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

• Main Authors: Guo, Lili, Wang, Longbiao, Dang, Jianwu, Chng, Eng Siong, Nakagawa, Seiichi
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Computer science and engineering; Speech Emotion Recognition; Magnitude Spectrogram
• Online Access: https://hdl.handle.net/10356/162646
• Institution: Nanyang Technological University

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...