Producing Music with N - Delta Interfaces

Margounakis, Dimitrios; Politis, Dionysios

doi:10.1109/axmedis.2005.40

Cited by 1 publication

(1 citation statement)

References 12 publications

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“…Music, as an art form for expressing emotions, commands substantial demand in the market [1] . Currently, the availability of professional music creators is limited, and music production is characterized by its time-consuming and resourceintensive nature, resulting in elevated costs [2] . With the evolution of computer technology, the utilization of neural networks for the autonomous generation of music has become a feasible endeavor.…”

Section: Introductionmentioning

confidence: 99%

A music generation model based on Bi-LSTM

bai

2024

International Conference on Algorithm, Imaging Processing, and Machine Vision (AIPMV 2023)

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The unidirectional LSTM based music generation model does not take into account the influence of future information when generating music. It solely focuses on learning the dependencies of the current moment on past information, resulting in music with poor stability and subpar quality. To address this issue, we have developed a music generation model based on bidirectional LSTM. During the training phase, this model effectively captures musical information from both past and future time steps, resulting in a probability distribution of musical elements that closely approximates real-world music. This, in turn, leads to enhanced structural stability and improved music quality in the generated compositions. Finally, we conducted validation experiments on our proposed approach, and the results unequivocally demonstrate its effectiveness.

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Section: Introductionmentioning

confidence: 99%

A music generation model based on Bi-LSTM

bai

2024

International Conference on Algorithm, Imaging Processing, and Machine Vision (AIPMV 2023)

View full text Add to dashboard Cite

show abstract

Producing Music with N - Delta Interfaces

Cited by 1 publication

References 12 publications

A music generation model based on Bi-LSTM

A music generation model based on Bi-LSTM

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