QMUL_IntelSoundEng

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QMUL_IntelSoundEng

QMUL_IntelSoundEng

@IntelSoundEng

Musings about music production, psychoacoustics, sound synthesis & anything else interesting, from the Centre 4 Digital Music's Audio Engineering research team.

London, England 가입일 Temmuz 2017
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Christian Steinmetz
Christian Steinmetz@csteinmetz1·
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.
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Christian Steinmetz
Christian Steinmetz@csteinmetz1·
Vocal Tract Area Estimation by Gradient Descent Proposes a method to estimate the parameters for an articulatory (voice) synthesizer using gradient descent. This approach is compared to black-box methods and found to sound more accurate. arxiv.org/abs/2307.04702
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Kasia Adamska
Kasia Adamska@kasiadamskax·
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
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Kasia Adamska
Kasia Adamska@kasiadamskax·
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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