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I am thrilled to announce our paper “Feedback Recurrent AutoEncoder” was accepted at
#ICASSP2020! collaboration with Yang Yang,@TacoCohen and Jon Ryu. https://arxiv.org/abs/1911.04018 . A quick thread.Prikaži ovu nit -
Our paper for accurate and scalable music version identification has been accepted to
#ICASSP2020 as an oral presentation! The code and the pre-trained models of MOVE are now available! with@serrjoa and@emiliagogu paper: https://arxiv.org/abs/1910.12551 code:https://github.com/furkanyesiler/move … -
I'm happy to announce our latest work on self-supervised learning for
#speech. PASE+ is based on a multi-task approach useful for#speech recognition. It will be presented at#ICASSP2020. paper: https://arxiv.org/abs/2001.09239 code: https://github.com/santi-pdp/pase @Mila#deeplearning#AIpic.twitter.com/ynWReEHGn4
Prikaži ovu nit -
Our paper on "SINGING VOICE CONVERSION WITH DISENTANGLED REPRESENTATIONS OF SINGER AND VOCAL TECHNIQUE USING VARIATIONAL AUTOENCODERS" got accepted by
#ICASSP2020 a model jointly tackles non-parallel, many-to-many conversion of singer identity and vocal techniques -
Check out our paper accepted for
#ICASSP2020! https://arxiv.org/pdf/1911.01806.pdf … It is focused on decomposing speech signals into paralinguistic factor e.g. speaker ID and linguistic factor e.g. phonemes, without utilising transcribed data. Suitable for low-resource and zero-resource ASR -
Our paper titled "Teacher-Student Training for Robust Tacotron-based TTS" is accepted by
#ICASSP2020 for oral presentation.
Such a nice way to start this weekend!
Paper: https://arxiv.org/abs/1911.02839
Speech Samples: https://ttslr.github.io/ICASSP2020/
#nushlt#speechscience#MachineLearning -
For those of you freaking out about
@ieeeICASSP paper submission link no longer working, I believe you can still revise submitted papers at https://cmsworkshops.com/ICASSP2020/Papers/FindPaper.asp …. I'm in touch with the chairs to clarify the situation.#ICASSP2020#WASPAA2019 -
In Omilia we are happy that our paper on end-to-end neural architectures for spoken language understanding has been accepted as oral at
#ICASSP2020! See you in Barcelona! https://arxiv.org/abs/1910.10599 -
Five papers (including three first author) have been accepted to
#ICASSP2020 ! One is our SP Lettres that proposed a simple extension of the well known Griffin-Lim algorithm. Please check it! https://ieeexplore.ieee.org/abstract/document/8552369 … -
Call for Papers -
#ICASSP2020: Deadline = Oct 21. In Barcelona https://2020.ieeeicassp.org/authors/call-for-papers/ … -
Super excited to hear that my paper on confidence scores for black-box speech recognition has been accepted to
#ICASSP2020! Paper: https://arxiv.org/pdf/1910.11933.pdf … Code:https://github.com/alecokas/BiLatticeRNN-Confidence … -
@corsmal Paper accepted at#ICASSP2020 "Multi-view shape estimation of transparent containers" Pre-print (ArXiv): https://arxiv.org/pdf/1911.12354.pdf … -
6 papers of
#ClovaAI were accepted to#icassp2020. You can see the papers: https://clova-ai.blog/publication-list/ … Congrats to all Clova AI authors!Prikaži ovu nit -
My paper “Improving the chronological sorting of images through occlusion: A study on the Notre-Dame Cathedral Fire” was accepted to
#ICASSP2020 ! This is my first accepted paper as a PhD Student! So happy

Follow the thread for a summary or check http://bit.ly/improvingNotreDame …Prikaži ovu nit -
Nine papers from our lab. have been accepted to
#ICASSP2020 ! Four papers in multi/single-channel source separation, Three papers in speech synthesis and conversion, and two papers in sound field reproduction. Congratulations! -
We're happy to announce the DESED dataset (used in
#DCASE2019 task 4)! More information: https://project.inria.fr/desed/ The dataset was used in two papers accepted to#ICASSP2020: - https://hal.inria.fr/hal-02355573 - https://hal.inria.fr/hal-02467401 Looking forward to discussing with you in Barcelona! -
Submitted a manuscript to
#ICASSP2020. Feeling nervous and excited at the same time...hoyeehhhh https://2020.ieeeicassp.org/authors/call-for-papers/ … -
Calibration error is often used to evaluate uncertainty estimators in neural nets. Our new paper shows calibration is an effective learning objective for deep regression models. Joint work with
@BindyaVenkatesh@deepdanscience#ICASSP2020 Link: https://arxiv.org/pdf/1910.14175.pdf … -
Paper accepted at
#ICASSP2020
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We are proud to be a Diamond sponsor of
@ieeeICASSP.#ICASSP2020 https://2020.ieeeicassp.org/patrons-and-exhibitors/icassp-2020-patrons/ …
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