activity
20182023
most citedComplementary Fusion of Multi-Features and Multi-Modalities in Sentiment Analysis

54 citations · 167 across the 11 of their papers we have counts for

collaborators

11 papers

eess.AS2023★ 19 cited

TextrolSpeech: A Text Style Control Speech Corpus With Codec Language Text-to-Speech Models

Shengpeng Ji, Jialong Zuo, Minghui Fang +5

Recently, there has been a growing interest in the field of controllable Text-to-Speech (TTS). While previous studies have relied on users providing specific style factor values ba…

eess.AS2021★ 2 cited

Multi-Singer: Fast Multi-Singer Singing Voice Vocoder With A Large-Scale Corpus

Rongjie Huang, Feiyang Chen, Yi Ren +3

High-fidelity multi-singer singing voice synthesis is challenging for neural vocoder due to the singing voice data shortage, limited singer generalization, and large computational…

eess.AS2021

SingGAN: Generative Adversarial Network For High-Fidelity Singing Voice Generation

Rongjie Huang, Chenye Cui, Feiyang Chen +5

Deep generative models have achieved significant progress in speech synthesis to date, while high-fidelity singing voice synthesis is still an open problem for its long continuous…

cs.CL2021

EMOVIE: A Mandarin Emotion Speech Dataset with a Simple Emotional Text-to-Speech Model

Chenye Cui, Yi Ren, Jinglin Liu +4

Recently, there has been an increasing interest in neural speech synthesis. While the deep neural network achieves the state-of-the-art result in text-to-speech (TTS) tasks, how to…

eess.AS2021★ 35 cited

DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism

Jinglin Liu, Chengxi Li, Yi Ren +2

Singing voice synthesis (SVS) systems are built to synthesize high-quality and expressive singing voice, in which the acoustic model generates the acoustic features (e.g., mel-spec…

cs.LG2021★ 2 cited

BridgeDPI: A Novel Graph Neural Network for Predicting Drug-Protein Interactions

Yifan Wu, Min Gao, Min Zeng +3

Motivation: Exploring drug-protein interactions (DPIs) work as a pivotal step in drug discovery. The fast expansion of available biological data enables computational methods effec…

cs.CL2019★ 54 cited

Complementary Fusion of Multi-Features and Multi-Modalities in Sentiment Analysis

Feiyang Chen, Ziqian Luo, Yanyan Xu +1

Sentiment analysis, mostly based on text, has been rapidly developing in the last decade and has attracted widespread attention in both academia and industry. However, the informat…

cs.DS2019★ 4 cited

An efficient sorting algorithm - Ultimate Heapsort(UHS)

Feiyang Chen, Nan Chen, Hanyang Mao +1

Motivated by the development of computer theory, the sorting algorithm is emerging in an endless stream. Inspired by decrease and conquer method, we propose a brand new sorting alg…

cs.DS2019★ 3 cited

The Application of Bipartite Matching in Assignment Problem

Feiyang Chen, Nan Chen, Hanyang Mao +1

The optimized assignment of staff is of great significance for improving the production efficiency of the society. For specific tasks, the key to optimizing staffing is personnel s…

cs.CV2018★ 39 cited

Assessing four Neural Networks on Handwritten Digit Recognition Dataset (MNIST)

Feiyang Chen, Nan Chen, Hanyang Mao +1

Although the image recognition has been a research topic for many years, many researchers still have a keen interest in it[1]. In some papers[2][3][4], however, there is a tendency…

eess.AS2018★ 9 cited

Learning Robust Heterogeneous Signal Features from Parallel Neural Network for Audio Sentiment Analysis

Feiyang Chen, Ziqian Luo

Audio Sentiment Analysis is a popular research area which extends the conventional text-based sentiment analysis to depend on the effectiveness of acoustic features extracted from…