpu.conf │ ├── mfcc.conf │ ├── mfcc_hires.conf │ ├── online_cmvn.conf │ ├── online_pitch.conf │ ├── queue_no_k20.conf │ └── spec.conf ├── decode.sh ├── decorrupt.sh ├── generate.sh ├── local │ ├── data_prep.sh │ ├── decode_nnet_pytorch.sh │ ├── download_and_untar.sh │ ├── download_lm.sh │ ├── format_lms.sh │ ├── prepare_dict.sh │ ├── prepare_librilight.sh │ ├── prepare_librilight_dataset.sh │ ├── prepare_test.sh │ ├── prepare_unlabeled_tgt.py │ ├── score.sh │ ├── split_memmap_data.sh │ ├── subset_dataset.sh │ └── train_async_parallel.sh ├── path.sh ├── run-semisup-wrn-scratch.sh ├── run-semisup-wrn.sh ├── run-tdnn.sh ├── run-wrn.sh ├── run.sh ├── steps └── utils ├── nnet_pytorch ├── INSTALL_PYCHAIN ├── IterationTypes.py ├── LRScheduler.py ├── __init__.py ├── batch_generators.py ├── data_utils.py ├── datasets │ ├── HybridASR.py │ ├── NnetPytorchDataset.py │ ├── __init__.py │ └── data_utils.py ├── decode.py ├── decorrupt.py ├── generate.py ├── generate_conditional_from_buffer.py ├── models │ ├── BLSTM.py │ ├── Resnet.py │ ├── TDNN.py │ ├── WideResnet.py │ └── __init__.py ├── objectives │ ├── AcceleratedSGLD.py │ ├── CrossEntropy.py │ ├── CrossEntropy_EBM.py │ ├── L2.py │ ├── LFMMI.py │ ├── LFMMIOnly.py │ ├── LFMMI_EBM.py │ ├── SGLD.py │ ├── SGLDAdam.py │ ├── SGLDSampler.py │ ├── SemisupLFMMI.py │ ├── __init__.py │ └── optimizer.py ├── train.py └── utils │ ├── average_models.py │ ├── combine_models.py │ ├── decode_nnet_pytorch.sh │ ├── memmap_data.py │ ├── prepare_unlabeled_tgt.py │ ├── show_decorruption.py │ ├── show_sampling.py │ ├── split_memmap_data.sh │ └── train_async_parallel.sh └── tools ├── Makefile ├── pychain_patch.diff └── requirements.txt /README.md: -------------------------------------------------------------------------------- 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