Robust Speech Recognition

7 papers with code • 0 benchmarks • 0 datasets

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Greatest papers with code

Multi-task self-supervised learning for Robust Speech Recognition

santi-pdp/pase 25 Jan 2020

We then propose a revised encoder that better learns short- and long-term speech dynamics with an efficient combination of recurrent and convolutional networks.

Robust Speech Recognition Self-Supervised Learning

Investigating Generative Adversarial Networks based Speech Dereverberation for Robust Speech Recognition

wangkenpu/rsrgan 27 Mar 2018

First, we study the effectiveness of different dereverberation networks (the generator in GAN) and find that LSTM leads a significant improvement as compared with feed-forward DNN and CNN in our dataset.

Robust Speech Recognition Speech Dereverberation

Scalable Factorized Hierarchical Variational Autoencoder Training

wnhsu/ScalableFHVAE 9 Apr 2018

Deep generative models have achieved great success in unsupervised learning with the ability to capture complex nonlinear relationships between latent generating factors and observations.

Hyperparameter Optimization Robust Speech Recognition +3

An Investigation of End-to-End Models for Robust Speech Recognition

archiki/Robust-E2E-ASR 11 Feb 2021

A systematic comparison of these two approaches for end-to-end robust ASR has not been attempted before.

Data Augmentation Multi-Task Learning +2

Domain Adaptation Using Class Similarity for Robust Speech Recognition

zhu-han/ASR-Adaption-Class-Similarity 5 Nov 2020

Then, for each class, probabilities of this class are used to compute a mean vector, which we refer to as mean soft labels.

Domain Adaptation Robust Speech Recognition

Very Deep Convolutional Neural Networks for Robust Speech Recognition

jayant766/MIDAS-IIITD 2 Oct 2016

On the Aurora 4 task, the very deep CNN achieves a WER of 8. 81%, further 7. 99% with auxiliary feature joint training, and 7. 09% with LSTM-RNN joint decoding.

Robust Speech Recognition