Multi-channel acoustic analysis of phoneme /s/ mispronunciation for lateral sigmatism detection - JOANNA TRZASKALIK (Autor); Michał Krecichwost (Autor); Natalia Mocko (Autor); Paweł Badura (Autor); Zuzanna Miodońska (Autor) (2019)
10.1016/j.bbe.2018.11.005
https://www.sciencedirect.com/science/article/pii/S0208521617303789
Oryginalny artykuł naukowy
The paper presents a method for computer-aided detection of lateral sigmatism. The aim of the study is to design an automated sigmatism diagnosis tool. For that purpose, a reference speech corpus has been collected. It contains 438 recordings of a phoneme /s/ surrounded by certain vowels with normative and simulated pathological pronunciation. The acoustic signal is recorded with an acoustic mask, which is a set of microphones organised in a semi-cylindrical surface around the subject's face. Frames containing /s/ phoneme are subjected to beamforming and feature extraction. Two different feature vectors containing, e.g., Mel-frequency cepstral coefficients and fricative formants, are defined and evaluated in terms of binary classification involving support vector machines. A single-channel analysis is confronted with multi-channel processing. The experimental results show that the multi-channel speech signal processing supported by beamforming is able to increase the pathology detection capabilities in general.
Keywords: językoznawstwo