Open AccessEVALUATION AND COMPARISON USING ACTIVITY SIGNALS OF SPEECH METHODS IN RIVER PLATE SPANISH USING BEPPA CORPUS
Author(s) -
Horderlin Robles,
Valentín Molina,
Luis Javier Martínez,
Hermann Dávila
Publication year - 2016
Publication title -
revista de investigaciones universidad del quindio
Language(s) - English
Resource type - Journals
eISSN - 2500-5782
pISSN - 1794-631X
DOI - 10.33975/riuq.vol28n1.43
Subject(s) - computer science , voice activity detection , speech recognition , point (geometry) , energy (signal processing) , speech processing , state (computer science) , signal processing , signal (programming language) , differential (mechanical device) , algorithm , mathematics , telecommunications , engineering , statistics , radar , geometry , programming language , aerospace engineering
The results obtained after comparing several algorithms which use basic methods of signal processing for speech activity detection of voice or VAD (Voice Activity Detection-VAD), were assessed in order to determine their effectiveness. The algorithms presented in this article are short-time or spectral energy based endpoint detection algorithm, the zero crossing rate method, and the higher order differential (High Order Difference, HOD) method. First, an introduction of the concept of VAD is presented and the need to apply such language algorithms in River Plate is Spanish. Then a summary of the state of the art techniques and algorithms for detecting voice activity is shown with evidence and experiments used to implement algorithms with BEPPA corpus (Evaluation Battery for Patients with Auditive Prostheses, BEPPA – in Spanish).