activity
20142023
most citedEnd-to-End Complex-Valued Multidilated Convolutional Neural Network for Joint Acoustic Echo Cancellation and Noise Suppression

13 citations · 36 across the 9 of their papers we have counts for

collaborators

9 papers

cs.SD2023

ACA-Net: Towards Lightweight Speaker Verification using Asymmetric Cross Attention

Jia Qi Yip, Tuan Truong, Dianwen Ng +7

In this paper, we propose ACA-Net, a lightweight, global context-aware speaker embedding extractor for Speaker Verification (SV) that improves upon existing work by using Asymmetri…

cs.SD2023

D2Former: A Fully Complex Dual-Path Dual-Decoder Conformer Network using Joint Complex Masking and Complex Spectral Mapping for Monaural Speech Enhancement

Shengkui Zhao, Bin Ma

Monaural speech enhancement has been widely studied using real networks in the time-frequency (TF) domain. However, the input and the target are naturally complex-valued in the TF…

cs.SD2023★ 1 cited

MossFormer: Pushing the Performance Limit of Monaural Speech Separation using Gated Single-Head Transformer with Convolution-Augmented Joint Self-Attentions

Shengkui Zhao, Bin Ma

Transformer based models have provided significant performance improvements in monaural speech separation. However, there is still a performance gap compared to a recent proposed u…

cs.SD2022★ 1 cited

FRCRN: Boosting Feature Representation using Frequency Recurrence for Monaural Speech Enhancement

Shengkui Zhao, Bin Ma, Karn N. Watcharasupat +1

Convolutional recurrent networks (CRN) integrating a convolutional encoder-decoder (CED) structure and a recurrent structure have achieved promising performance for monaural speech…

eess.AS2021★ 13 cited

End-to-End Complex-Valued Multidilated Convolutional Neural Network for Joint Acoustic Echo Cancellation and Noise Suppression

Karn N. Watcharasupat, Thi Ngoc Tho Nguyen, Woon-Seng Gan +2

Echo and noise suppression is an integral part of a full-duplex communication system. Many recent acoustic echo cancellation (AEC) systems rely on a separate adaptive filtering mod…

cs.SD2021★ 1 cited

Towards Natural and Controllable Cross-Lingual Voice Conversion Based on Neural TTS Model and Phonetic Posteriorgram

Shengkui Zhao, Hao Wang, Trung Hieu Nguyen +1

Cross-lingual voice conversion (VC) is an important and challenging problem due to significant mismatches of the phonetic set and the speech prosody of different languages. In this…

cs.SD2021★ 4 cited

Monaural Speech Enhancement with Complex Convolutional Block Attention Module and Joint Time Frequency Losses

Shengkui Zhao, Trung Hieu Nguyen, Bin Ma

Deep complex U-Net structure and convolutional recurrent network (CRN) structure achieve state-of-the-art performance for monaural speech enhancement. Both deep complex U-Net and C…

cs.SD2020★ 3 cited

Towards Natural Bilingual and Code-Switched Speech Synthesis Based on Mix of Monolingual Recordings and Cross-Lingual Voice Conversion

Shengkui Zhao, Trung Hieu Nguyen, Hao Wang +1

Recent state-of-the-art neural text-to-speech (TTS) synthesis models have dramatically improved intelligibility and naturalness of generated speech from text. However, building a g…

cs.MM2014★ 13 cited

ITEM: Immersive Telepresence for Entertainment and Meetings - A Practical Approach

Viet-Anh Nguyen, Jiangbo Lu, Shengkui Zhao +4

This paper presents an Immersive Telepresence system for Entertainment and Meetings (ITEM). The system aims to provide a radically new video communication experience by seamlessly…