- π¬ 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.
- π I am currently writing on my thesis and plan to defend it in 2024.
- 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: labbeti.pub@gmail.com
PhD student working on Automated Audio Captioning. I am also interested in computer vision, speech recognition and natural language processing.
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IRIT
- Toulouse, France
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13:37
(UTC +02:00) - 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 3
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torchoutil
torchoutil PublicCollection of functions and modules to help development in PyTorch.
Python 1
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conette-audio-captioning
conette-audio-captioning PublicCoNeTTE: An efficient Audio Captioning system leveraging multiple datasets with Task Embedding
Python 12
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