Concepedia

Pierre Beckmann

PB

5

Publications

103

Citations

5

H-Index

2019

Active since

Affiliations

École Polytechnique Fédérale de Lausanne(Current)

Imperial College London

Pierre Beckmann is an author at École Polytechnique Fédérale de Lausanne specializing in deep learning, machine learning, and engineering.

Top concepts

EngineeringDeep LearningMachine LearningLanguageLinguisticsData ScienceSpeech ProcessingSpeech RecognitionLanguage ProcessingSpeech Communication

Publications per year

2019–2023

5

Publications

5

Deep Speech Inpainting of Time-Frequency Masks

Mikolaj Kegler, Pierre Beckmann, Miloš Cerňak · 2020 · 34 citations · Full text

SERAB: A Multi-Lingual Benchmark for Speech Emotion Recognition

Neil Scheidwasser, Mikolaj Kegler, Pierre Beckmann et al. · ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) · 2022 · 29 citations · Full text

Engineering, Machine Learning, Speech Corpus +20

Speech-VGG: A deep feature extractor for speech processing.

Pierre Beckmann, Mikolaj Kegler, Hugues Saltini et al. · arXiv (Cornell University) · 2019 · 17 citations · Full text

Engineering, Machine Learning, Deep Feature Extractor +18

An Alternative to Cognitivism: Computational Phenomenology for Deep Learning

Pierre Beckmann, Guillaume Köstner, Inês Hipólito · Minds and Machines · 2023 · 13 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +21

BYOL-S: Learning Self-supervised Speech Representations by Bootstrapping

Gasser Elbanna, Neil Scheidwasser, Mikolaj Kegler et al. · arXiv (Cornell University) · 2022 · 10 citations · Full text

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