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09/21/2023
FluentEditor: Text-based Speech Editing by Considering Acoustic and Prosody Consistency
Text-based speech editing (TSE) techniques are designed to enable users ...
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09/21/2023
Emotion-Aware Prosodic Phrasing for Expressive Text-to-Speech
Prosodic phrasing is crucial to the naturalness and intelligibility of e...
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08/17/2023
Explainable AI for tool wear prediction in turning
This research aims develop an Explainable Artificial Intelligence (XAI) ...
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08/14/2023
Aggregating Intrinsic Information to Enhance BCI Performance through Federated Learning
Insufficient data is a long-standing challenge for Brain-Computer Interf...
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08/09/2023
Bird's-Eye-View Scene Graph for Vision-Language Navigation
Vision-language navigation (VLN), which entails an agent to navigate 3D ...
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06/15/2023
Understanding the Application of Utility Theory in Robotics and Artificial Intelligence: A Survey
As a unifying concept in economics, game theory, and operations research...
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05/27/2023
Modeling Dynamic Heterogeneous Graph and Node Importance for Future Citation Prediction
Accurate citation count prediction of newly published papers could help ...
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05/25/2023
Betray Oneself: A Novel Audio DeepFake Detection Model via Mono-to-Stereo Conversion
Audio Deepfake Detection (ADD) aims to detect the fake audio generated b...
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05/14/2023
Lightweight privacy-preserving truth discovery for vehicular air quality monitoring
Air pollution has become a global concern for many years. Vehicular crow...
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04/17/2023
PerCoNet: News Recommendation with Explicit Persona and Contrastive Learning
Personalized news recommender systems help users quickly find content of...
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03/10/2023
Neural Partial Differential Equations with Functional Convolution
We present a lightweighted neural PDE representation to discover the hid...
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03/04/2023
Data-Driven Distributionally Robust Optimal Control with State-Dependent Noise
This paper introduces innovative data-driven techniques for estimating t...
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02/27/2023
Towards Interpretable Federated Learning
Federated learning (FL) enables multiple data owners to build machine le...
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12/27/2022
TegFormer: Topic-to-Essay Generation with Good Topic Coverage and High Text Coherence
Creating an essay based on a few given topics is a challenging NLP task....
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11/13/2022
Quantifying syntax similarity with a polynomial representation of dependency trees
We introduce a graph polynomial that distinguishes tree structures to re...
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10/28/2022
Coverage-centric Coreset Selection for High Pruning Rates
One-shot coreset selection aims to select a subset of the training data,...
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10/27/2022
Explicit Intensity Control for Accented Text-to-speech
Accented text-to-speech (TTS) synthesis seeks to generate speech with an...
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10/27/2022
FCTalker: Fine and Coarse Grained Context Modeling for Expressive Conversational Speech Synthesis
Conversational Text-to-Speech (TTS) aims to synthesis an utterance with ...
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10/27/2022
Exploiting modality-invariant feature for robust multimodal emotion recognition with missing modalities
Multimodal emotion recognition leverages complementary information acros...
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09/24/2022
A Deep Investigation of RNN and Self-attention for the Cyrillic-Traditional Mongolian Bidirectional Conversion
Cyrillic and Traditional Mongolian are the two main members of the Mongo...
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09/22/2022
MnTTS: An Open-Source Mongolian Text-to-Speech Synthesis Dataset and Accompanied Baseline
This paper introduces a high-quality open-source text-to-speech (TTS) sy...
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09/22/2022
A Spatial-channel-temporal-fused Attention for Spiking Neural Networks
Spiking neural networks (SNNs) mimic brain computational strategies, and...
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09/22/2022
Controllable Accented Text-to-Speech Synthesis
Accented text-to-speech (TTS) synthesis seeks to generate speech with an...
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08/04/2022
Aiming in Harsh Environments: A New Framework for Flexible and Adaptive Resource Management
The harsh environment imposes a unique set of challenges on networking s...
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07/16/2022
Generalizable Memory-driven Transformer for Multivariate Long Sequence Time-series Forecasting
Multivariate long sequence time-series forecasting (M-LSTF) is a practic...
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06/15/2022
Accurate Emotion Strength Assessment for Seen and Unseen Speech Based on Data-Driven Deep Learning
Emotion classification of speech and assessment of the emotion strength ...
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05/28/2022
Gating Dropout: Communication-efficient Regularization for Sparsely Activated Transformers
Sparsely activated transformers, such as Mixture of Experts (MoE), have ...
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05/25/2022
NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results
This paper reviews the challenge on constrained high dynamic range (HDR)...
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05/19/2022
Transformer with Memory Replay
Transformers achieve state-of-the-art performance for natural language p...
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05/09/2022
HierAttn: Effectively Learn Representations from Stage Attention and Branch Attention for Skin Lesions Diagnosis
Accurate and unbiased examinations of skin lesions are critical for earl...
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05/02/2022
Neutral Utterances are Also Causes: Enhancing Conversational Causal Emotion Entailment with Social Commonsense Knowledge
Conversational Causal Emotion Entailment aims to detect causal utterance...
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03/11/2022
Peng Cheng Object Detection Benchmark for Smart City
Object detection is an algorithm that recognizes and locates the objects...
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02/28/2022
CTformer: Convolution-free Token2Token Dilated Vision Transformer for Low-dose CT Denoising
Low-dose computed tomography (LDCT) denoising is an important problem in...
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02/24/2022
Collective Conditioned Reflex: A Bio-Inspired Fast Emergency Reaction Mechanism for Designing Safe Multi-Robot Systems
A multi-robot system (MRS) is a group of coordinated robots designed to ...
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02/15/2022
Federated Graph Neural Networks: Overview, Techniques and Challenges
With its powerful capability to deal with graph data widely found in pra...
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01/08/2022
Smart Power Supply for UAV Agility Enhancement Using Deep Neural Networks
Recently unmanned aerial vehicles (UAV) have been widely deployed in var...
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12/16/2021
Frequency Spectrum Augmentation Consistency for Domain Adaptive Object Detection
Domain adaptive object detection (DAOD) aims to improve the generalizati...
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12/06/2021
PP-MSVSR: Multi-Stage Video Super-Resolution
Different from the Single Image Super-Resolution(SISR) task, the key for...
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10/25/2021
SSMF: Shifting Seasonal Matrix Factorization
Given taxi-ride counts information between departure and destination loc...
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10/07/2021
VisualTTS: TTS with Accurate Lip-Speech Synchronization for Automatic Voice Over
In this paper, we formulate a novel task to synthesize speech in sync wi...
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10/07/2021
StrengthNet: Deep Learning-based Emotion Strength Assessment for Emotional Speech Synthesis
Recently, emotional speech synthesis has achieved remarkable performance...
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10/04/2021
Decoupling Speaker-Independent Emotions for Voice Conversion Via Source-Filter Networks
Emotional voice conversion (VC) aims to convert a neutral voice to an em...
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09/07/2021
FuseFormer: Fusing Fine-Grained Information in Transformers for Video Inpainting
Transformer, as a strong and flexible architecture for modelling long-ra...
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08/15/2021
Vector-Decomposed Disentanglement for Domain-Invariant Object Detection
To improve the generalization of detectors, for domain adaptive object d...
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07/31/2021
Using Query Expansion in Manifold Ranking for Query-Oriented Multi-Document Summarization
Manifold ranking has been successfully applied in query-oriented multi-d...
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07/03/2021
Spatiotemporal convolutional network for time-series prediction and causal inference
Making predictions in a robust way is not easy for nonlinear systems. In...
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05/31/2021
Emotional Voice Conversion: Theory, Databases and ESD
In this paper, we first provide a review of the state-of-the-art emotion...
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04/16/2021
Distributed TD(0) with Almost No Communication
We provide a new non-asymptotic analysis of distributed TD(0) with linea...
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04/14/2021
Decoupled Spatial-Temporal Transformer for Video Inpainting
Video inpainting aims to fill the given spatiotemporal holes with realis...
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04/07/2021