Explore tweets tagged as #WASPAA
All three papers from our project have been accepted to WASPAA⛰️!!. Miipher-2.ReverbMiipher.FLOSS.
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One paper got accepted to WASPAA 2025!. “Is MixIT Really Unsuitable for Correlated Sources? Exploring MixIT for Unsupervised Pre-training in Music Source Separation”. 📃Paper: We will publish the code and pre-trained models soon. See you in Tahoe!.
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3 papers have been accepted to WASPAA 2025 ⛰️ Congrats to all the colleagues 🎉.👂 HRTF individualization from anthropometric features.🔊 Source and sensor placement for sound field control.🎙️ Deep prior NN for sound field reconstruction.
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少し先ですが、以下の論文を発表予定です. よろしくお願いします！. Interspeech: EUSIPCO: WASPAA:
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Our paper "Is MixIT Really Unsuitable for Correlated Sources? Exploring MixIT for Unsupervised Pre-training in Music Source Separation" written by @kohei_1979 is accepted for IEEE WASPAA 2025!.Congratulations🎉🎉🎉.
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Stable Audio Open Small is accepted at #WASPAA2025 @IEEE_WASPAA ! . Can't wait to share the latest in blazingly fast, on-device text-to-audio in Lake Tahoe 🏞️.
Stability AI just dropped Stable Audio Open Small on Hugging Face. Fast Text-to-Audio Generation with Adversarial Post-Training
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Our paper "Kernel ridge regression based sound field estimation using a rigid spherical microphone array" has been accepted to WASPAA 2025🎉.Congrats and huge thanks to my co-authors🎉 .See you in Lake Tahoe⛰️.
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Unofficial mood meter of some audio conferences. Red: ISMIR, ICML.Orange : WASPAA, DAFX.Blue : IEEE ICASSP.Dark blue: IEEE MLSP. Green: GRETSI, CNRS workshops.Yellow: DLfM, Timbre, Lorentz workshops, probably Dagstuhl (never been).Bright yellow: SANE. (to be updated)
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kaaaa nmprrr waspaa kabuuu brapaa, 08 brapaaaa, cefaatttt, akuuu ahajsbsus ganteeenggggggg bangettt, aktraktif bgterttt siaaaalllll, dgegdgenya masihhh samaaaa duh gmterrrr, mcintaimjuuu gmetreee hiuiiuuuuuuuuu 😭😭😭😭😭😭😭😭😭😭😭😭😍😍😍😍😍😍😍😍😍😍😍😍😍😍
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An objective evaluation of Hearing Aids and DNN-based binaural speech enhancement in complex acoustic scenes has been accepted to WASPAA 🙂. We train Sudo-RM-RF models on a synthetic binaural hearing aids dataset and apply them to recordings of real hearing aid devices in bypass:
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General Purpose Audio Effect Removal. We formalize the task of removing multiple audio effects at once and propose a compositional approach that dynamically combines multiple effect removal models at inference using a pretrained classifier. (WASPAA 2023)
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音声復元法 Miipher が WASPAA に採択されました。LibriTTS-R に使った���法で、劣化音声をスタジオ品質に変換します。ほぼ無尽蔵に音生成の学習データを生み出せる魔法のような手法です。（arXiv は近々 camera ready版に更新します）. Demo: Paper:
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@saurjyasarkar asking the real questions at WASPAA 2023. Music souce separation is a solved problem and no one should work on it, right?
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Honoured to receive the "Best Student Paper" award at @IEEE_WASPAA for our work titled "Leveraging Synthetic Data for Improving Music Ensemble Separation" 🥹🎊🥂🥳. What a nice surprise to wrap up my PhD with :)) yay!
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@csteinmetz1 and @mattricesound bagging the "Best Paper Award' at @IEEE_WASPAA for the second time in a row! . Context: there were 3 best student paper awards and 1 best paper award. They won best paper while also being students. Massive!
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まずは別の案件が先だけど、その後コレをPyInstallerでアプリにしようかな。 | GitHub - jeonchangbin49/De-limiter: An official repository of "Music De-limiter Networks via Sample-wise Gain Inversion", which will be presented in WASPAA 2023.
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We are very pleased to announce that our students @saurjyasarkar and @csteinmetz1 / @mattricesound won "Best Student Paper Award" and "Best Paper Award", respectively, at @IEEE_WASPAA!
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Speech restoration method Miipher (used to generate LibriTTS-R) has been accepted to WASPAA!! It converts degraded speech to studio quality, and generates almost inexhaustible training data for speech generation. Demo: Paper:
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