Electro-myographic patterns of sub-vocal Speech: Records and classification

Mendoza, Luis Enrique ^[1] ; Peña, Jesus ^[1] ; Ramón Valencia, Jairo Lenin ^[2]
1. [1] Universidad de Pamplona
  
  Universidad de Pamplona
  
  Colombia
2. [2] Universidad El Bosque
  
  Universidad El Bosque
  
  Colombia
Localización: Revista de Tecnología, ISSN 1692-1399, Vol. 12, Nº. 2, 2013 (Ejemplar dedicado a: Transportes sustentables), págs. 35-41
Idioma: inglés
Enlaces
- Texto completo (pdf)
Resumen
- This paper describes the results obtained from recording, processing and classification of words in spoken Spanish by means of analysis of subvocal speech signals. The processed database has six words (forward, backward, right, left, start and stop), In this article, the signals are sensed with surface electrodes (placed on the surface of the throat) and acquired at a sampling frequency of 50 kHz. The signal conditioning consists of a couple of steps, namely the location of area of interest, using energy analysis; and a filtering stage, using Discrete Wavelet Transform. Finally, feature extraction is achieved in the time-frequency domain using Wavelet Packet and statistical techniques for windowing. Classification is carried out with a back propagation neural network whose training is performed with 70% of the database obtained. The correct classification rate was 75%±2.