This study evaluated the relative contributions of temporal fine structure cues in different frequency bands to Mandarin speech recognition both in quiet and in noise. Chinese tone, vowel, consonant and sentence recognition scores were measured in a 4-channel continuous interleaved sampling (CIS) simulation model with six kinds of carriers: all noise carriers (N1234), all fine structure carrier...

The role of fricative context on vowel recognition in a series of FV syllables being part of natural Spanish words is investigated. Perceptual tests were carried out to assess the recognition of vowels in fricative context, in two conditions: 1) Isolated vowel; 2) Fricative noise + vowel. Analysis of results show that adding the fricative noise improves the recognition of the vowel, while the a...

OBJECTIVE Scores on consonant-recognition tests are widely used as an index of speech-perception ability in cochlear implant (CI) users. The consonant stimuli in these tests are typically presented in the /alpha/ vowel context, even though consonants in conversational speech occur in many other contexts. For this reason, it would be useful to know whether vowel context has any systematic effect...

This study investigated whether individuals with small and large native-language (L1) vowel inventories learn second-language (L2) vowel systems differently, in order to better understand how L1 categories interfere with new vowel learning. Listener groups whose L1 was Spanish (5 vowels) or German (18 vowels) were given five sessions of high-variability auditory training for English vowels, aft...

isfaction neural network (CSNN) model developed for In this paper, we address the issues in recognition of a large number of subword units of speech with high confusability among several units. Evidence available from the classification models trained with a limited number of training examples may not be strong to correctly recognize the subword units. We present a constraint satisfaction neura...

Objective of the work is speaker independent recognition of vowels of British English. Back propagation is one of the simplest and most widely used methods for supervised training of multi layer neural networks. In this paper we use parallel implementation of Backpropagation (BP) on Master – Slave architecture to recognize speaker independent eleven steady state vowels of British English. We pe...

Conventional MLP classifiers used in phonetic recognition and speech recognition may encounter local minima during training, and they often lack an intuitive and flexible adaptation approach. This paper presents a hybrid MLP-SVM classifier and its associated adaptation strategy, where the last layer of a conventional MLP is learned and adapted in the maximum separation margin sense. This struct...

The effect of the coefficients used in the conventional back propagation algorithm on training connectionist models is discussed, using a vowel recognition task in speech processing as an example. Some weaknesses of the use of fixed coefficients are described and an adaptive algorithm using variable coefficients is presented. This is found to be efficient and robust in comparison with the fixed...

Many studies have shown the advantage of using ideal binary mask (IdBM) to improve the intelligibility of speech masked by interfering voices. The present work further investigated the segmental contribution to the intelligibility of the IdBMprocessed sentences. Three types (i.e., vowel-only, consonantonly, and vowel-consonant transition) of Mandarin IdBMprocessed stimuli were generated by usin...

Two eye movement experiments examined whether skilled readers include vowels in the early phonological representations used in word recognition during silent reading. Target words were presented in sentences preceded by parafoveal previews in which the vowel phoneme was concordant or discordant with the vowel phoneme in the target word. In Experiment 1, the orthographic vowel differed from the ...