2 citations · 2 across the 4 of their papers we have counts for
4 papers
Improving noisy student training for low-resource languages in End-to-End ASR using CycleGAN and inter-domain losses
Chia-Yu Li, Ngoc Thang Vu
Training a semi-supervised end-to-end speech recognition system using noisy student training has significantly improved performance. However, this approach requires a substantial a…
Improving Semi-supervised End-to-end Automatic Speech Recognition using CycleGAN and Inter-domain Losses
Chia-Yu Li, Ngoc Thang Vu
We propose a novel method that combines CycleGAN and inter-domain losses for semi-supervised end-to-end automatic speech recognition. Inter-domain loss targets the extraction of an…
Investigation of Densely Connected Convolutional Networks with Domain Adversarial Learning for Noise Robust Speech Recognition
Chia Yu Li, Ngoc Thang Vu
We investigate densely connected convolutional networks (DenseNets) and their extension with domain adversarial training for noise robust speech recognition. DenseNets are very dee…
Investigations on Speech Recognition Systems for Low-Resource Dialectal Arabic-English Code-Switching Speech
Injy Hamed, Pavel Denisov, Chia-Yu Li +3
Code-switching (CS), defined as the mixing of languages in conversations, has become a worldwide phenomenon. The prevalence of CS has been recently met with a growing demand and in…