Results 31 to 40 of about 23,204 (110)
Toward Interactive Music Generation: A Position Paper
Music generation using deep learning has received considerable attention in recent years. Researchers have developed various generative models capable of imitating musical conventions, comprehending the musical corpora, and generating new samples based ...
Shayan Dadman +3 more
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Enhancing MusicGen with Prompt Tuning
Generative AI has been gaining attention across various creative domains. In particular, MusicGen stands out as a representative approach capable of generating music based on text or audio inputs.
Hohyeon Shin +2 more
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Personalized Music Education: A Systematic Review of AI Generation Methods
Despite recent notable advances of AI-Education research, formal music education is still largely performed as it was at the beginning of the last century.
Filippo Carnovalini +2 more
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The Ai Music Generation Challenge 2020: Double Jigs in the Style of O'Neill's 1001
This article describes and analyses the Ai Music Generation Challenge 2020, where seven participants competed to build artificial systems that generate the most plausible double jigs, as judged against the 365 published in The Dance Music of Ireland: O ...
Bob Sturm, Hugo Maruri-Aguilar
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Creative Chord Sequence Generation for Electronic Dance Music
This paper describes the theory and implementation of a digital audio workstation plug-in for chord sequence generation. The plug-in is intended to encourage and inspire a composer of electronic dance music to explore loops through chord sequence pattern
Darrell Conklin +2 more
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Network representations of drum sequences for classification and generation
Complex networks have emerged as a powerful framework for understanding and analyzing musical compositions, revealing underlying structures and dynamics that may not be immediately apparent.
Daniel Gómez-Marín +3 more
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LSTM-Based Music Generation Technologies
In deep learning, Long Short-Term Memory (LSTM) is a well-established and widely used approach for music generation. Nevertheless, creating musical compositions that match the quality of those created by human composers remains a formidable challenge ...
Yi-Jen Mon
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Detecting Deepfake Audio Using Spectrogram-Based Machine Learning Approaches
The increasing ability of deep learning models to produce realistic-sounding synthetic speech poses serious problems for privacy, public trust, and digital security.
Ritushree Bohara, Amit Kumar Bairwa
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Text-to-music (TTM) models have recently revolutionized the automatic music generation research field, specifically by being able to generate music that sounds more plausible than all previous state-of-the-art models and by lowering the technical ...
Luca Comanducci +2 more
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Heterogeneous AI Music Generation Technology Integrating Fine-Grained Control
As artificial intelligence algorithms continue to advance, researchers have increasingly harnessed their capabilities to generate music that resonates with human emotions, offering a novel means of alleviating the escalating pressures of contemporary ...
Hongtao Wang, Li Gong
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