We address the problem of automatic word boundary detection in quiet and in the presence of noise. Attention has been given to automatic word boundary detection for both additive noise and noise-induced changes in the talker’s speech production (Lombard reflex). After a comparison of several automatic word boundary detection algorithms in different noisyLombard conditions, we propose a new algo...

This paper investigates whether the importance and use of word-initial and word-final information in spoken-word recognition is dependent on whether one is listening in a native or a non-native language and on the presence of background noise. Native English and non-native Dutch and Finnish listeners participated in an English word recognition experiment, where either a word’s onset or offset w...

Speech recognition in noise can be challenging for older adults and elicits elevated activity throughout a cingulo-opercular network that is hypothesized to monitor and modify behaviors to optimize performance. A word recognition in noise experiment was used to test the hypothesis that cingulo-opercular engagement provides performance benefit for older adults. Healthy older adults (N = 31; 50-8...

This paper presents the results of Persian handwritten word recognition based on Mixture of Experts technique. In the basic form of ME the problem space is automatically divided into several subspaces for the experts, and the outputs of experts are combined by a gating network. In our proposed model, we used Mixture of Experts Multi Layered Perceptrons with Momentum term, in the classification ...

Under noise or speech reductions, young adult listeners flexibly adjust the parameters of lexical activation and competition to allow for speech signal unreliability. Consequently, mismatches in the input are treated more leniently such that lexical candidates are not immediately deactivated. Using eyetracking, we assessed whether this modulation of recognition dynamics also occurs for older li...

This paper addresses the problem of connected word speech recognition with signals corrupted by additive and convolutional noise. Context-dependent temporal constraints are proposed and compared with the ordinary temporal restrictions, and used in combination with the weighted Viterbi algorithm which had been tested with isolated word recognition experiments in previous papers. Connected-word r...

In speech recognition for real-world applications, the performance degradation due to the mismatch introduced between training and testing environments should be overcome. In this paper, to reduce this mismatch, we provide a hybrid method of spectral subtraction and residual noise masking. We also employ multiple model approach to obtain improved robustness over various noise environments. In t...

As an input method for rapidly spreading small portable information devices, development of speaker independent speech recognition technology which can be embedded on a single DSP is now urgently requested. We have reported a speech recognition method using phoneme similarity vector as a feature vector, which is quite robust for reduction of precision of the feature parameter. We’ve also develo...