Head Fusion:A Method to Improve Accuracy and Robustness of Speech Emotion Recognition
Speech emotion recognition(SER) refers to the use of machines to recognize the emotions of a speaker from speech.SER is an important part of human-computer interaction(HCI).But there are still many problems in SER research,e.g.,the lack of high-quality data,insufficient model accuracy,little researc...
Main Author: | XU Ming-ke, ZHANG Fan |
---|---|
Format: | Article |
Language: | zho |
Published: |
Editorial office of Computer Science
2022-07-01
|
Series: | Jisuanji kexue |
Subjects: | |
Online Access: | https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2022-49-7-132.pdf |
Similar Items
-
Speech Emotion Recognition under Noisy Environments with SNR Down to −6 dB Using Multi-Decoder Wave-U-Net
by: Hyun-Joon Nam, et al.
Published: (2024-06-01) -
Speech Emotion Recognition: Humans vs Machines
by: S. Werner, et al.
Published: (2019-12-01) -
Speech Emotion Recognition Based on Self-Attention Weight Correction for Acoustic and Text Features
by: Jennifer Santoso, et al.
Published: (2022-01-01) -
Robust Multi-Scenario Speech-Based Emotion Recognition System
by: Fangfang Zhu-Zhou, et al.
Published: (2022-03-01) -
Speech Emotion and Naturalness Recognitions With Multitask and Single-Task Learnings
by: Bagus Tris Atmaja, et al.
Published: (2022-01-01)