Learning affective representations based on magnitude and dynamic relative phase information for speech emotion recognition

• المؤلفون الرئيسيون: Guo, Lili, Wang, Longbiao, Dang, Jianwu, Chng, Eng Siong, Nakagawa, Seiichi
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2022
• الموضوعات: Engineering::Computer science and engineering; Speech Emotion Recognition; Magnitude Spectrogram
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/162646

The complete acoustic features include magnitude and phase information. However, traditional speech emotion recognition methods only focus on the magnitude information and ignore the phase data, and will inevitably miss some information. This study explores the accurate extraction and effective use...