Rnn Speech Denoising

Recurrent neural network training for noise reduction in robust automatic speech recognition
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Project NameStarsDownloadsRepos Using ThisPackages Using ThisMost Recent CommitTotal ReleasesLatest ReleaseOpen IssuesLicenseLanguage
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End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
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pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.
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Neural_sp466
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End-to-end ASR/LM implementation with PyTorch
Ctcwordbeamsearch453
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Connectionist Temporal Classification (CTC) decoder with dictionary and language model.
Rnn_ctc216
8 years ago1apache-2.0Python
Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.
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Deep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.
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