Adarsh Kumar retweeted
Very thrilled to say that our paper "ShredGP: Guitarist Style-Conditioned Tablature Generation with Transformers" was accepted for publication at #CMMR2023 🤘 shout out to the team @AdarshKumar_712 @dadabots @matdiffusion
Check the pre-print at:
arxiv.org/pdf/2307.05324.pdf
1/6
Adarsh Kumar retweeted
Really excited to be a part of this 🤘 Our work "GTR-CTRL" is nominated for Best Paper Award at @EvostarConf
Big shout out to the team @AdarshKumar_712 @cortexelation @zzuk_at_aol @dadabots @matdiffusion
#dadaGP
@CDT_AI_Music @c4dm
Awesome talk from @umpedronosapato on controlling the genre and instrumentation of guitar tablature generation, with some great audio examples! @EvostarConf @c4dm
Adarsh Kumar retweeted
🎹🎵Lowkey goated when subword tokenization creates music vibes!🎵🎹 Check out this amazing study by Adarsh Kumar and @umpedronosapato on symbolic music generation: deepai.org/publication/from-… #MusicGeneration
Adarsh Kumar retweeted
Thrilled to share a pre-print of our accepted paper "GTR-CTRL" 🤘 we present two conditional models for guitar tablature generation, on both genre and instrumentation🎸 @dadabots @matdiffusion @AdarshKumar_712
arxiv.org/abs/2302.05393
Adarsh Kumar retweeted
Our paper is finally on arxiv!
Such a pleasure to work with @AdarshKumar_712 @dadabots @affige_yang @matdiffusion
DadaGP: A Dataset of Tokenized GuitarPro Songs for Sequence Models
paper: arxiv.org/abs/2107.14653
symbolic music dataset comprising 26,181 song scores in the GuitarPro format covering 739 musical genres, along with an accompanying tokenized format
Adarsh Kumar retweeted
Very proud to say that our paper "DadaGP: A Dataset of Tokenized GuitarPro Songs for Sequence Models" has been accepted to #ismir2021! Such an amazing team @affige_yang @dadabots @matdiffusion and Adarsh Kumar 🎸🎶🤖 Let's get ISMIR shredding!






