Papers by Muriel Lalain
The Speed-Vel Project: a Corpus of Acoustic and Aerodynamic Data to Measure Droplets Emission During Speech Interaction (2022.lrec-1)
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Francesca Carbone, Gilles Bouchet, Alain Ghio, Thierry Legou, Carine André, Muriel Lalain, Sabrina Kadri, Caterina Petrone, Federica Procino, Antoine Giovanni
| Challenge: | Conversations and professional interactions are associated with increased risk of SARS-CoV-2 exposure . however, it is unclear to what extent speech properties influence droplets emission . |
| Approach: | They propose to measure velocity and direction of airflow, the number and size of droplets spread during conversation in french. |
| Outcome: | The results will allow future simulation studies to predict the transport, dispersion and evaporation of droplets emitted under different speech conditions. |
Interpretable Assessment of Speech Intelligibility Using Deep Learning: A Case Study on Speech Disorders Due to Head and Neck Cancers (2024.lrec-main)
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Sondes Abderrazek, Corinne Fredouille, Alain Ghio, Muriel Lalain, Christine Meunier, Mathieu Balaguer, Virginie Woisard
| Challenge: | Using deep learning, speech disorders can be evaluated by perceptual measures, but they are subject to subjectivity and lack of reproducibility. |
| Approach: | They propose to use deep-learning to explain hidden representations in a deep- learning speech model to provide a deeper understanding of the final intelligibility assessment of patients with Head and Neck Cancers. |
| Outcome: | The proposed approach predicts speech intelligibility and severity of patients with Head and Neck Cancers while giving relevant interpretations of the final assessment at the phonemes and phonetic feature levels. |
Have a Cake and Eat it Too: Assessing Discriminating Performance of an Intelligibility Index Obtained from a Reduced Sample Size (2020.lrec-1)
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| Challenge: | Random vs. phonetically motivated reduction of linguistic material in speech disordered populations has a higher ranking ability than when the sample size is reduced based on a phonetic criterium. |
| Approach: | They investigate random vs. phonetically motivated reduction of linguistic material in speech disordered populations and their impact on the discrimination classifier. |
| Outcome: | The proposed method is reliable and efficient, and it is of significant interest to clinicians and patients. |
How to Compare Automatically Two Phonological Strings: Application to Intelligibility Measurement in the Case of Atypical Speech (2020.lrec-1)
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| Challenge: | Atypical speech productions must be evaluated with regard to "typical" or "expected" productions . a first test of this method among healthy speakers and patients treated for cancer has proved its validity . |
| Approach: | They propose a method to evaluate "atypical" speech productions based on phonological transcriptions . authors propose to use phonology to compute distances between phonologic forms produced and expected . |
| Outcome: | The proposed method has been validated in a large population of healthy speakers and patients with cancer . it computes distances between phonological forms produced and expected from cost matrices based on features of phonemes . |
Carcinologic Speech Severity Index Project: A Database of Speech Disorder Productions to Assess Quality of Life Related to Speech After Cancer (L18-1)
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Corine Astésano, Mathieu Balaguer, Jérôme Farinas, Corinne Fredouille, Pascal Gaillard, Alain Ghio, Imed Laaridh, Muriel Lalain, Benoît Lepage, Julie Mauclair, Olivier Nocaudie, Julien Pinquier, Oriol Pont, Gilles Pouchoulin, Michèle Puech, Danièle Robert, Etienne Sicard, Virginie Woisard
| Challenge: | Increasing mortality in cancerology highlights the importance of reducing the impact on the Quality of Life after cancer treatment. |
| Approach: | They collect a large database of french speech recordings aimed at validating Disorder Severity Indexes. |
| Outcome: | The collected data will be available to the scientific community through the GIS Parolotheque. |