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Labbeti/README.md

Hi there πŸ‘‹

  • πŸ’¬ I hold a PhD in Computer Science, with a primary research focus on artificial intelligence applied to audio analysis and natural language processing. My doctoral dissertation concentrated on Automated Audio Captioning, a multimodal task aimed at developing systems capable of generating natural language sentences to describe audio files.
  • πŸ”­ I am currently working on the TIRIS-SILENCE project, which aims to study and extract information from audio files recorded in extreme environments such as Mars.
  • 🌱 I am also looking to learn new deep learning tasks, such as spoken language understanding and automatic speech recognition.
  • πŸ˜„ Pronouns: he/him
  • πŸ“« How to reach me: labbeti.pub@gmail.com

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  1. aac-datasets aac-datasets Public

    Audio Captioning datasets for PyTorch.

    Python 104 6

  2. aac-metrics aac-metrics Public

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

    Python 34 3

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

    DCASE2024 Challenge Task 6 baseline system (Automated Audio Captioning)

    Python 4

  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 13

  6. SSLH SSLH Public

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

    Jupyter Notebook 9 1