Nabu-asr
Class Hierarchy
This inheritance list is sorted roughly, but not completely, alphabetically:
[detail level
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C
alignment_history
C
nabu.neuralnetworks.components.beam_search_decoder.BeamSearchState
Class for the beam search state
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C
alignments
C
nabu.neuralnetworks.components.beam_search_decoder.BeamSearchDecoderFinalOutput
Class for the final output of the
BeamSearchDecoder
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C
BahdanauAttention
C
nabu.neuralnetworks.components.attention.BahdanauAttention
Normal Bahdanau Style attention
C
nabu.neuralnetworks.components.attention.LocationAwareAttention
Attention mechanism that is location aware
C
nabu.neuralnetworks.components.attention.WindowedAttention
Attention mechanism that is location aware
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C
cell_states
C
nabu.neuralnetworks.components.beam_search_decoder.BeamSearchState
Class for the beam search state
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C
Decoder
C
nabu.neuralnetworks.components.beam_search_decoder.BeamSearchDecoder
Beam search decode
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C
finished
C
nabu.neuralnetworks.components.beam_search_decoder.BeamSearchState
Class for the beam search state
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C
lengths
C
nabu.neuralnetworks.components.beam_search_decoder.BeamSearchDecoderFinalOutput
Class for the final output of the
BeamSearchDecoder
C
nabu.neuralnetworks.components.beam_search_decoder.BeamSearchState
Class for the beam search state
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C
logprobs
C
nabu.neuralnetworks.components.beam_search_decoder.BeamSearchState
Class for the beam search state
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C
namedtuple
C
nabu.neuralnetworks.components.beam_search_decoder.BeamSearchDecoderFinalOutput
Class for the final output of the
BeamSearchDecoder
C
nabu.neuralnetworks.components.beam_search_decoder.BeamSearchDecoderOutput
Class for the output of the
BeamSearchDecoder
C
nabu.neuralnetworks.components.beam_search_decoder.BeamSearchState
Class for the beam search state
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C
object
C
nabu.neuralnetworks.components.constraints.MaxNorm
Constraint for a maximum norm of the weights
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C
nabu.neuralnetworks.decoders.decoder.Decoder
Abstract class for a decode
C
nabu.neuralnetworks.decoders.alignment_decoder.AlignmentDecoder
Gets the HMM state posteriors
C
nabu.neuralnetworks.decoders.beam_search_decoder.BeamSearchDecoder
Beam search decode
C
nabu.neuralnetworks.decoders.ctc_decoder.CTCDecoder
CTC Decode
C
nabu.neuralnetworks.decoders.feature_decoder.FeatureDecoder
Feature Decode
C
nabu.neuralnetworks.decoders.max_decoder.MaxDecoder
Max Decoder takes the maximum probability at each timestep
C
nabu.neuralnetworks.decoders.random_decoder.RandomDecoder
Decoder that returns a random sample from the output distribution
C
nabu.neuralnetworks.decoders.threshold_decoder.ThresholdDecoder
CTC Decode
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C
nabu.neuralnetworks.evaluators.evaluator.Evaluator
General evaluator class
C
nabu.neuralnetworks.evaluators.decoder_evaluator.DecoderEvaluator
The Decoder Evaluator is used to evaluate a decode
C
nabu.neuralnetworks.evaluators.loss_evaluator.LossEvaluator
The Decoder Evaluator is used to evaluate a decode
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C
nabu.neuralnetworks.models.ed_decoders.ed_decoder.EDDecoder
General decoder for an encoder decoder system
C
nabu.neuralnetworks.models.ed_decoders.dnn_decoder.DNNDecoder
DNN decode
C
nabu.neuralnetworks.models.ed_decoders.hotstart_decoder.HotstartDecoder
Listener object
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C
nabu.neuralnetworks.models.ed_decoders.rnn_decoder.RNNDecoder
Speller decoder for the LAS architecture
C
nabu.neuralnetworks.models.ed_decoders.speller.Speller
Speller
decoder for the LAS architecture
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C
nabu.neuralnetworks.models.ed_encoders.ed_encoder.EDEncoder
General encoder for an encoder decoder system
C
nabu.neuralnetworks.models.ed_encoders.dblstm.DBLSTM
A deep bidirectional LSTM classifie
C
nabu.neuralnetworks.models.ed_encoders.dnn.DNN
DNN
encode
C
nabu.neuralnetworks.models.ed_encoders.dummy_encoder.DummyEncoder
Encoder that does nothing
C
nabu.neuralnetworks.models.ed_encoders.hotstart_encoder.HotstartEncoder
Listener object
C
nabu.neuralnetworks.models.ed_encoders.listener.Listener
Listener
object
C
nabu.neuralnetworks.models.model.Model
General class for an encoder decoder system
C
nabu.neuralnetworks.recognizer.Recognizer
Recognizer
can use a model to produce decode
C
nabu.neuralnetworks.trainers.trainer.ParameterServer
Class for parameter servers
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C
nabu.neuralnetworks.trainers.trainer.Trainer
General class outlining the training environment of a model
C
nabu.neuralnetworks.trainers.standard_trainer.StandardTrainer
Trainer with no added functionality
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C
nabu.processing.processors.feature_computers.feature_computer.FeatureComputer
A featurecomputer is used to compute features
C
nabu.processing.processors.feature_computers.fbank.Fbank
Feature computer class to compute fbank features
C
nabu.processing.processors.feature_computers.mfcc.Mfcc
Feature computer class to compute MFCC features
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C
nabu.processing.processors.processor.Processor
General
Processor
class for data processing
C
nabu.processing.processors.alignment_processor.AlignmentProcessor
Processor for kaldi alignments
C
nabu.processing.processors.audio_processor.AudioProcessor
Processor for audio files, this will compute features
C
nabu.processing.processors.binary_processor.BinaryProcessor
Processor for text data, does normalization
C
nabu.processing.processors.text_processor.TextProcessor
Processor for text data, does normalization
C
nabu.processing.processors.textfile_processor.TextFileProcessor
Processor for text data where the datalines are pointers to text files, does normalization
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C
nabu.processing.tfreaders.tfreader.TfReader
Class for reading tfrecord files and processing them
C
nabu.processing.tfreaders.alignment_reader.AlignmentReader
Reader for kaldi alignments
C
nabu.processing.tfreaders.audio_feature_reader.AudioFeatureReader
Reader for audio features
C
nabu.processing.tfreaders.binary_reader.BinaryReader
Reader for binary sequences
C
nabu.processing.tfreaders.string_reader.StringReader
Reader for reading and encoding text data
C
nabu.processing.tfreaders.string_reader_eos.StringReaderEOS
Reader for reading and encoding text data that adds a eos token at the end of every sequence
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C
nabu.processing.tfwriters.tfwriter.TfWriter
A class for writing the TF record files
C
nabu.processing.tfwriters.alignment_writer.AlignmentWriter
TfWriter to write kaldi alignments
C
nabu.processing.tfwriters.array_writer.ArrayWriter
TfWriter to write numpy arrays
C
nabu.processing.tfwriters.binary_writer.BinaryWriter
TfWriter to write strings
C
nabu.processing.tfwriters.string_writer.StringWriter
TfWriter to write strings
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C
parent_ids
C
nabu.neuralnetworks.components.beam_search_decoder.BeamSearchDecoderOutput
Class for the output of the
BeamSearchDecoder
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C
predicted_ids
C
nabu.neuralnetworks.components.beam_search_decoder.BeamSearchDecoderFinalOutput
Class for the final output of the
BeamSearchDecoder
C
nabu.neuralnetworks.components.beam_search_decoder.BeamSearchDecoderOutput
Class for the output of the
BeamSearchDecoder
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C
RNNCell
C
nabu.neuralnetworks.components.rnn_cell.AttentionProjectionWrapper
This wraps an RNN cell to take the context and state and maps it to a fixed diension
C
nabu.neuralnetworks.components.rnn_cell.BypassWrapper
This will concatenate the input with the output
C
nabu.neuralnetworks.components.rnn_cell.ScopeRNNCellWrapper
This wraps an RNN cell to make sure it uses the same scope every time it's called
C
nabu.neuralnetworks.components.rnn_cell.StateOutputWrapper
This wraps an RNN cell to make it output its concatenated state instead of the output
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C
scores
C
nabu.neuralnetworks.components.beam_search_decoder.BeamSearchDecoderFinalOutput
Class for the final output of the
BeamSearchDecoder
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C
SessionRunHook
C
nabu.neuralnetworks.components.hooks.LoadAtBegin
Training hook for saving the final variables
C
nabu.neuralnetworks.components.hooks.SaveAtEnd
Training hook for saving the final variables
C
nabu.neuralnetworks.components.hooks.StopHook
Hook that makes sure all replicas terminate when session ends
C
nabu.neuralnetworks.components.hooks.ValidationSaveHook
Training hook for saving and loading the validated model
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