3 accepted papers
This paper describes an approach to algorithmic music composition that takes narrative structures as input, allowing composers to create music directly from narrative elements. Creating narrative development in music remains a challenging task in algorithmic composition. Our system addresses this by
We propose a unified framework for Singing Voice Synthesis (SVS) and Conversion (SVC), addressing the limitations of existing approaches in cross-domain SVS/SVC, poor output musicality, and scarcity of singing data. Our framework enables control over multiple aspects, including language content base…
Music timbre style transfer aims at replacing the instrument timbre in a solo recording with another instrument, while preserving the musical content. Existing GAN-based methods can only achieve timbre style transfer between two given timbres. Inspired by the practice in voice conversion, we propose…