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CP-EB: Talking Face Generation with Controllable Pose and Eye Blinking Embedding
This paper proposes a talking face generation method named “CP-EB” that takes an audio signal as input and a person image as reference, …
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CP-EB: Talking Face Generation with Controllable Pose and Eye Blinking Embedding
DQR-TTS: Semi-supervised Text-to-speech Synthesis with Dynamic Quantized Representation
Most existing neural-based text-to-speech methods rely on extensive datasets and face challenges under low-resource condition. In this …
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DQR-TTS: Semi-supervised Text-to-speech Synthesis with Dynamic Quantized Representation
PRCA: Fitting Black-Box Large Language Models for Retrieval Question Answering via Pluggable Reward-Driven Contextual Adapter
The Retrieval Question Answering (ReQA) task employs the retrieval-augmented framework, composed of a retriever and generator. The …
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PRCA: Fitting Black-Box Large Language Models for Retrieval Question Answering via Pluggable Reward-Driven Contextual Adapter
VoiceExtender: Short-utterance Text-independent Speaker Verification with Guided Diffusion Model
Speaker Verification (SV) performance gets worse as utterances get shorter. To this end, we propose a new architecture called …
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VoiceExtender: Short-utterance Text-independent Speaker Verification with Guided Diffusion Model
AOSR-Net: All-in-One Sandstorm Removal Network
Most existing sandstorm image enhancement methods are based on traditional theory and prior knowledge, which often limit their …
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AOSR-Net: All-in-One Sandstorm Removal Network
Contrastive Latent Space Reconstruction Learning for Audio-Text Retrieval
Cross-modal retrieval (CMR) has been widely applied in a wide range of applications, such as multimedia search engines, recommendation …
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Contrastive Latent Space Reconstruction Learning for Audio-Text Retrieval
FastGraphTTS: An Ultrafast Syntax-Aware Speech Synthesis Framework
This paper integrates graph-to-sequence into an end-to-end text-to-speech framework for syntax-aware modelling with syntactic …
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FastGraphTTS: An Ultrafast Syntax-Aware Speech Synthesis Framework
A Hierarchy-based Analysis Approach for Blended Learning: A Case Study with Chinese Students
Blended learning is generally defined as the combination of traditional face-to-face learning and online learning. This learning mode …
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An Empirical Study of Attention Networks for Semantic Segmentation
Semantic segmentation is a vital problem in computer vision. Recently, a common solution to semantic segmentation is the end-to-end …
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Research on the Impact of Executive Shareholding on New Investment in Enterprises Based on Multivariable Linear Regression Model
Based on principal-agent theory and optimal contract theory, companies use the method of increasing executives’ shareholding to …
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