IDENTIFYING EMOTIONAL STATES IN BAKHSHI PERFORMANCES USING ARTIFICIAL INTELLIGENCE

Abstract

This article examines the possibilities of identifying emotional states in Bakhshi performances using artificial intelligence technologies, as well as the importance of these technologies in the digitalization of national musical heritage. The study analyzes the capabilities of artificial intelligence in examining voice timbre, intonation, rhythm, emotional tone, and speech dynamics in Bakhshi performances. In addition, issues related to digital analysis of Bakhshi art based on audio signal processing, Speech Emotion Recognition technologies, machine learning, and neural networks are discussed. The article scientifically substantiates the prospects of creating audio databases of Bakhshi performances, their automatic classification, and the preservation of national folklore heritage through modern digital platforms. The research results serve as an important scientific and practical basis for the digitalization of Bakhshi art, preservation of traditional performance, and integration of artificial intelligence technologies into the national music education system.