activity
20182024
most citedDurIAN: Duration Informed Attention Network For Multimodal Synthesis

94 citations · 305 across the 37 of their papers we have counts for

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Showing 2021Show all

9 papers · 1 filter

cs.CL2021

Joint Modeling of Code-Switched and Monolingual ASR via Conditional Factorization

Brian Yan, Chunlei Zhang, Meng Yu +6

Conversational bilingual speech encompasses three types of utterances: two purely monolingual types and one intra-sententially code-switched type. In this work, we propose a genera…

eess.AS2021

Joint Neural AEC and Beamforming with Double-Talk Detection

Vinay Kothapally, Yong Xu, Meng Yu +2

Acoustic echo cancellation (AEC) in full-duplex communication systems eliminates acoustic feedback. However, nonlinear distortions induced by audio devices, background noise, rever…

cs.SD2021★ 3 cited

FAST-RIR: Fast neural diffuse room impulse response generator

Anton Ratnarajah, Shi-Xiong Zhang, Meng Yu +3

We present a neural-network-based fast diffuse room impulse response generator (FAST-RIR) for generating room impulse responses (RIRs) for a given acoustic environment. Our FAST-RI…

cs.SD2021★ 1 cited

MIMO Self-attentive RNN Beamformer for Multi-speaker Speech Separation

Xiyun Li, Yong Xu, Meng Yu +4

Recently, our proposed recurrent neural network (RNN) based all deep learning minimum variance distortionless response (ADL-MVDR) beamformer method yielded superior performance ove…

eess.AS2021★ 5 cited

MetricNet: Towards Improved Modeling For Non-Intrusive Speech Quality Assessment

Meng Yu, Chunlei Zhang, Yong Xu +2

The objective speech quality assessment is usually conducted by comparing received speech signal with its clean reference, while human beings are capable of evaluating the speech q…

eess.AS2021

Towards Robust Speaker Verification with Target Speaker Enhancement

Chunlei Zhang, Meng Yu, Chao Weng +1

This paper proposes the target speaker enhancement based speaker verification network (TASE-SVNet), an all neural model that couples target speaker enhancement and speaker embeddin…