Our times, the golden age of data, pulsate with an unseen symphony, waiting to be deciphered and composed. This thesis is an audacious endeavor to unlock the harmonies hidden within the digital realm through the gimmicks of deep learning. We embark on a quest to illuminate the black box of music creation, training neural networks to be virtuosic composers. By delving into the intricate patterns and structures that underlie human musical expression, we aim to cultivate AI systems capable of generating original, emotive, and aesthetically pleasing compositions. This research is not merely an exploration of technological prowess; it is a passionate pursuit to expand the frontiers of human creativity and to challenge our perception of what it means to compose music. Through this work, we seek to contribute to a future where AI and humans collaborate in a creative partnership, enriching the cultural tapestry with a new and inspiring musical language. Beyond the veil of code and data lies a symphony waiting to be heard.
Our times, the golden age of data, pulsate with an unseen symphony, waiting to be deciphered and composed. This thesis is an audacious endeavor to unlock the harmonies hidden within the digital realm through the gimmicks of deep learning. We embark on a quest to illuminate the black box of music creation, training neural networks to be virtuosic composers. By delving into the intricate patterns and structures that underlie human musical expression, we aim to cultivate AI systems capable of generating original, emotive, and aesthetically pleasing compositions. This research is not merely an exploration of technological prowess; it is a passionate pursuit to expand the frontiers of human creativity and to challenge our perception of what it means to compose music. Through this work, we seek to contribute to a future where AI and humans collaborate in a creative partnership, enriching the cultural tapestry with a new and inspiring musical language. Beyond the veil of code and data lies a symphony waiting to be heard.
State of the Art in the Field of Neural Music Generation
CACIOLI, ANDREA
2023/2024
Abstract
Our times, the golden age of data, pulsate with an unseen symphony, waiting to be deciphered and composed. This thesis is an audacious endeavor to unlock the harmonies hidden within the digital realm through the gimmicks of deep learning. We embark on a quest to illuminate the black box of music creation, training neural networks to be virtuosic composers. By delving into the intricate patterns and structures that underlie human musical expression, we aim to cultivate AI systems capable of generating original, emotive, and aesthetically pleasing compositions. This research is not merely an exploration of technological prowess; it is a passionate pursuit to expand the frontiers of human creativity and to challenge our perception of what it means to compose music. Through this work, we seek to contribute to a future where AI and humans collaborate in a creative partnership, enriching the cultural tapestry with a new and inspiring musical language. Beyond the veil of code and data lies a symphony waiting to be heard.File | Dimensione | Formato | |
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State Of The Art In The Field Of Neural Music Genereation.pdf
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https://hdl.handle.net/20.500.14240/8943