Rezultati pretraživanja
  1. prije 2 sata
  2. prije 10 sati

    Our recently accepted paper at on neural multichannel speech enhancement is available on arxiv: , which shows connection between channel attention mechanism and classical beamforming!

  3. 1. velj

    Quite happy to share that our work on combining SincNet with the CTC+Attention training procedure for E2E ASR from the raw waveform has been accepted at . Paper: Code:

  4. 31. sij

    Congratulations to Benjamin Lentz, Anil Nagathil, Johannes Gauer, and Rainer Martin for their accepted paper on HARMONIC/PERCUSSIVE SOUND SEPARATION AND SPECTRAL COMPLEXITY REDUCTION OF MUSIC SIGNALS FOR COCHLEAR IMPLANT LISTENERS

  5. 31. sij

    Clotho audio captioning dataset will be presented in IEEE ! Join us to learn more about the novel and exciting task of audio captioning! Clotho is freely available:

  6. 30. sij

    Congratulations to Stefan Thaleiser and Gerald Enzner for their accepted paper "A COMPUTATIONALLY LIGHT ALGORITHM FOR BAYESIAN SPEECH ENHANCEMENT WITH SNR MARGINALIZATION"

  7. 29. sij
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  8. 29. sij

    Work on training models from generated images has been accepted at

  9. 29. sij

    I am co-author of 3 papers but not presenting but as it is in Barcelona I though ok, let's go. Early rate €866.07 makes me think twice, not very accessible for Spanish researchers :-(

  10. 29. sij

    Glad to announce a new work with my student Sudhakar Kumawat in 2020 - "Depthwise-STFT based separable Convolutional Neural Networks". Arxiv version:

  11. 28. sij
    Odgovor korisniku/ci

    Awesome - we have quite a few papers from our team as well. See you at

  12. 28. sij

    I'm going to IEEE International Conference on Acoustics, Speech & Signal Processing (ICASSP 2020), May 4-8 in Barcelona, Spain. Join me!

  13. 28. sij

    Our paper "Multi-scale Octave Convolutions for Robust Speech Recognition" has been accepted to ! See you in Barcelona :)

  14. 28. sij

    I'm a big fan of self-supervised deep learning. I think it will be widely adopted in the future in many fields, including speech. Maybe this will contribute to "make pre-training great again"! hahaha

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  15. 28. sij

    PASE+ is an improved version of PASE for robust speech recognition. We employ an online speech distortion module, a revised encoder that better learns short- and long-term speech dynamics, and a refined the set of workers that encourage better cooperation.

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  16. 28. sij

    I'm happy to announce our latest work on self-supervised learning for . PASE+ is based on a multi-task approach useful for recognition. It will be presented at . paper: code: @Mila

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  17. 28. sij

    6 papers of were accepted to . You can see the papers: Congrats to all Clova AI authors!

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  18. 28. sij

    Our paper related to semantic embeddings of visually grounded speech has been accepted to . Content coming soon.

  19. 27. sij

    Accepted as oral for

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  20. 27. sij
    Odgovor korisniku/ci

    Hola, there is your unroll: Thread by : I am thrilled to announce our paper “Feedback Recurrent AutoEncoder” was accepted at !… . See you soon. 🤖

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