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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

speechbrain / speechbrain.github.io

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The SpeechBrain project aims to build a novel speech toolkit fully based on PyTorch. With SpeechBrain users can easily create speech processing systems, ranging from speech recognition (both HMM/DNN and end-to-end), speaker recognition, speech enhancement, speech separation, multi-microphone speech processing, and many others.

deep-learning neural-network speech speech-recognition neural-networks deeplearning speech-to-text speaker-recognition speaker-verification speech-processing speech-recognizer beamforming speech-analysis timit speechrecognition speech-api speech-separation librispeech speech-emotion-recognition speaker-identification
  • Updated Jul 14, 2020
  • CSS

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

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Official implementation of the S3PRL toolkit: self-supervised pre-training of Mockingjay, TERA, AALBERT, 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
  • Updated Jul 14, 2020
  • Python

HawkAaron / RNN-Transducer

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Open

MXNet with Version 1.1.0 doesn't contain the install files (/docs/install), Version 1.4.x doesn't work (Shape Error)

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thethiny
thethiny commented Jun 16, 2019

An error is thrown on version 1.4.x
`In file included from src/operator/contrib/rnnt_loss.cc:27:0:
src/operator/contrib/./rnnt_loss-inl.h: In member function 'virtual bool mxnet::op::RNNTLossProp::InferShape(std::vectormxnet::TShape, std::vectormxnet::TShape, std::vectormxnet::TShape*) const':
src/operator/contrib/./rnnt_loss-inl.h:230:20: error: no matching function for call to 'mxnet

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mravanelli / pytorch_MLP_for_ASR

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This code implements a basic MLP for speech recognition. The MLP is trained with pytorch, while feature extraction, alignments, and decoding are performed with Kaldi. The current implementation supports dropout and batch normalization. An example for phoneme recognition using the standard TIMIT dataset is provided.

python deep-neural-networks deep-learning cuda pytorch speech-recognition neural-networks feedforward-neural-network mlp kaldi asr timit multilayer-perceptron kaldi-asr
  • Updated Feb 10, 2018
  • Perl

zhaoyu611 / Automatic_Speech_Recognition_with_Multi_Models

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A Simple Automatic Speech Recognition (ASR) Model in Tensorflow, which only needs to focus on Deep Neural Network. It's easy to test popular cells (most are LSTM and its variants) and models (unidirectioanl RNN, bidirectional RNN, ResNet and so on). Moreover, you are welcome to play with self-defined cells or models.

deep-learning tensorflow lstm rnn automatic-speech-recognition ctc timit acoustic-model
  • Updated Jan 18, 2018
  • Python

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