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20202024
most citedApplying Wav2vec2.0 to Speech Recognition in Various Low-resource Languages

58 citations · 150 across the 81 of their papers we have counts for

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Showing 2023Show all

23 papers · 1 filter

cs.CV2023

CP-EB: Talking Face Generation with Controllable Pose and Eye Blinking Embedding

Jianzong Wang, Yimin Deng, Ziqi Liang +3

This paper proposes a talking face generation method named "CP-EB" that takes an audio signal as input and a person image as reference, to synthesize a photo-realistic people talki…

cs.SD2023

CLN-VC: Text-Free Voice Conversion Based on Fine-Grained Style Control and Contrastive Learning with Negative Samples Augmentation

Yimin Deng, Xulong Zhang, Jianzong Wang +2

Better disentanglement of speech representation is essential to improve the quality of voice conversion. Recently contrastive learning is applied to voice conversion successfully b…

cs.SD2023

DQR-TTS: Semi-supervised Text-to-speech Synthesis with Dynamic Quantized Representation

Jianzong Wang, Pengcheng Li, Xulong Zhang +2

Most existing neural-based text-to-speech methods rely on extensive datasets and face challenges under low-resource condition. In this paper, we introduce a novel semi-supervised t…

cs.CL2023★ 1 cited

PRCA: Fitting Black-Box Large Language Models for Retrieval Question Answering via Pluggable Reward-Driven Contextual Adapter

Haoyan Yang, Zhitao Li, Yong Zhang +4

The Retrieval Question Answering (ReQA) task employs the retrieval-augmented framework, composed of a retriever and generator. The generator formulates the answer based on the docu…

cs.SD2023

Contrastive Latent Space Reconstruction Learning for Audio-Text Retrieval

Kaiyi Luo, Xulong Zhang, Jianzong Wang +3

Cross-modal retrieval (CMR) has been extensively applied in various domains, such as multimedia search engines and recommendation systems. Most existing CMR methods focus on image-…

cs.CV2023

AOSR-Net: All-in-One Sandstorm Removal Network

Yazhong Si, Xulong Zhang, Fan Yang +3

Most existing sandstorm image enhancement methods are based on traditional theory and prior knowledge, which often restrict their applicability in real-world scenarios. In addition…