Consonant perception can be modeled by matching noisy test signals to talker-specific speech templates.

Evidence

A template-matching procedure was applied to predict the responses obtained in experiment 1. Two talker-specific template sets were considered, consisting of all speech tokens from each talker (i.e., three templates for each CV). The templates were mixed with random white noise at the test-signal SNR and compared to the experimental stimuli. The distances between the models’ internal representations of the test signals and the templates were obtained using a standard dynamic time warping (DTW) algorithm (Sakoe and Chiba 1978 ). The template-matching procedure was conducted nine times with newly generated random noise for the templates. — Dijk, Pim van, Physiology, Psychoacoustics and…, 5602

Categorization

• DEFINE: Describes the template-matching methodology: talker-specific template sets, noise-mixing at test SNR, and repeated runs as a Monte Carlo approach.