activity
20162023
most citedEnhanced LSTM for Natural Language Inference

1.2k citations · 1.8k across the 34 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

cs.CL2022★ 10 cited

Enhancing Multi-modal and Multi-hop Question Answering via Structured Knowledge and Unified Retrieval-Generation

Qian Yang, Qian Chen, Wen Wang +2

Multi-modal multi-hop question answering involves answering a question by reasoning over multiple input sources from different modalities. Existing methods often retrieve evidences…

eess.AS2022

DopplerBAS: Binaural Audio Synthesis Addressing Doppler Effect

Jinglin Liu, Zhenhui Ye, Qian Chen +4

Recently, binaural audio synthesis (BAS) has emerged as a promising research field for its applications in augmented and virtual realities. Binaural audio helps users orient themse…

eess.AS2022

Pushing the limits of self-supervised speaker verification using regularized distillation framework

Yafeng Chen, Siqi Zheng, Hui Wang +2

Training robust speaker verification systems without speaker labels has long been a challenging task. Previous studies observed a large performance gap between self-supervised and…

cs.SD2022

PRISM: Pre-trained Indeterminate Speaker Representation Model for Speaker Diarization and Speaker Verification

Siqi Zheng, Hongbin Suo, Qian Chen

Speaker embedding has been a fundamental feature for speaker-related tasks such as verification, clustering, and diarization. Traditionally, speaker embeddings are represented as f…

cs.CL2022★ 2 cited

DePA: Improving Non-autoregressive Machine Translation with Dependency-Aware Decoder

Jiaao Zhan, Qian Chen, Boxing Chen +3

Non-autoregressive machine translation (NAT) models have lower translation quality than autoregressive translation (AT) models because NAT decoders do not depend on previous target…

eess.AS2022

ProsoSpeech: Enhancing Prosody With Quantized Vector Pre-training in Text-to-Speech

Yi Ren, Ming Lei, Zhiying Huang +4

Expressive text-to-speech (TTS) has become a hot research topic recently, mainly focusing on modeling prosody in speech. Prosody modeling has several challenges: 1) the extracted p…