Abstract
There has been an interest in signal processing, which can be defined as speech processing. Nowadays, studies on health disease increase. Some diseases are distinguished from voice of patients. Parkinson patients can be an example for this situation. Collected samples are analyzed to extract the feature vectors. Each feature refers the specific information about data. In this study, some features are extracted from the voice recordings and these features represent the related samples. Creating dataset is classified with well-known machine learning tools, which is Artificial Neural Networks. To classify the dataset, Multi-Layer Perceptron (MLP) and Generalized Regression Neural Networks (GRNN) are used.
| Original language | English |
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| Title of host publication | Proceedings - International Conference on Global Trends in Signal Processing, Information Computing and Communication, ICGTSPICC 2016 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 119-121 |
| Number of pages | 3 |
| ISBN (Electronic) | 9781509004676 |
| DOIs | |
| Publication status | Published - 22 Jun 2017 |
| Externally published | Yes |
| Event | 2016 International Conference on Global Trends in Signal Processing, Information Computing and Communication, ICGTSPICC 2016 - Jalgaon, India Duration: 22 Dec 2016 → 24 Dec 2016 |
Publication series
| Name | Proceedings - International Conference on Global Trends in Signal Processing, Information Computing and Communication, ICGTSPICC 2016 |
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Conference
| Conference | 2016 International Conference on Global Trends in Signal Processing, Information Computing and Communication, ICGTSPICC 2016 |
|---|---|
| Country/Territory | India |
| City | Jalgaon |
| Period | 22/12/16 → 24/12/16 |
Bibliographical note
Publisher Copyright:© 2016 IEEE.
Keywords
- audio signal
- GRNN
- MLP
- Parkinson