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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

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

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Questions about preprocessing custom dataset

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SenYan1999
SenYan1999 commented Aug 18, 2020

I am a newcomer to the audio field. I have some questions when use this project to generate the audio embedding for my multimodality model (text and audio)

I want to use Mockingjay, and run `python preprocess_any.py --feature_type=mel' but get 80 dim features, I just simply change num_mel in utility/audio.py from 80 to 160(I see this model need 160dim mel features in README), is it right?

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