Recently， the research on the speech characteristics of depression disorders has been widely concerned， and it has been applied to the diagnosis and recognition of depression by combining machine algorithms. This article reviews the speech acoustic features found in recent years related to depressive disorders and confounding factors that influence the results of these studies. The existing problems in this field were also summarized， and future research directions were further proposed.