Detection of Speech Impairments in Parkinson Disease Using Handcrafted Feature-Based Model on Spanish Speech Corpus

Laiba Zahid, Muazzam Maqsood, Sehar Shahzad Farooq, Farhan Aadil, Irfan Mehmood, Mustansar Fiaz, Soon Ki Jung

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Parkinson disease is a neurodestructive disorder. It gradually dismantles the dopamine chemical producing cells in the brain. The symptoms of the disease arise gradually resulting in infects in movements, olfactory, or speech impairments. The cure for disease is important to prevent patients from major motor and non-motor defects. Computer-aided techniques have been introduced for disease detection and is an open research area. In this paper, we present an approach for early diagnosis of Parkinson disease using the Spanish speech dataset. We modeled handcrafted features from different sets of Spanish recordings and classify them using a machine learning model. Several Machine learning algorithms are implemented for significant classification and compared each other’s results graphically. The results depict that handcrafted features of vowels are most efficient in Parkinson disease detection.

Original languageEnglish
Title of host publicationFrontiers of Computer Vision - 26th International Workshop, IW-FCV 2020, Revised Selected Papers
EditorsWataru Ohyama, Soon Ki Jung
PublisherSpringer
Pages54-65
Number of pages12
ISBN (Print)9789811548178
DOIs
StatePublished - 2020
EventInternational Workshop on Frontiers of Computer Vision, IW-FCV 2020 - Ibusuki, Japan
Duration: 20 Feb 202022 Feb 2020

Publication series

NameCommunications in Computer and Information Science
Volume1212 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

ConferenceInternational Workshop on Frontiers of Computer Vision, IW-FCV 2020
Country/TerritoryJapan
CityIbusuki
Period20/02/2022/02/20

Keywords

  • Classification techniques
  • Handcrafted feature
  • Parkinson disease
  • Speech impairments
  • Speech recognition

Fingerprint

Dive into the research topics of 'Detection of Speech Impairments in Parkinson Disease Using Handcrafted Feature-Based Model on Spanish Speech Corpus'. Together they form a unique fingerprint.

Cite this