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On Modeling Glottal Source Information for Phonation Assessment in Parkinson's Disease.

, , , , and . Interspeech, page 26-30. ISCA, (2021)

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Automatic pronunciation scoring of words and sentences independent from the non-native's first language., , , , and . Comput. Speech Lang., 23 (1): 65-88 (2009)Bidirectional Alignment of Glottal Pulse Length Sequences for the Evaluation of Pitch Detection Algorithms., , and . CIARP, volume 11896 of Lecture Notes in Computer Science, page 707-716. Springer, (2019)Towards an automatic monitoring of the neurological state of Parkinson's patients from speech., , , , , , , and . ICASSP, page 6490-6494. IEEE, (2016)Representation learning strategies to model pathological speech: Effect of multiple spectral resolutions., , , and . Comput. Speech Lang., (April 2024)Automatic Detection of Parkinson's Disease from Compressed Speech Recordings., , , and . TSD, volume 9302 of Lecture Notes in Computer Science, page 88-95. Springer, (2015)Multi-channel Convolutional Neural Networks for Automatic Detection of Speech Deficits in Cochlear Implant Users., , , , , and . CIARP, volume 11896 of Lecture Notes in Computer Science, page 679-687. Springer, (2019)The INTERSPEECH 2019 Computational Paralinguistics Challenge: Styrian Dialects, Continuous Sleepiness, Baby Sounds & Orca Activity., , , , , , , , , and 8 other author(s). INTERSPEECH, page 2378-2382. ISCA, (2019)Feature Space Visualization with Spatial Similarity Maps for Pathological Speech Data., , , and . INTERSPEECH, page 3068-3072. ISCA, (2019)A microphone-independent visualization technique for speech disorders., , , , and . INTERSPEECH, page 951-954. ISCA, (2009)Speaking Clearly, Understanding Better: Predicting the L2 Narrative Comprehension of Chinese Bilingual Kindergarten Children Based on Speech Intelligibility Using a Machine Learning Approach., , , , and . INTERSPEECH, page 4623-4627. ISCA, (2023)