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 another corpus for testing, and generally involves the following two basic problems: the corpus-invariant feature representation.and relevance across different corpora. To deal with these two problems, we propose a novel transfer learning method called transfer sparse discriminant subspace learning (TSDSL) in this article.
