KanNon System - Vowel Recognition with Discrimination of Phoneme Intervals

Second language discrimination vowel contrasts by adults speakers with a five vowel system

This study tests the ability of a group of Salento Italian undergraduate students that have been exposed to L2 in a scholastic context to perceive British English second language (L2) vowel phonemes. The aim is to verify if the Perceptual Assimilation Model could be applied to them. In order to test their ability to perceive L2 phonemes, subjects have executed an identification and an oddity di...

Improving Phoneme Sequence Recognition using Phoneme Duration Information in DNN-HSMM

Improving phoneme recognition has attracted the attention of many researchers due to its applications in various fields of speech processing. Recent research achievements show that using deep neural network (DNN) in speech recognition systems significantly improves the performance of these systems. There are two phases in DNN-based phoneme recognition systems including training and testing. Mos...

Phoneme recognition system based on HMM with distributed VQ codebook

In this paper a new variant of HMM named distributed VQ HMM (DVQHMM) is presented. Its main characteristic is the use of a code books distributed on HMM states with a new manner of HMM parameters estimation. Procedures for training and HMM evaluation of each recognition unit are described. Comparative results on an isolated phoneme recognition system are shown, between DVQHMM and conventional V...

A self-supervised vowel recognition system

Phoneme discrimination from MEG data

We treat Magnetoencephalographic MEG data in a signal detection framework to discriminate between di erent phonemes heard by a test subject Our data set consists of responses evoked by the voiced syllables b and d and the corresponding voiceless syllables p and t The data yield well to principal component analysis PCA with a reasonable subspace in the order of three components out of channels T...