On the public citation graph
The AI Music Arms Race: On the Detection of AI-Generated Music
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-031-56992-0_18openalex-snapshot
No Longer Trending on Artstation: Prompt Analysis of Generative AI Art
inferredcites →https://doi.org/10.1007/s10618-010-0175-9openalex-snapshot
A survey of hierarchical classification across different application domains
inferredcites →https://doi.org/10.1038/s42256-020-00257-zopenalex-snapshot
Shortcut learning in deep neural networks
inferredcites →https://doi.org/10.1093/acprof:oso/9780199836963.003.0012openalex-snapshot
Creativity and Artificial Intelligence
inferredcites →https://doi.org/10.1109/cvprw59228.2023.00097openalex-snapshot
AI-Synthesized Voice Detection Using Neural Vocoder Artifacts
inferredcites →https://doi.org/10.1109/icassp.2017.7952585openalex-snapshot
Convolutional recurrent neural networks for music classification
inferredcites →https://doi.org/10.1109/icassp49357.2023.10095969openalex-snapshot
Large-Scale Contrastive Language-Audio Pretraining with Feature Fusion and Keyword-to-Caption Augmentation
inferredcites →https://doi.org/10.1145/3394171.3413716openalex-snapshot
DeepSonar: Towards Effective and Robust Detection of AI-Synthesized Fake Voices
inferredcites →https://doi.org/10.1145/3591196.3593051openalex-snapshot
Examining the Text-to-Image Community of Practice: Why and How do People Prompt Generative AIs?
inferredcites →https://doi.org/10.1162/comj.2005.29.1.55openalex-snapshot
Zipf's Law, Music Classification, and Aesthetics
inferredcites →https://doi.org/10.1515/opis-2022-0158openalex-snapshot
The Effectiveness of Software Designed to Detect AI-Generated Writing: A Comparison of 16 AI Text Detectors
inferredcites →https://doi.org/10.1609/aaai.v39i19.34221openalex-snapshot
Improving Generalization for AI-Synthesized Voice Detection
inferredcites →https://doi.org/10.48550/arxiv.1201.0490openalex-snapshot
Scikit-learn: Machine Learning in Python
inferredcites →https://doi.org/10.48550/arxiv.1802.03426openalex-snapshot
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
inferredcites →https://doi.org/10.48550/arxiv.1909.06654openalex-snapshot
musicnn: Pre-trained convolutional neural networks for music audio tagging
inferredcites →https://doi.org/10.48550/arxiv.2112.06560openalex-snapshot
HiClass: a Python library for local hierarchical classification compatible with scikit-learn
inferredcites →https://doi.org/10.48550/arxiv.2304.02819openalex-snapshot
GPT detectors are biased against non-native English writers
inferredcites →https://doi.org/10.48550/arxiv.2306.15666openalex-snapshot
Testing of Detection Tools for AI-Generated Text
inferredcites →https://doi.org/10.48550/arxiv.2309.07525openalex-snapshot
SVDD Challenge 2024: A Singing Voice Deepfake Detection Challenge (CtrSVDD Track, Test Set)
inferredcites →https://doi.org/10.48550/arxiv.2405.04181openalex-snapshot
Detecting music deepfakes is easy but actually hard
inferredcites →https://doi.org/10.48550/arxiv.2408.14080openalex-snapshot
SONICS: Synthetic Or Not -- Identifying Counterfeit Songs
inferredcites →https://doi.org/10.5281/zenodo.1415016openalex-snapshot
Essentia: An Audio Analysis Library For Music Information Retrieval.
inferredcites →https://doi.org/10.5334/tismir.13openalex-snapshot
Ethical Dimensions of Music Information Retrieval Technology
inferredcites →https://doi.org/10.6084/m9.figshare.12731039.v1openalex-snapshot
Deep Learning for Deepfakes Creation and Detection: A Survey
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-032-38407-2_57openalex-snapshot
Mapping the Acoustic Alignment: Feature Correlation Analysis of Human and AI-Generated Music in Social Media
inferred← citeshttps://doi.org/10.1007/978-3-032-40774-0_7openalex-snapshot
Reconstruction Error Fingerprints for Few-Shot Neural Audio Codec Attribution
inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11464623openalex-snapshot
AI-Generated Music Detection in Broadcast Monitoring
inferred← citeshttps://doi.org/10.31243/jesse.uta.v1i1.2997.2025openalex-snapshot
Beat: descubrimiento y organización de colecciones de música basada en APIs de terceros.
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Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.