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pytorch-kaldi

mravanelli / pytorch-kaldi

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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.

deep-neural-networks deep-learning speech dnn pytorch recurrent-neural-networks lstm gru speech-recognition rnn kaldi rnn-model asr lstm-neural-networks multilayer-perceptron-network timit dnn-hmm
  • Updated Jun 11, 2020
  • Python

bbc / react-transcript-editor

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Self-Supervised-Speech-Pretraining-and-Representation-Learning

andi611 / Self-Supervised-Speech-Pretraining-and-Representation-Learning

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Official implementation of the S3PRL toolkit: self-supervised pre-training and representation learning of Mockingjay, TERA, A-ALBERT, APC, and more to come. With easy-to-use standard downstream evaluation scripts including phone classification, speaker recognition, and ASR. (All in Pytorch!)

pytorch speech-recognition kaldi representation-learning tera speaker-recognition albert bert asr apc timit mockingjay librispeech self-supervised-learning speech-representation phone-classification speech-pretraining pytorch-kaldi aalbert upstream-models
  • Updated Sep 17, 2020
  • Python

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