Study of the performance of automatic speech recognition systems in speakers with Parkinson’s Disease
| Autor: | Moro-Velazquez, Laureano, Cho, JaeJin, Watanabe, Shinji, Hasegawa-Johnson, Mark A., Scharenborg, O.E., Kim, Heejin, Dehak, Najim, Kubin, G., Hain, T., Schuller, B., Zarka, D.E., Hodl, P. |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
education.field_of_study
Artificial neural network Computer science Speech recognition Dysarthria Parkinson's disease Population Automatic speech recognition Word error rate 020206 networking & telecommunications 02 engineering and technology 03 medical and health sciences 0302 clinical medicine Vowel Deep neural networks 0202 electrical engineering electronic engineering information engineering medicine medicine.symptom Control (linguistics) Hidden Markov model education 030217 neurology & neurosurgery |
| Zdroj: | INTERSPEECH Proceedings of Interspeech 2019, 2019-September |
| ISSN: | 2308-457X |
| DOI: | 10.21437/interspeech.2019-2993 |
| Popis: | Parkinson’s Disease (PD) affects motor capabilities of patients, who in some cases need to use human-computer assistive technologies to regain independence. The objective of this work is to study in detail the differences in error patterns from state-of-the-art Automatic Speech Recognition (ASR) systems on speech from people with and without PD. Two different speech recognizers (attention-based end-to-end and Deep Neural Network - Hidden Markov Models hybrid systems) were trained on a Spanish language corpus and subsequently tested on speech from 43 speakers with PD and 46 without PD. The differences related to error rates, substitutions, insertions and deletions of characters and phonetic units between the two groups were analyzed, showing that the word error rate is 27% higher in speakers with PD than in control speakers, with a moderated correlation between that rate and the developmental stage of the disease. The errors were related to all manner classes, and were more pronounced in the vowel /u/. This study is the first to evaluate ASR systems’ responses to speech from patients at different stages of PD in Spanish. The analyses showed general trends but individual speech deficits must be studied in the future when designing new ASR systems for this population. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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