← Authors

Julien Pinquier

8 papers · 2016–2022 · 2 conferences · across top CS/AI conferences

Achievements

๐Ÿ—บ๏ธ Taxonomy Completionist (17) ๐ŸŒ‰ Interdisciplinary Bridge ๐Ÿฃ Hot Topic Early Bird ๐ŸŒ Conference Polyglot (2) ๐Ÿƒ Academic Marathon (6) ๐Ÿ Cross-Pollinator (9) ๐ŸŒˆ Renaissance Researcher (7) ๐Ÿงญ Keyword Pioneer ๐Ÿ† Keyword Champion (3) ๐Ÿงฌ Topic Evolution ๐Ÿ“ˆ Trend Setter ๐Ÿš€ Conference Pioneer ๐Ÿ”ฅ Unstoppable (5)

Conferences

INTERSPEECH (7) NAACL (1)

Top co-authors

Jรฉrรดme Farinas (3) Julie Mauclair (2) Isabelle Ferranรฉ (2) Lionel Fontan (2) Sebastiรฃo Quintas (2) Thomas Pellegrini (2) Virginie Woisard (2) Bruno Gaume (1) Ludovic Tanguy (1) Cรฉline Manenti (1)

Keywords

speech intelligibility (4) pathological speech (2) automatic speech recognition (2) head and neck cancer (2) transfer learning (2) semantic similarity (1) convolutional neural network (1) semantic relation (1) siamese network (1) automatic evaluation (1) linguistic feature (1) lexical similarity (1) second language acquisition (1) speech segmentation (1) phonological feature (1) speaker adaptation (1) word association (1) levenshtein distance (1) presbycusis simulation (1) child speech recognition (1)

Papers

Prediction of L2 speech proficiency based on multi-level linguistic features INTERSPEECH 2022
Automatic Assessment of Speech Intelligibility using Consonant Similarity for Head and Neck Cancer INTERSPEECH 2022
Simulating Reading Mistakes for Child Speech Transformer-Based Phone Recognition INTERSPEECH 2021
Automatic Prediction of Speech Intelligibility Based on X-Vectors in the Context of Head and Neck Cancer INTERSPEECH 2020
Toward a Computational Multidimensional Lexical Similarity Measure for Modeling Word Association Tasks in Psycholinguistics NAACL 2019
Perceptual and Automatic Evaluations of the Intelligibility of Speech Degraded by Noise Induced Hearing Loss Simulation INTERSPEECH 2018
CNN-Based Phone Segmentation Experiments in a Less-Represented Language INTERSPEECH 2016
Using Phonologically Weighted Levenshtein Distances for the Prediction of Microscopic Intelligibility INTERSPEECH 2016