Music Expression Understanding Based on a Joint Semantic Space

A paradigm for music expression understanding based on a joint semantic space, described by both affective and sensorial adjectives, is presented. Machine learning techniques were employed to select and validate relevant low level features, and an interpretation of the clustered organization based on action and physical analogy is proposed. Key words: Expression, Music Performance, Semantic Expressive Space

• Type: Conference
• Year: 2007
• Where: AIIA
• Authors: Luca Mion, Giovanni De Poli
• Keywords: AIIA 2007, Artificial Intelligence, Joint Semantic Space, Semantic Expressive Space, Sensorial Adjectives