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Automatic detection of Parkinson's disease based on acoustic analysis of speech.

, , , and . Eng. Appl. Artif. Intell., (2019)

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Simulation of Abnormal Physiological Signals in a Phantom for Bioengineering Education., , , and . Int. J. Online Biomed. Eng., 16 (14): 107-121 (2020)Kalman tracking linear predictor for vowel intelligibility enhancement on european portuguese HMM based speech synthesis., , and . ICASSP, page 4734-4737. IEEE, (2010)Real-time Modeling of Abnormal Physiological Signals in a Phantom for Bioengineering Education., , , and . EDUCON, page 1206-1211. IEEE, (2020)Homograph ambiguity resolution in front-end design for portuguese TTS systems., , and . INTERSPEECH, page 1761-1764. ISCA, (2007)Automatic syllabification for danish text-to-speech systems., , , , and . INTERSPEECH, page 1287-1290. ISCA, (2009)An Automatic Voice Pleasantness Classification System Based on Prosodic and Acoustic Patterns of Voice Preference., , , and . INTERSPEECH, page 2457-2460. ISCA, (2011)Adaptive filtering for high quality hmm based speech synthesis., and . SLT, page 41-44. IEEE, (2008)Adaptive Modeling and High Quality Spectral Estimation for Speech Enhancement., and . PROPOR, volume 5190 of Lecture Notes in Computer Science, page 244-247. Springer, (2008)Characterizing Parkinson's Disease from Speech Samples Using Deep Structured Learning., , , , and . SoCPaR, volume 942 of Advances in Intelligent Systems and Computing, page 137-146. Springer, (2018)On the development of an automatic voice pleasantness classification and intensity estimation system., , , and . Comput. Speech Lang., 27 (1): 75-88 (2013)