File List

Here is a list of all documented files with brief descriptions:

alignment_decoder.py	AlignmentDecode
alignment_processor.py	Contains the TextProcesso
alignment_reader.py	AlignmentReader class
alignment_writer.py	AlignmentWriter class
array_writer.py	ArrayWriter class
attention.py	Contain attention mechanisms
audio_feature_reader.py	AudioFeatureReader class
audio_processor.py	AudioProcessor class
aurora4.py	Aurora4 target normalize method
binary_processor.py	Contains the BinaryProcesso
binary_reader.py	BinaryReader class
binary_writer.py	BinaryWriter class
build_cluster.py	This file will be ran for all machines to build the cluste
character.py	Character target normalize
cluster.py	Functionality for creating a cluste
constraints.py	Constraints for the model weights
create_resweep.py	Create a sweep file that contains the failed experiments
ctc_decoder.py	CTCDecode
data.py	Does the data preperation
dblstm.py	De DBLSTM class
decode.py	This file will use the model to decode a set of data
decoder.py	Neural network decoder environment
decoder_evaluator.py	DecoderEvaluator class
decoder_factory.py	Decoder factory
default_conf.py	Functionality for the default configuration
dnn.py	DNN class
ed_encoder.py	EDEncoder class
ed_encoder_factory.py	EDEncoder factory
evaluator.py	Evaluator class
evaluator_factory.py	Evaluator factory
fbank.py	Fbank feature compute
feature_computer.py	FeatureComputer class
feature_computer_factory.py	FeatureComputer factory
feature_decoder.py	MaxDecode
hooks.py	Session hooks
hotstart_decoder.py	HotstartDecode
hotstart_encoder.py	HotstartEncode
input_pipeline.py	Methotology for creating the input pipeline
kill_processes.py	Kill_processes method
layer.py	Neural network layers
listener.py	Listener code
loss_evaluator.py	LossEvaluator class
loss_functions.py	Functions to compute the training loss
max_decoder.py	MaxDecode
mfcc.py	Fbank feature compute
model.py	De Model class
normalizer_factory.py	Contains the normalizer factory
ops.py	Some operations
phones.py	Phones target normalize
processor.py	Processor class
processor_factory.py	Processor factory method
random_decoder.py	RandomDecode
recognizer.py	Recognizer class
rnn_cell.py	Some customized rnn cells
rnn_decoder.py	General recurrent decoder class
run_remote.py	Run_remote function
sigproc.py	Signal processing functionality
speller.py	Speller functionality
standard_trainer.py	StandardTraine
string_reader.py	StringReader class
string_reader_eos.py	StringReaderEOS class
string_writer.py	StringWriter class
test.py	This file will run the test script
test_recipe.py	Test if a recipe can build the graphs correctly
test_recipes.py	This function will test that all graphs in all recipe can actualy be built
text_processor.py	Contains the TextProcesso
textfile_processor.py	Contains the TextFileProcesso
tfreader.py	TfReader class
tfreader_factory.py	Tfreader factory
tfwriter.py	TfWriter class
threshold_decoder.py	ThresholdDecode
train.py	This file will do the training
trainer.py	Neural network trainer environment
trainer_factory.py	Trainer factory mehod