معرفی
Antoine Laurent is a researcher specializing in automatic speech recognition (ASR) and machine learning. His work focuses on acoustic modeling, language model adaptation, and concept extraction from speech signals, with an emphasis on resource-constrained scenarios where data scarcity necessitates knowledge transfer between domains and tasks. He has contributed to decoding strategies, parameterization, and robustness in ASR systems.
Research Interests
- Acoustic modeling and parameterization
- Unsupervised/semi-supervised learning for ASR
- Language model adaptation and keyword detection
- Named entity and concept extraction
- Transfer learning under resource constraints
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