Zobrazeno 1 - 10
of 206
pro vyhledávání: '"Carr CJ"'
Autor:
Parker, Julian D, Smirnov, Anton, Pons, Jordi, Carr, CJ, Zukowski, Zack, Evans, Zach, Liu, Xubo
The tokenization of speech with neural audio codec models is a vital part of modern AI pipelines for the generation or understanding of speech, alone or in a multimodal context. Traditionally such tokenization models have concentrated on low paramete
Externí odkaz:
http://arxiv.org/abs/2411.19842
Open generative models are vitally important for the community, allowing for fine-tunes and serving as baselines when presenting new models. However, most current text-to-audio models are private and not accessible for artists and researchers to buil
Externí odkaz:
http://arxiv.org/abs/2407.14358
Audio-based generative models for music have seen great strides recently, but so far have not managed to produce full-length music tracks with coherent musical structure from text prompts. We show that by training a generative model on long temporal
Externí odkaz:
http://arxiv.org/abs/2404.10301
Generating long-form 44.1kHz stereo audio from text prompts can be computationally demanding. Further, most previous works do not tackle that music and sound effects naturally vary in their duration. Our research focuses on the efficient generation o
Externí odkaz:
http://arxiv.org/abs/2402.04825
Recent work in the field of symbolic music generation has shown value in using a tokenization based on the GuitarPro format, a symbolic representation supporting guitar expressive attributes, as an input and output representation. We extend this work
Externí odkaz:
http://arxiv.org/abs/2307.05328
GuitarPro format tablatures are a type of digital music notation that encapsulates information about guitar playing techniques and fingerings. We introduce ShredGP, a GuitarPro tablature generative Transformer-based model conditioned to imitate the s
Externí odkaz:
http://arxiv.org/abs/2307.05324
Publikováno v:
EvoMUSART: International Conference on Computational Intelligence in Music, Sound, Art and Design (Part of EvoStar) 2023
Recently, symbolic music generation with deep learning techniques has witnessed steady improvements. Most works on this topic focus on MIDI representations, but less attention has been paid to symbolic music generation using guitar tablatures (tabs)
Externí odkaz:
http://arxiv.org/abs/2302.05393
Originating in the Renaissance and burgeoning in the digital era, tablatures are a commonly used music notation system which provides explicit representations of instrument fingerings rather than pitches. GuitarPro has established itself as a widely
Externí odkaz:
http://arxiv.org/abs/2107.14653
Autor:
Zukowski, Zack, Carr, CJ
Publikováno v:
NIPS Workshop on Machine Learning for Creativity and Design (2017)
We use a modified SampleRNN architecture to generate music in modern genres such as black metal and math rock. Unlike MIDI and symbolic models, SampleRNN generates raw audio in the time domain. This requirement becomes increasingly important in moder
Externí odkaz:
http://arxiv.org/abs/1811.06639
Autor:
Carr, CJ, Zukowski, Zack
Publikováno v:
Proceedings of the 6th International Workshop on Musical Metacreation (MUME 2018)
This early example of neural synthesis is a proof-of-concept for how machine learning can drive new types of music software. Creating music can be as simple as specifying a set of music influences on which a model trains. We demonstrate a method for
Externí odkaz:
http://arxiv.org/abs/1811.06633