Emotion recognition in speech, driven by advances in neural network methodologies, has emerged as a pivotal domain in human–machine interaction.

Seeking to address the issue of channel alignment in downstream speech emotion recognition applications, a research group at East China Normal University in Shanghai developed a temporal shift ...

More information: Han Tian et al, Deep learning for Depression Recognition from Speech, Mobile Networks and Applications (2023). DOI: 10.1007/s11036-022-02086-3 ...