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INCO-GAN: Variable-Length Music Generation Method Based on Inception Model-Based Conditional GAN

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1080/09540099408915726openalex-snapshot
Neural Network Music Composition by Prediction: Exploring the Benefits of Psychoacoustic Constraints and Multi-scale Processing
inferredcites →https://doi.org/10.1109/icmla.2018.00114openalex-snapshot
Lead Sheet Generation and Arrangement by Conditional Generative Adversarial Network
inferredcites →https://doi.org/10.1109/tip.2019.2904460openalex-snapshot
3D2SeqViews: Aggregating Sequential Views for 3D Global Feature Learning by CNN With Hierarchical Attention Aggregation
inferredcites →https://doi.org/10.1186/s13673-020-00252-8openalex-snapshot
Newspaper article-based agent control in smart city simulations
inferredcites →https://doi.org/10.1609/aaai.v31i1.10804openalex-snapshot
SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient
inferredcites →https://doi.org/10.1609/aaai.v31i1.11231openalex-snapshot
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
inferredcites →https://doi.org/10.1609/aaai.v32i1.11312openalex-snapshot
MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment
inferredcites →https://doi.org/10.3390/electronics8111250openalex-snapshot
Melody Extraction and Encoding Method for Generating Healthcare Music Automatically
inferredcites →https://doi.org/10.3390/math7100883openalex-snapshot
Automatic Melody Composition Using Enhanced GAN
inferredcites →https://doi.org/10.48550/arxiv.1411.1784openalex-snapshot
Conditional Generative Adversarial Nets
inferredcites →https://doi.org/10.48550/arxiv.1611.09904openalex-snapshot
C-RNN-GAN: Continuous recurrent neural networks with adversarial training
inferredcites →https://doi.org/10.48550/arxiv.1612.01010openalex-snapshot
DeepBach: a Steerable Model for Bach Chorales Generation
inferredcites →https://doi.org/10.48550/arxiv.1703.10847openalex-snapshot
MidiNet: A Convolutional Generative Adversarial Network for Symbolic-domain Music Generation
inferredcites →https://doi.org/10.48550/arxiv.1709.06298openalex-snapshot
Lakh Pianoroll Dataset
inferredcites →https://doi.org/10.5539/cis.v11n3p50openalex-snapshot
Music Generation Based on Convolution-LSTM

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4665397openalex-extracted
Neural Networks in Music Generation
inferred← citeshttps://doi.org/10.1002/itl2.70156openalex-snapshot
Large Model‐Enhanced CNN –Transformer Architecture for Adaptive Music Quality Classification in Wireless Communication Networks
inferred← citeshttps://doi.org/10.1007/978-981-19-2456-9_120openalex-snapshot
An Improved Time Series Network Model Based on Multitrack Music Generation
inferred← citeshttps://doi.org/10.1007/978-981-96-2124-8_12openalex-snapshot
A Systematic Review of AI-Based Therapeutic Music Generation Systems
inferred← citeshttps://doi.org/10.1007/978-981-97-2053-8_18openalex-snapshot
A Convolutional Model to Generate Human and Anime Faces Using DCGAN
inferred← citeshttps://doi.org/10.1007/s00146-025-02682-3openalex-snapshot
Artificial creativity: can there be creativity without cognition?
inferred← citeshttps://doi.org/10.1007/s00530-023-01245-0openalex-snapshot
An automatic music generation method based on RSCLN_Transformer network
inferred← citeshttps://doi.org/10.1007/s10462-022-10153-0openalex-snapshot
EnvGAN: a GAN-based augmentation to improve environmental sound classification
inferred← citeshttps://doi.org/10.1007/s11760-023-02960-xopenalex-snapshot
Generative adversarial networks with Gramian angular field for handling imbalanced data in specific emitter identification
inferred← citeshttps://doi.org/10.1007/s42452-025-07073-3openalex-snapshot
Constrained adversarial learning for automated software testing: a literature review
inferred← citeshttps://doi.org/10.1016/j.aej.2025.05.053openalex-snapshot
MusDiff: A multimodal-guided framework for music generation
inferred← citeshttps://doi.org/10.1016/j.aej.2025.07.043openalex-snapshot
Harmonizing AI: A GAN–Transformer fusion for expressive multimodal music synthesis in IoT systems
inferred← citeshttps://doi.org/10.1016/j.csbj.2023.10.050openalex-snapshot
SIGANEO: Similarity network with GAN enhancement for immunogenic neoepitope prediction
inferred← citeshttps://doi.org/10.1016/j.eswa.2022.118190openalex-snapshot
A systematic review of artificial intelligence-based music generation: Scope, applications, and future trends
inferred← citeshttps://doi.org/10.1016/j.jnca.2022.103488openalex-snapshot
Improved GAN with fact forcing for mobility prediction
inferred← citeshttps://doi.org/10.1038/s41598-022-19786-1openalex-snapshot
Automatic composition of Guzheng (Chinese Zither) music using long short-term memory network (LSTM) and reinforcement learning (RL)
inferred← citeshttps://doi.org/10.1080/02533839.2026.2659722openalex-snapshot
TLFGMRU-based automatic music generation and optimal refinement using YQ-Wtd-Fuzzy with robot technology
inferred← citeshttps://doi.org/10.1109/access.2023.3244620openalex-snapshot
Music Deep Learning: Deep Learning Methods for Music Signal Processing—A Review of the State-of-the-Art
inferred← citeshttps://doi.org/10.1109/access.2023.3346273openalex-snapshot
A Review of Generative Adversarial Networks (GANs) and Its Applications in a Wide Variety of Disciplines: From Medical to Remote Sensing
inferred← citeshttps://doi.org/10.1109/access.2024.3414673openalex-snapshot
Real-Time Emotion-Based Piano Music Generation Using Generative Adversarial Network (GAN)
inferred← citeshttps://doi.org/10.1109/icaiss61471.2025.11042077openalex-snapshot
GANs-based Music Generation: Unlocking the Power of Music
inferred← citeshttps://doi.org/10.1109/icdds62937.2024.10910803openalex-snapshot
Unified Framework for Classical Music Generation Using GANs, VAEs, and Diffusion
inferred← citeshttps://doi.org/10.1109/ispa63168.2024.00117openalex-snapshot
CNN-LSTM based Multimodal Models for Music Generation
inferred← citeshttps://doi.org/10.1109/itcem65710.2024.00023openalex-snapshot
Research on the Innovation and Development of Traditional Music Based on New Digital Technology
inferred← citeshttps://doi.org/10.1145/3705391.3705406openalex-snapshot
Environmental Sound Recognition Enhancement Algorithm based on GAN
inferred← citeshttps://doi.org/10.1155/2022/3847415openalex-snapshot
The Psychological Education Strategy of Music Generation and Creation by Generative Confrontation Network under Deep Learning
inferred← citeshttps://doi.org/10.1155/2022/8336616openalex-snapshot
The Generation of Piano Music Using Deep Learning Aided by Robotic Technology
inferred← citeshttps://doi.org/10.11591/ijaas.v13.i2.pp360-370openalex-snapshot
MIDI-based generative neural networks with variational autoencoders for innovative music creation
inferred← citeshttps://doi.org/10.14236/ewic/eva2022.33openalex-snapshot
Adaptive VR Test in Music Harmony Based on Conditional Spiking GAN
inferred← citeshttps://doi.org/10.23919/ccc58697.2023.10240781openalex-snapshot
Generation of Solar Cell Defect Images Based on Multi-Perceptual Fields and Attention Mechanism
inferred← citeshttps://doi.org/10.3390/math10152747openalex-snapshot
Enhanced Evaluation Method of Musical Instrument Digital Interface Data based on Random Masking and Seq2Seq Model
inferred← citeshttps://doi.org/10.3390/math11040798openalex-snapshot
MRBERT: Pre-Training of Melody and Rhythm for Automatic Music Generation
inferred← citeshttps://doi.org/10.3390/math11081915openalex-snapshot
MelodyDiffusion: Chord-Conditioned Melody Generation Using a Transformer-Based Diffusion Model
inferred← citeshttps://doi.org/10.3390/math11153345openalex-snapshot
A Novel Probabilistic Diffusion Model Based on the Weak Selection Mimicry Theory for the Generation of Hypnotic Songs
inferred← citeshttps://doi.org/10.3390/s25020386openalex-snapshot
TARREAN: A Novel Transformer with a Gate Recurrent Unit for Stylized Music Generation
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