interested in music technology research | Hindustani music student | PhD student MIT

Joined October 2019
6 Photos and videos
Nithya Nadig Shikarpur retweeted
Replying to @huangcza
@huangcza @iansimon @notwaldorf tiny labor of love to revive an old model ♡ kylemcdonald.github.io/Music…

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New diffusion model music instruments? Yes, please!
Can we transform offline audio diffusion into real-time streaming interactive instruments? Yes! Presenting Live Music Diffusion Models: a new paradigm for taking your favorite open models into live performance, right on your own laptop! 🎵🎵 🧵
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Nithya Nadig Shikarpur retweeted
Excited to announce our ICASSP 2026 paper "Stemphonic: All-at-once Flexible Multi-stem Music Generation" ! w/ @__gzhu__, @j_p_caceres, @huangcza, and @NicholasJBryan 🔊Demo stemphonic-demo.vercel.app 📰Paper arxiv.org/abs/2602.09891 More details in🧵
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Nithya Nadig Shikarpur retweeted
Thrilled to announce “MIDI-LLM: Adapting LLMs for Text-to-MIDI Music Generation” w/ @huangcza and Yoon Kim! 🎸 Live Demo midi-llm-demo.vercel.app 💻 github.com/slSeanWU/MIDI-LLM 🤗 huggingface.co/slseanwu/MIDI… From a text prompt, it generates MIDIs you can edit directly in a DAW 🧵
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Nithya Nadig Shikarpur retweeted
28 Oct 2025
How do we design real-time audio jamming models, and do we have the right data? Our new arXiv preprint studies the design and its tradeoffs. Paper: arxiv.org/abs/2510.22105 Audio samples & code: lukewys.github.io/stream-mus…
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This is happening tomorrow from 9am to 12 pm and 1 pm-4 pm in East Ballroom C! You can come and interact with our model too!! 🎤 Hope to see you there :) #NeurIPS2024
We studied some musicians interacting with GaMaDHaNi, a generative model for Hindustani vocal music 🎤! I am so excited to present this work at @NeurIPSConf @ML4CDworkshop this week! 📝arxiv.org/abs/2411.13846 🎧cedar-decade-974.notion.site… An example interaction with the model:
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We studied some musicians interacting with GaMaDHaNi, a generative model for Hindustani vocal music 🎤! I am so excited to present this work at @NeurIPSConf @ML4CDworkshop this week! 📝arxiv.org/abs/2411.13846 🎧cedar-decade-974.notion.site… An example interaction with the model:
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While the model presents exciting directions for creative explorations and human-AI partnerships, this work notes the experiences of musicians to inform the model's future development! More information on the generative model: x.com/NithyaIsMe/status/1851…

We built a hierarchical generative model to sing Hindustani vocal melodies 🎤! We will be presenting this work at ISMIR 2024! @ISMIRConf 📝Paper: arxiv.org/abs/2408.12658 💻Code: github.com/snnithya/GaMaDHaN… 👩🏽‍💻Demo: huggingface.co/spaces/snnith… 🎧Samples: snnithya.github.io/gamadhani…
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Work done with @huangcza at @Mila_Quebec and Université de Montréal!
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I'm going to be at ISMIR @ISMIRConf in SF from Nov 10-14! Looking forward to chat and discuss research with friends, old and new 🥳 #ISMIR2024
We built a hierarchical generative model to sing Hindustani vocal melodies 🎤! We will be presenting this work at ISMIR 2024! @ISMIRConf 📝Paper: arxiv.org/abs/2408.12658 💻Code: github.com/snnithya/GaMaDHaN… 👩🏽‍💻Demo: huggingface.co/spaces/snnith… 🎧Samples: snnithya.github.io/gamadhani…
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We built a hierarchical generative model to sing Hindustani vocal melodies 🎤! We will be presenting this work at ISMIR 2024! @ISMIRConf 📝Paper: arxiv.org/abs/2408.12658 💻Code: github.com/snnithya/GaMaDHaN… 👩🏽‍💻Demo: huggingface.co/spaces/snnith… 🎧Samples: snnithya.github.io/gamadhani…
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Intending to use this model for interactive human-AI generation, we present two possible use cases with our model: (1) primed generation and (2) coarse pitch conditioning. Learn more and play around with these interactions in our demo (huggingface.co/spaces/snnith…)!
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Work done with the dream team @maneeshadkr @wuyusongwys @huangcza @antoine_caillon!!
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This looks so cool! Excited to play around with this soon 🥳 Just fyi, seems like this video on the website doesn't have audio enabled @pika_labs @demi_guo_
28 Nov 2023
Introducing Pika 1.0, the idea-to-video platform that brings your creativity to life. Create and edit your videos with AI. Rolling out to new users on web and discord, starting today. Sign up at pika.art
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Nithya Nadig Shikarpur retweeted
🚨Understanding In-Context Learning: 1. Pretrained LLMs can implement learning algorithms to learn from data in-context. 2. Transformers can encode multiple algorithms for the same task and use one based on context at inference time. 3. Attention-free models also exhibit ICL.
Recently, Transformers have been shown to implement learning algorithms in-context. Key questions: What are their limits? Can they exploit informative examples to learn more efficiently? How does this relate to pretrained LLMs? Our new preprint explores these questions. 🧵
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Today @snpranav and I got into an argument over how frustrating it would be for the speed of a song to constantly change as a function of time. To settle it, I decided to use Bespoke to control the speed of 'Spain' by Chick Corea based on a modified sine wave :)
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Tap along and let me know how (not so) annoying you find it to be 😌
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Nithya Nadig Shikarpur retweeted
Last week, @imnotfady and I built KarenAI for the @bitcmp hackathon. KarenAI - your personal Karen that can help you dispute your credit card transactions, get sh*t done with customer support, and let you speak with a manager at the touch of a button using Ai! 🧵👇
12 Apr 2023
Replying to @imnotfady
Like Karens, it can get a bit rude sometimes... We then deployed KarenAI using @Gradio! Shoutout to @_akhaliq 🫡
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