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timit-dataset
Here are 11 public repositories matching this topic...
Speech synthesis, voice conversion, self-supervised learning, music generation,Automatic Speech Recognition, Speaker Verification, Speech Synthesis, Language Modeling
roadmap
cnn
dnn
tts
rnn
seq2seq
automatic-speech-recognition
papers
language-model
attention-mechanism
speaker-verification
timit-dataset
acoustic-model
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Jul 3, 2020
End-to-End speech recognition implementation base on TensorFlow (CTC, Attention, and MTL training)
tensorflow
end-to-end
speech-recognition
beam-search
automatic-speech-recognition
speech-to-text
attention-mechanism
asr
timit-dataset
ctc
timit
end-to-end-learning
csj
librispeech
joint-ctc-attention
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Jan 23, 2018 - Python
The DARPA TIMIT Acoustic-Phonetic Continuous Speech Corpus
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Jul 3, 2019
Python implementation of pre-processing for End-to-End speech recognition
end-to-end
dataset
speech-recognition
automatic-speech-recognition
preprocessing
transcription
attention-mechanism
timit-dataset
ctc
switchboard
timit
csj
librispeech
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Updated
Feb 19, 2018 - Python
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
audio
deep-learning
tensorflow
end-to-end
cnn
lstm
speech-recognition
rnn
feature-vector
data-processing
phonemes
timit-dataset
layer-normalization
rnn-encoder-decoder
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Mar 29, 2018 - Python
Extract mfcc vectors and phones from TIMIT dataset
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Mar 20, 2018 - Shell
Build speech enhancement dataset.
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May 17, 2019 - Python
Keyword spotting using RNNs + Edit distance
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May 31, 2020 - Python
End-to-end ASR system on TIMIT
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Jul 7, 2020 - Python
Sum-Product Networks (SPNs) for Robust Automatic Speaker Recognition.
missing-data
speaker-recognition
speaker-verification
timit-dataset
robustness
timit
sum-product-networks
speaker-identification
deep-xi
spn-speaker-model
robust-speaker-recognition
ideal-binary-mask
robust-speaker-identification
robust-speaker-verification
missing-feature-theory
marginalisation
marginalization
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Oct 8, 2019 - Python
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when i run the example which using timit to build a lstm+ctc system,i meet a mistake,the error as follows：
can you give a suggest how to deal with it,thank very much.