Virginie Woisard
11 papers · 2018–2024 · 2 venues · across top CS/AI venues
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Achievements
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๐ฃ Hot Topic Early Bird ๐ Conference Polyglot ยท Bronze ๐ Academic Marathon ยท Sprint ๐ Interdisciplinary Bridge ยท Silver ๐บ๏ธ Taxonomy Completionist (16)
๐
Keyword Champion
(4)
๐
Century Club ยท Bronze
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Renaissance Researcher
(5)
Venues
Top co-authors
Research topics
Keywords
speech intelligibility
(5)
head and neck cancer
(4)
pathological speech
(4)
parkinson disease
(3)
speech disorder
(3)
multiple system atrophy
(3)
differential diagnosis
(2)
automatic evaluation
(2)
speech disorder assessment
(2)
self-supervised learning
(2)
phone classification
(2)
phonetic feature
(1)
deep neural network
(1)
speech quality assessment
(1)
convolutional neural network
(1)
parkinson's disease
(1)
speaker adaptation
(1)
voice onset time
(1)
siamese network
(1)
clinical speech
(1)
Papers
Electroglottography for the assessment of dysphonia in Parkinson's disease and multiple system atrophy
Interspeech 2024
Exploring Pathological Speech Quality Assessment with ASR-Powered Wav2Vec2 in Data-Scarce Context
COLING 2024
Interpretable Assessment of Speech Intelligibility Using Deep Learning: A Case Study on Speech Disorders Due to Head and Neck Cancers
COLING 2024
Towards objective and interpretable speech disorder assessment: a comparative analysis of CNN and transformer-based models
Interspeech 2024
A comparative study on vowel articulation in Parkinson's disease and multiple system atrophy
Interspeech 2022
Automatic Assessment of Speech Intelligibility using Consonant Similarity for Head and Neck Cancer
Interspeech 2022
Validation of the Neuro-Concept Detector framework for the characterization of speech disorders: A comparative study including Dysarthria and Dysphonia
Interspeech 2022
Distortion of Voiced Obstruents for Differential Diagnosis Between Parkinsonโs Disease and Multiple System Atrophy
Interspeech 2021
Automatic Prediction of Speech Intelligibility Based on X-Vectors in the Context of Head and Neck Cancer
Interspeech 2020
Towards Interpreting Deep Learning Models to Understand Loss of Speech Intelligibility in Speech Disorders โ Step 1: CNN Model-Based Phone Classification
Interspeech 2020
Automatic Evaluation of Speech Intelligibility Based on I-vectors in the Context of Head and Neck Cancers
Interspeech 2018