🎯
Focusing
Research Engineer working on applied machine learning for audio and physiological data, with a focus on reproducible pipelines and model evaluation.
- Italt
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03:41
(UTC +01:00) - https://www.linkedin.com/in/mgdicesare/
Popular repositories Loading
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award-winning-audio-ml-pipeline
award-winning-audio-ml-pipeline PublicAward-winning research pipeline for detecting synthetic vs real speech using cepstral features and machine learning, with a focus on feature selection, reproducibility, and robust audio signal anal…
Python
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corsi-block-tapping-test
corsi-block-tapping-test PublicDigital implementation of the Corsi Block-Tapping Test (Forward & Backward) with trial-level logging.
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lecture-notes-generator
lecture-notes-generator PublicAutomated pipeline to transcribe lecture audio with Whisper, generate structured Markdown notes using LLMs, and create multiple-choice quizzes. Model-agnostic, with automatic token budgeting for lo…
Python
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