“‘AI Music’ Tag”,2019-09-28 ():
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Bibliography for tag
ai/music, most recent first: 1 related tag, 88 annotations, & 160 links (parent).
- See Also
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- “GSoC 2024: Differentiable Logic for Interactive Systems and Generative Music”
- “A.L.S. Stole His Voice. A.I. Retrieved It.”
- “SemantiCodec: An Ultra Low Bitrate Semantic Audio Codec for General Sound”, et al 2024
- “Long-Form Music Generation With Latent Diffusion”, et al 2024
- “An Accurate and Rapidly Calibrating Speech Neuroprosthesis”, et al 2024
- “OpenVoice: Versatile Instant Voice Cloning”, et al 2023
- “A Disney Director Tried—And Failed—To Use an AI Hans Zimmer to Create a Soundtrack”, 2023
- “Whisper-AT: Noise-Robust Automatic Speech Recognizers Are Also Strong General Audio Event Taggers”, et al 2023
- “High-Fidelity Audio Compression With Improved RVQGAN”, et al 2023
- “Vocos: Closing the Gap between Time-Domain and Fourier-Based Neural Vocoders for High-Quality Audio Synthesis”, 2023
- “Voice Conversion With Just Nearest Neighbors”, et al 2023
- “SoundStorm: Efficient Parallel Audio Generation”, et al 2023
- “ImageBind: One Embedding Space To Bind Them All”, et al 2023
- “TANGO: Text-To-Audio Generation Using Instruction-Tuned LLM and Latent Diffusion Model”, et al 2023
- “CLaMP: Contrastive Language-Music Pre-Training for Cross-Modal Symbolic Music Information Retrieval”, et al 2023
- “Speak, Read and Prompt (SPEAR-TTS): High-Fidelity Text-To-Speech With Minimal Supervision”, et al 2023
- “Msanii: High Fidelity Music Synthesis on a Shoestring Budget”, 2023
- “Archisound: Audio Generation With Diffusion”, 2023
- “Rock Guitar Tablature Generation via Natural Language Processing”, Casco-2023
- “VALL-E: Neural Codec Language Models Are Zero-Shot Text to Speech Synthesizers”, et al 2023
- “High Fidelity Neural Audio Compression”, et al 2022
- “Hierarchical Diffusion Models for Singing Voice Neural Vocoder”, et al 2022
- “RealSinger: Ultra-Realistic Singing Voice Generation via Stochastic Differential Equations”, 2022
- “AudioLM: a Language Modeling Approach to Audio Generation”, et al 2022
- “MeloForm: Generating Melody With Musical Form Based on Expert Systems and Neural Networks”, et al 2022
- “AI Composer Bias: Listeners like Music Less When They Think It Was Composed by an AI”, et al 2022
- “Musika! Fast Infinite Waveform Music Generation”, Pasini & 2022
- “Multitrack Music Transformer: Learning Long-Term Dependencies in Music With Diverse Instruments”, et al 2022
- “BigVGAN: A Universal Neural Vocoder With Large-Scale Training”, et al 2022
- “CLAP: Learning Audio Concepts From Natural Language Supervision”, et al 2022
- “Tradformer: A Transformer Model of Traditional Music Transcriptions”, 2022
- “SymphonyNet: Symphony Generation With Permutation Invariant Language Model”, et al 2022
- “It’s Raw! Audio Generation With State-Space Models”, et al 2022
- “General-Purpose, Long-Context Autoregressive Modeling With Perceiver AR”, et al 2022
- “FIGARO: Generating Symbolic Music With Fine-Grained Artistic Control”, et al 2022
- “Steerable Discovery of Neural Audio Effects”, 2021
- “Semi-Supervised Music Tagging Transformer”, et al 2021
- “AudioCLIP: Extending CLIP to Image, Text and Audio”, et al 2021
- “MLP Singer: Towards Rapid Parallel Korean Singing Voice Synthesis”, et al 2021
- “PriorGrad: Improving Conditional Denoising Diffusion Models With Data-Dependent Adaptive Prior”, et al 2021
- “DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism”, et al 2021
- “Symbolic Music Generation With Diffusion Models”, et al 2021
- “Interacting With GPT-2 to Generate Controlled and Believable Musical Sequences in ABC Notation”, Geerlings & Meroño-2020
- “AI Song Contest: Human-AI Co-Creation in Songwriting”, et al 2020
- “HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis”, et al 2020
- “DeepSinger: Singing Voice Synthesis With Data Mined From the Web”, et al 2020
- “Learning Music Helps You Read: Using Transfer to Study Linguistic Structure in Language Models”, 2020
- “Pony Voice Event—What People Forced Ponies to Say!”, Daily 2020
- “15.ai”, 2020
- “Pop Music Transformer: Beat-Based Modeling and Generation of Expressive Pop Piano Compositions”, 2020
- “Writing the Next American Hit: Using GPT-2 to Explore the Possibility of Creating Successful AI-Generated Song Lyrics Possibility of Creating Successful AI-Generated Song Lyric”, 2020
- “Encoding Musical Style With Transformer Autoencoders”, et al 2019
- “GPT-2 Folk Music”, 2019
- “Parallel WaveGAN: A Fast Waveform Generation Model Based on Generative Adversarial Networks With Multi-Resolution Spectrogram”, et al 2019
- “Low-Dimensional Embodied Semantics for Music and Language”, et al 2019
- “MuseNet: a Deep Neural Network That Can Generate 4-Minute Musical Compositions With 10 Different Instruments, and Can Combine Styles from Country to Mozart to the Beatles”, 2019
- “Generative Modeling With Sparse Transformers: We’ve Developed the Sparse Transformer, a Deep Neural Network Which Sets New Records at Predicting What Comes next in a Sequence—Whether Text, Images, or Sound. It Uses an Algorithmic Improvement of the attention Mechanism to Extract Patterns from Sequences 30× Longer Than Possible Previously”, 2019
- “Music Transformer: Generating Music With Long-Term Structure”, et al 2018
- “FloWaveNet: A Generative Flow for Raw Audio”, et al 2018
- “Piano Genie”, et al 2018
- “Music Transformer”, et al 2018
- “This Time With Feeling: Learning Expressive Musical Performance”, et al 2018
- “The Challenge of Realistic Music Generation: Modeling Raw Audio at Scale”, et al 2018
- “The Sound of Pixels”, et al 2018
- “Efficient Neural Audio Synthesis”, et al 2018
- “Generating Structured Music through Self-Attention”, et al 2018
- “Towards Deep Modeling of Music Semantics Using EEG Regularizers”, et al 2017
- “Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models”, et al 2017
- “Neural Audio Synthesis of Musical Notes With WaveNet Autoencoders”, et al 2017
- “Tuning Recurrent Neural Networks With Reinforcement Learning”, et al 2017
- “SampleRNN: An Unconditional End-To-End Neural Audio Generation Model”, et al 2016
- “WaveNet: A Generative Model for Raw Audio”, et al 2016
- “The Abc Music Standard 2.1: §3.1.1:
X:—Reference Number”, 2011- “Staring Emmy Straight in the Eye—And Doing My Best Not to Flinch”, 2001
- “Connectionist Music Composition Based on Melodic, Stylistic, and Psychophysical Constraints [Technical Report CU-CS–495–90]”, 1990
- “DarwinTunes”
- “Ai-Forever/music-Composer”
- “Autoregressive Long-Context Music Generation With Perceiver AR”
- “Will AI Take the Pleasure Out of Music?”
- “Qualia Research Institute: The Musical Album of 2024 (v1)”
- “Stream Uncoolbob Aka DarwinTunes”
- “Curious about You”, translucentaudiosynthesis319 2024
- “Sydney Misbehaving”, 2024
- “Waifu Synthesis: Real Time Generative Anime”
- “Composing Music With Recurrent Neural Networks”
- “Old Musicians Never Die. They Just Become Holograms.”
- “‘It’s the Screams of the Damned!’ The Eerie AI World of Deepfake Music Music”
- “Inside the Discord Where Thousands of Rogue Producers Are Making AI Music”
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