Autoregressive LSTM with attention yields the most coherent Bach-style samples; vector quantization improves VAE structure over standard recurrent VAEs while GANs struggle with training stability and style generalization.
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Generative Modeling of Bach-Style Symbolic Music: A Comparative Study of Autoregressive, Latent-Variable, and Adversarial Approaches
Autoregressive LSTM with attention yields the most coherent Bach-style samples; vector quantization improves VAE structure over standard recurrent VAEs while GANs struggle with training stability and style generalization.