Speech conveys not only linguistic information but also supplemental information that is not inferable from written language, such as attitude, speaking style, intention, emotion, mental state, and so on, and is called para-or non-linguistic information. This type of information plays important roles for smooth and natural communication through spoken language. This paper reviews recognition and synthesis techniques for speech communication focusing on emotion and emphasis as well as corpora that are dispensable to development of current speech technologies.