Computational Music and Audio Technologies
Computational Music and Audio Technologies merge machine learning, acoustics, signal processing, and music theory to analyze and generate sound in innovative ways. AI models capture rhythm, harmony, timbre, and stylistic nuances to support composition, orchestration, and music production. Neural audio synthesis produces lifelike instruments, voices, and immersive soundscapes. Intelligent systems assist musicians by generating accompaniments, suggesting melodic ideas, or transforming audio in real time. Music information retrieval enables analysis of genre, mood, motifs, and historical patterns across large music corpora. Multimodal research incorporates psychoacoustics, cognition, and creative practice. Audio technologies support entertainment, therapeutic sound design, hearing assistance, virtual reality, and cultural preservation. As computational creativity expands, music becomes increasingly interactive, adaptive, and personalized. This field reshapes how humans create, study, and experience sound.