1

Stock Volatility Prediction Based on Transformer Model Using Mixed-Frequency Data
With the increasing volume of high-frequency data in the information age, both challenges and opportunities arise in the prediction of …
Cite arXiv Springer
EdgeMA: Model Adaptation System for Real-Time Video Analytics on Edge Devices
Real-time video analytics on edge devices for changing scenes remains a difficult task. As edge devices are usually …
Cite arXiv
EdgeMA: Model Adaptation System for Real-Time Video Analytics on Edge Devices
Machine Unlearning Methodology base on Stochastic Teacher Network
The rise of the phenomenon of the “right to be forgotten” has prompted research on machine unlearning, which grants data …
Cite arXiv Springer
Machine Unlearning Methodology base on Stochastic Teacher Network
Symbolic and Acoustic: Multi-domain Music Emotion Modeling for Instrumental Music
Music Emotion Recognition involves the automatic identification of emotional elements within music tracks, and it has garnered …
Cite arXiv Springer
Symbolic and Acoustic: Multi-domain Music Emotion Modeling for Instrumental Music
Voice Conversion with Denoising Diffusion Probabilistic GAN Models
Voice conversion is a method that allows for the transformation of speaking style while maintaining the integrity of linguistic …
Cite arXiv Springer
Voice Conversion with Denoising Diffusion Probabilistic GAN Models
Boosting Chinese ASR Error Correction with Dynamic Error Scaling Mechanism
Chinese Automatic Speech Recognition (ASR) error correction presents significant challenges due to the Chinese language’s unique …
PDF Cite arXiv ISCA
Boosting Chinese ASR Error Correction with Dynamic Error Scaling Mechanism
EmoMix: Emotion Mixing via Diffusion Models for Emotional Speech Synthesis
There has been significant progress in emotional Text-To-Speech (TTS) synthesis technology in recent years. However, existing methods …
PDF Cite arXiv ISCA DEMO
EmoMix: Emotion Mixing via Diffusion Models for Emotional Speech Synthesis
Investigation of Music Emotion Recognition Based on Segmented Semi-Supervised Learning
The production and annotation of music datasets requires very specialized background knowledge, which is difficult for most people to …
PDF Cite ISCA
Investigation of Music Emotion Recognition Based on Segmented Semi-Supervised Learning
Prompt Guided Copy Mechanism for Conversational Question Answering
Conversational Question Answering (CQA) is a challenging task that aims to generate natural answers for conversational flow questions. …
PDF Cite arXiv ISCA
Prompt Guided Copy Mechanism for Conversational Question Answering
SVVAD: Personal Voice Activity Detection for Speaker Verification
Voice activity detection (VAD) improves the performance of speaker verification (SV) by preserving speech segments and attenuating the …
PDF Cite Slides arXiv ISCA
SVVAD: Personal Voice Activity Detection for Speaker Verification