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20212026
most citedLSSED: a large-scale dataset and benchmark for speech emotion recognition

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cs.SD2026

Imitation Learning for Elder-Facing Speech Synthesis

Dongrui Han, Weidong Chen, Jiawen Kang +3

Recent advances in text-to-speech (TTS) synthesis have achieved highly natural and expressive speech generation. However, these systems are designed for general adults and overlook…

cs.SD2025

MNV-17: A High-Quality Performative Mandarin Dataset for Nonverbal Vocalization Recognition in Speech

Jialong Mai, Jinxin Ji, Xiaofen Xing +4

Mainstream Automatic Speech Recognition (ASR) systems excel at transcribing lexical content, but largely fail to recognize nonverbal vocalizations (NVs) embedded in speech, such as…

cs.SD2025

DrawSpeech: Expressive Speech Synthesis Using Prosodic Sketches as Control Conditions

Weidong Chen, Shan Yang, Guangzhi Li +1

Controlling text-to-speech (TTS) systems to synthesize speech with the prosodic characteristics expected by users has attracted much attention. To achieve controllability, current…

cs.SD2023

Vesper: A Compact and Effective Pretrained Model for Speech Emotion Recognition

Weidong Chen, Xiaofen Xing, Peihao Chen +1

This paper presents a paradigm that adapts general large-scale pretrained models (PTMs) to speech emotion recognition task. Although PTMs shed new light on artificial general intel…

cs.SD2022

SpeechFormer: A Hierarchical Efficient Framework Incorporating the Characteristics of Speech

Weidong Chen, Xiaofen Xing, Xiangmin Xu +2

Transformer has obtained promising results on cognitive speech signal processing field, which is of interest in various applications ranging from emotion to neurocognitive disorder…

cs.SD20211 cited

LSSED: a large-scale dataset and benchmark for speech emotion recognition

Weiquan Fan, Xiangmin Xu, Xiaofen Xing +2

Speech emotion recognition is a vital contributor to the next generation of human-computer interaction (HCI). However, current existing small-scale databases have limited the devel…