QMUL_IntelSoundEng @IntelSoundEng
Musings about music production, psychoacoustics, sound synthesis & anything else interesting, from the Centre 4 Digital Music's Audio Engineering research team. …lligentsoundengineering.wordpress.com London, England Joined July 2017-
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QMUL_IntelSoundEng retweeted
🌟 Excited to Share Our Latest Work! 🎥🎶 Here we present Stable-V2A: Synthesis of Synchronized Sound Effects with Temporal and Semantic Controls arxiv: arxiv.org/abs/2412.15023 web: ispamm.github.io/Stable-V2A
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Enhanced procedural action sounds for Unreal – out now! Get it from fab.com/listings/28fa9… youtu.be/C52EE0ELk0M
Nemisindo Action Pack 2.0 - coming soon! youtu.be/5pjzUmgiB0w?si… via @YouTube
Our spin-out, nemisindo.com releases new procedural audio for the Unreal Engine
QMUL_IntelSoundEng retweeted
SyncFusion: Multimodal Onset-synchronized Video-To-Audio Foley Synthesis. We use onsets extracted from silent videos and audio/text embeddings to condition a diffusion model for synchronized sound effects synthesis. arxiv: arxiv.org/abs/2310.15247 web: mcomunita.github.io/diffusion-sfx_…
QMUL_IntelSoundEng retweeted
This was work done during an internship @tapeitapp. A special thanks to my collaborator Thomas Walther and my advisor Josh Reiss (@IntelSoundEng). We will present this work at the upcoming AES Convention. Stop by if you are interested in controlling DSP with neural networks.
QMUL_IntelSoundEng retweeted
AI in music production: controversy & opportunity ow.ly/G8uV50Pefve @IntelSoundEng
@DrTBehrens @csteinmetz1 Stay tuned for some new results in just that direction 😀 !
QMUL_IntelSoundEng retweeted
Fuzz is not just a type of distortion effect, here we show why and in our #ICASSP2023 paper we capture its long-range input dependencies. Works for compression too. paper: ieeexplore.ieee.org/document/10097… web: mcomunita.github.io/gcn-tfilm_page vst: neutone.space/model/?id=9950…
QMUL_IntelSoundEng retweeted
Modulation Extraction for LFO-driven Audio Effects Happy to share our work on extracting arbitrary LFO signals and modeling unseen audio effects! arXiv: arxiv.org/abs/2305.13262 web: christhetr.ee/mod_extraction/ code: github.com/christhetree/m… @csteinmetz1 @marcomunita @IntelSoundEng
QMUL_IntelSoundEng retweeted
Congratulations to 🇸🇪 🇫🇮 🇮🇱 🇮🇹 🇳🇴 🇪🇪 🇨🇿 , who I correctly predicted would finish in the top ten! However, not everything about #Eurovision can be predicted. In the upcoming days, I'll be delving deeper into the results of my study. #PhD @QMEECS @bbceurovision @Eurovision
QMUL_IntelSoundEng retweeted
Who will qualify to the Grand Final from the Eurovision 2nd Semi-Final tonight? 🎶I trained three models to predict which countries are the most likely to qualify. Will 🇨🇾 , 🇦🇲 , 🇵🇱 , 🇮🇸 , 🇦🇱 , 🇪🇪 , 🇬🇷 , 🇦🇹 and 🇷🇴 be going to the final? #Eurovision #Eurovision2023
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