Satvik Venkatesh
@SatvikVenkatesh
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Deep Learning Engineer at @L_ACOUSTICS. Formerly @merl_news and @PlymUni. Research on ML for Audio and Music.
London, England
Joined August 2018
📣We're hiring a Deep Learning Engineer at @L_ACOUSTICS 🔊🎶! Are you passionate about audio, machine learning, and real-world impact? Join our team in London to help shape the future of immersive sound experiences. https://t.co/hs4Zq6vlrb
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``How much to Dereverberate? Low-Latency Single-Channel Speech Enhancement in Distant Microphone Scenarios,'' Satvik Venkatesh, Philip Coleman, Arthur Benilov, Simon Brown, Selim Sheta, Frederic Roskam,
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Hi all. Today I'll be presenting our paper on low-latency Speech Enhancement and Dereverberation at 2:54 pm in Room MR1.02. @ieeeICASSP
https://t.co/xR3B9CY8p7
#icassp2025
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All set for the show-and-tell demo starting now in hall D2 pitch A! Tomorrow Wed at 1:10 pm, I’m presenting our paper on real-time low-latency demixing in room 101. I look forward to meeting you all! #icassp2024 @ieeeICASSP
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Dear @ieeeICASSP, I am not receiving a response from the ICASSP secretariat for Korean Visa. I have been trying to get a Visa letter and business registration certificate for almost a month (requested by the Korean embassy). But I get a “standard template” response. #ICASSP2024
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Hi all. I'm pleased to share our paper accepted to @ieeeICASSP; on real-time low-latency music source separation. Thanks to my co-authors @archie3dwtf, @drpcoleman, @roskit and other colleagues at @L_ACOUSTICS for making this research happen! #ICASSP2024
``Real-time Low-latency Music Source Separation using Hybrid Spectrogram-TasNet,'' Satvik Venkatesh, Arthur Benilov, Philip Coleman, Frederic Roskam,
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Big thanks to my supervisors @bio_computer @djmoffat
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#Highlyviewedpaper 📚 You Only Hear Once: A #YOLO-like Algorithm for #AudioSegmentation and Sound Event Detection 🔗 https://t.co/puMH2LDwdR 🏫 @PlymUni 👨🔬 By Mr. Satvik Venkatesh et al.
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Goodbye Plymouth. It's been an amazing 6 years. I've learnt so much during my Master's degree and PhD. Thank you @bio_computer @djmoffat @EdBraund for being such amazing supervisors!!
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Glad to share that our paper on using Word Embeddings for EQ Mixing is published in the Journal of the Audio Engineering society! Looks like they forgot we wanted Open Access :D It is available in the link below: https://t.co/xZPrhiAVd8
There is a wonderful new paper on using natural language words to describe audio effects "Word Embeddings for Automatic Equalization in Audio Mixing", by @SatvikVenkatesh published in @AESorg Journal https://t.co/vqPlb3GgC0
#audio #aes #research #mixing #semanticaudio #afx #PhD
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Hot off the presses! We have a #NewArticleAlert! SSVEP-based brain-computer interface for music using a low-density EEG system, from @SatvikVenkatesh Eduardo Reck Miranda & @EdBraund
https://t.co/TPGDrb7TiT
#AssistiveTechnology #HCI #accessibility
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New article on Music Production Semantic and how language is used to describe different audio effect - The largest study ever conducted! https://t.co/UfuvXYA8F9
@IntelSoundEng @BrechtDeMan @AESorg #Audio #musicproduction #semantics #audioeffects #research #openaccess
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Our paper on creating a brain-computer interface(BCI) for a person with motor-impairments is out! She regularly uses it for musical composition at home, demonstrating how BCIs can be translated from laboratories to the real-world. https://t.co/dbc0cmhrFr
@bio_computer @EdBraund
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Pleased to share that we ranked 5th amongst 33 teams at the @DCASE_Challenge task 2. It was an amazing experience working with Gordon Wichern, @S_Aswin19 , and @JonathanLeRoux as a research intern at @merl_news . Thanks for this opportunity! https://t.co/ZJl133fLEC
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It feels great to see that our "You Only Hear Once (YOHO)" algorithm has been evaluated by a workshop paper at @NeurIPSConf. Looks like it has advantages in noisy audio. Thanks to the study by Soham Tiwari et al. https://t.co/kwmToiFD9k
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I have been teaching C++ programming for the past 6 weeks. I have now realised the amount of time and effort that goes into preparing each lecture. I sincerely thank all my teachers for their patience and effort gone into every explanation 🙏
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Don't forget to submit your proposal by 1 October! Open to all Music research students.
6-8 January 2022 The 2022 BFE/RMA Research Students' Conference will take place in Plymouth! https://t.co/ltwQ5Ockne
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Happy to share our preprint on a novel #algorithm for #sound event detection that generalizes better and is faster. It is now a #regression task instead of frame-based #classification. @djmoffat @bio_computer
#AudioSegmentation #SoundEventDetection
``You Only Hear Once: A YOLO-like Algorithm for Audio Segmentation and Sound Event Detection. (arXiv:2109.00962v1 [ https://t.co/3pcQCkeyAA]),'' Satvik Venkatesh, David Moffat, Eduardo Reck Miranda,
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