- π¬ 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.
- π 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.
- π± I am also looking to learn new deep learning tasks, such as spoken language understanding and automatic speech recognition.
- π Pronouns: he/him
- π« How to reach me: [email protected]
PhD in computer science, focused on automated audio captioning. Always looking to learn new things about deep learning. I also like hot chocolate and my cats.
-
IRIT
- Toulouse, France
-
04:53
(UTC +01:00) - labbeti.github.io
- https://orcid.org/0000-0002-7219-5463
Pinned Loading
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aac-metrics
aac-metrics PublicMetrics for evaluating Automated Audio Captioning systems, designed for PyTorch.
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dcase2024-task6-baseline
dcase2024-task6-baseline PublicDCASE2024 Challenge Task 6 baseline system (Automated Audio Captioning)
Python 5
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torchoutil
torchoutil PublicCollection of functions and modules to help development in PyTorch.
Python 2
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conette-audio-captioning
conette-audio-captioning PublicCoNeTTE: An efficient Audio Captioning system leveraging multiple datasets with Task Embedding
Python 14
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