Speech emotion recognition (SER) has attracted much interest recently due to its wide
applications. However, it should be noted that most SER methods are conducted on the …

Speech emotion recognition has become an attractive research topic due to various
emotional states of speech signals in real-life scenarios. Most current speech emotion …

In this letter, a novel cross-corpus speech emotion recognition (SER) method using domain-
adaptive least-squares regression (DaLSR) model is proposed. In this method, an additional …

Speech emotion recognition has received an increasing interest in recent years, which is
often conducted on the assumption that speech utterances in training and testing datasets …

In this paper, we do research on cross‐corpus speech emotion recognition (SER), in which
the training and testing speech signals come from different speech corpus. The mismatched …

Cross-corpus speech emotion recognition has attracted much attention due to the
widespread existence of various emotional speech in life. It takes one corpus for training and …

This article focuses on the cross-corpus speech emotion recognition (SER) task. To
overcome the problem that the distribution of training (source) samples is inconsistent with …

A major challenge for speech emotion recognition is that when the training and deployment
conditions do not use the same speech corpus, the recognition rates will obviously drop …

In this paper, we focus on the research of cross-corpus speech emotion recognition (SER),
in which the training and testing speech signals in cross-corpus SER belong to dierent …

Cross-corpus speech emotion recognition (SER) is a hot topic in emotion classification.
Cross-corpus SER includes these four issues: feature selection, differences constraint, label …