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Labbeti/README.md

Hi there 👋

  • 💬 Short bio: I am a third year PhD student currently working on Artificial Intelligence for computational analysis of audio events using deep learning methods. My research focuses on Automated Audio Captioning, a multimodal task where a system accepts as an input an audio signal and outputs the textual description of the sound events. I am currently working at the Computer Science Research Institute of Toulouse, in France.
  • 🔭 I am currently writing on my thesis and plan to defend it in 2024.
  • 🌱 I am also looking to learn new deep learning tasks, such as spoken language understanding and automatic speech recognition.
  • 😄 Pronouns: he/him
  • 📫 How to reach me: labbeti.pub@gmail.com

Pinned

  1. aac-datasets aac-datasets Public

    Audio Captioning datasets for PyTorch.

    Python 87 5

  2. aac-metrics aac-metrics Public

    Metrics for evaluating Automated Audio Captioning systems, designed for PyTorch.

    Python 23 3

  3. dcase2024-task6-baseline dcase2024-task6-baseline Public

    DCASE2024 Challenge Task 6 baseline system (Automated Audio Captioning)

    Python 2

  4. torchoutil torchoutil Public

    Collection of functions and modules to help development in PyTorch.

    Python 1

  5. conette-audio-captioning conette-audio-captioning Public

    CoNeTTE: An efficient Audio Captioning system leveraging multiple datasets with Task Embedding

    Python 7

  6. SSLH SSLH Public

    Deep Semi-Supervised Learning with Holistic methods for audio classification.

    Jupyter Notebook 8 1