"Artificial neural networks as speech recognisers for dysarthric speech: ..."

Seyed Reza Shahamiri, Siti Salwah Binti Salim (2014)

> Home

Details and statistics

DOI: 10.1016/J.AEI.2014.01.001

access: closed

type: Journal Article

metadata version: 2020-02-20

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/aei/ShahamiriS14
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/aei/ShahamiriS14
Seyed Reza Shahamiri, Siti Salwah Binti Salim:
Artificial neural networks as speech recognisers for dysarthric speech: Identifying the best-performing set of MFCC parameters and studying a speaker-independent approach. Adv. Eng. Informatics 28(1): 102-110 (2014)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.