An adaptive neuro-fuzzy inference system for the qualitative study of perceptual prominence in linguistics

摘要: This paper explores the applications of fuzzy logic inference systems as an instrument to perform linguistic analysis in domain prosodic prominence. Understanding how acoustic features interact make a unit be perceived more relevant than surrounding ones is generally needed study cognitive processes for speech understanding. It also has technological field recognition and synthesis. We present first experiment show systems, being characterised by their capability provide detailed insight about models obtained through supervised learning can help investigate complex relationships among linked prominence perception.