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Posts tagged #ICASSP

🚀 Excited to announce the HSCMA+CHiME 2026 Satellite Workshop at #ICASSP!
Submission deadline is coming up soon: 22 October. Don’t miss your chance to contribute!
Find all the details here: sites.google.com/view/hscmach...

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GRETSI 2022 - Apprentissage (profond) et Physique Statistique
GRETSI 2022 - Apprentissage (profond) et Physique Statistique YouTube video by GRETSI

#GRETSI2025, #EUSIPCO2025 sont terminés, la soumission à #ICASSP révolue, il fait gris. Abonner-vous à la chaîne YouTube #GRETSI @gretsi6095, et visionnez par exemple Lenka Zdeborova (Professeur EPFL), "Apprentissage (profond) et Physique Statistique"

youtu.be/yLFQUuVcC_0?...

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Similarity-Guided Diffusion Improves Long-Gap Music Inpainting

Similarity-Guided Diffusion Improves Long-Gap Music Inpainting

SimDPS boosts long‑gap music inpainting, delivering more plausible reconstructions than unguided diffusion in piano tests with two‑second gaps. The work was submitted to IEEE ICASSP 2026. Read more: getnews.me/similarity-guided-diffus... #simdps #icassp

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🌱 The takeaway: model selection is critical for real-world conversational AI.

📄 Full paper & code: mariateleki.github.io/pdf/HorrorCo...

#SpeechProcessing #ConversationalAI #VoiceAI #Disfluency #SpokenLanguage
#INTERSPEECH #ICASSP

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Very interesting slide shared last week at the SALMA workshop at #ICASSP, presented by Sreyan Ghosh. Pretty mind-blowing the rate of progress of Audio-Language Models in the past few years!

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On my way to Hyderabad to join #ICASSP

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Globally Normalizing the Transducer for Streaming Speech Recognition The Transducer (e.g. RNN-Transducer or Conformer-Transducer) generates an output label sequence as it traverses the input sequence. It is straightforward to use in streaming mode, where it generates p...

Your streaming speech recognizer is probably mathematically flawed, degrading its accuracy. Ask me to explain how to fix this next week in the Thursday morning poster session at #ICASSP, or look at ieeexplore.ieee.org/abstract/doc...

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I have emailed @interspeech.bsky.social, but it would be great if you could also reach out to them at pco@interspeech2025.org if this concerns you as well, so they understand that this will affect many people. I’m sure none of us want to be stuck writing a rebuttal in a hotel at #ICASSP!

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@interspeech.bsky.social just changed its rebuttal period to April 4-11, which overlaps with #ICASSP.

Given the overlap in research communities, I believe many researchers who submitted to #Interspeech2025 will also be attending #ICASSP2025. Could it be at least a week later?

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Multimodal Machine Learning Can Predict Videoconference Fluidity and Enjoyment Videoconferencing is now a frequent mode of communication in both professional and informal settings, yet it often lacks the fluidity and enjoyment of in-person conversation. This study leverages mult...

Excited to share that our paper, "Multimodal Machine Learning Can Predict Videoconference Fluidity and Enjoyment," has been accepted for an **oral presentation** at #ICASSP! ieeexplore.ieee.org/document/108...
@dustinfreeman.bsky.social @davidpoeppel.bsky.social
1/n

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What's up with the invitation letters for the India visa for those who are traveling to ICASSP this year? The conference is less than a month away and we still haven't received our letters. I suspect many registered participants won't be able to attend because of that :/ #ICASSP

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Our #ICASSP paper "Hybrid Losses for Hierarchical Embedding Learning" by Haokun Tian et al. is now online! 💫

We assess the organization of a hierarchical embedding space using different (combinations of) losses and improve on the SOTA.

📜 Paper: arxiv.org/pdf/2501.12796

#SonyCSLParis

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Our #ICASSP paper "Estimating Musical Surprisal in Audio" is now online. 😯 <- surprised 😁

Great work by Mathias Bjare and Giorgia Cantisani! 👏

We use an autoregressive transformer and Gaussian mixture models to estimate the information content in music2latent representations. 🧵👇

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😃 Accepted #ICASSP papers of Sony CSL Music Team:

Accompaniment Prompt Adherence: A Measure for Evaluating Music Accompaniment Systems
M. Grachten, J. Nistal

Estimating Musical Surprisal in Audio
M. Bjare, G. Cantisani, S. Lattner and G. Widmer

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Original post on mastodon.social

We have 2 research papers accepted to present at #ICASSP in Hyderabad! You can read the preprints:
"LHGNN: Local-Higher Order Graph Neural Networks For Audio Classification and Tagging" led by Shubhr Singh https://arxiv.org/abs/2501.03464
"Acoustic identification of individual animals with […]

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2 Papers accepted at #ICASSP25 🇮🇳 hope to see you in india!

- MambaFoley: Foley Sound Generation using Selective State-Space Models (arxiv.org/pdf/2409.09162)

- Towards HRTF Personalization using Denoising Diffusion Models (arxiv soon)
#ICASSP25 #ICASSP #generativeai

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