Journal of Neurology and Neuroscience

  • ISSN: 2171-6625
  • Journal h-index: 18
  • Journal CiteScore: 4.35
  • Journal Impact Factor: 3.75
  • Average acceptance to publication time (5-7 days)
  • Average article processing time (30-45 days) Less than 5 volumes 30 days
    8 - 9 volumes 40 days
    10 and more volumes 45 days
Awards Nomination 20+ Million Readerbase
Indexed In
  • Open J Gate
  • Genamics JournalSeek
  • The Global Impact Factor (GIF)
  • China National Knowledge Infrastructure (CNKI)
  • Directory of Research Journal Indexing (DRJI)
  • OCLC- WorldCat
  • Proquest Summons
  • Scientific Journal Impact Factor (SJIF)
  • Euro Pub
  • Google Scholar
  • Secret Search Engine Labs
Share This Page


Non-Invasive Detection of Alzheimer's Disease-Multifractality of Emotional Speech

Susmita Bhaduri, Rajdeep Das and Dipak Ghosh

Speech emotion recognition has become crucial in the field of human computer interaction for important applications like early detection of Alzheimer's Disease- (hereafter AD). The aim of the present paper is to introduce a new feature for emotion detection from speech using the Multi Fractal Detrended Fluctuation Analysis (MFDFA) method. We propose a quantitative parameter for categorizing various emotions by analyzing the non-stationary details of the dynamics of speech signal, generated out of differing emotions. The observed contrast in this parameter on Angry and Sad emotion can be used for diagnosis of AD. It will be a positive step towards early detection of AD using speech analysis.