Search Results for author: Dung Tran

Found 5 papers, 0 papers with code

Corrupting Data to Remove Deceptive Perturbation: Using Preprocessing Method to Improve System Robustness

no code implementations5 Jan 2022 Hieu Le, Hans Walker, Dung Tran, Peter Chin

Although deep neural networks have achieved great performance on classification tasks, recent studies showed that well trained networks can be fooled by adding subtle noises.

Denoising

Training Robust Zero-Shot Voice Conversion Models with Self-supervised Features

no code implementations8 Dec 2021 Trung Dang, Dung Tran, Peter Chin, Kazuhito Koishida

Unsupervised Zero-Shot Voice Conversion (VC) aims to modify the speaker characteristic of an utterance to match an unseen target speaker without relying on parallel training data.

Self-Supervised Learning Voice Conversion

An Investigation of End-to-End Multichannel Speech Recognition for Reverberant and Mismatch Conditions

no code implementations19 Apr 2019 Aswin Shanmugam Subramanian, Xiaofei Wang, Shinji Watanabe, Toru Taniguchi, Dung Tran, Yuya Fujita

This report investigates the ability of E2E ASR from standard close-talk to far-field applications by encompassing entire multichannel speech enhancement and ASR components within the S2S model.

Denoising Noisy Speech Recognition +1

Speaker Selective Beamformer with Keyword Mask Estimation

no code implementations25 Oct 2018 Yusuke Kida, Dung Tran, Motoi Omachi, Toru Taniguchi, Yuya Fujita

The proposed method firstly utilizes a DNN-based mask estimator to separate the mixture signal into the keyword signal uttered by the target speaker and the remaining background speech.

Speech Recognition

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