Robust Speech Recognition

20 papers with code • 0 benchmarks • 3 datasets

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Most implemented papers

Robust Speech Recognition via Large-Scale Weak Supervision

openai/whisper Preprint 2022

We study the capabilities of speech processing systems trained simply to predict large amounts of transcripts of audio on the internet.

Very Deep Convolutional Neural Networks for Robust Speech Recognition

Anustup900/Tensorflow-Speech-Recognition 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.

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.

Interactive Feature Fusion for End-to-End Noise-Robust Speech Recognition

yuchen005/dpsl-asr 11 Oct 2021

Speech enhancement (SE) aims to suppress the additive noise from a noisy speech signal to improve the speech's perceptual quality and intelligibility.

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.

Unsupervised Speech Domain Adaptation Based on Disentangled Representation Learning for Robust Speech Recognition

vivivic/speech-domain-adaptation-DRL 12 Apr 2019

The latent variables allow us to convert the domain of speech according to its context and domain representation.

Learning Waveform-Based Acoustic Models using Deep Variational Convolutional Neural Networks

doglic/asr 23 Jun 2019

We investigate the potential of stochastic neural networks for learning effective waveform-based acoustic models.

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.

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.

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.