Background: Many elderly individuals complain of difficulty in understanding speech in noise despite having normal hearing thresholds. According to previous studies, auditory training leads to improvement in speech-in-noise perception, but these studies did not consider the etiology, so their results cannot be generalized. The present study aimed at investigating the effectiveness of envelopeba...

Low resourced languages suffer from limited training data and resources. Data augmentation is a common approach to increasing the amount of training data. Additional data is synthesized by manipulating the original data with a variety of methods. Unlike most previous work that focuses on a single technique, we combine multiple, complementary augmentation approaches. The first stage adds noise a...

This paper describes the design and implementation of a system that recognizes machine-printed Arabic words without prior segmentation. The technique is based on describing symbols in terms of shape primitives. At recognition time, the primitives are detected on a word image using mathematical m.orphology operations. The system then matches the detected primitives with symbol models. This leads...

The sentence stimuli developed in this project combined aspects from several traditional approaches to speech audiometry. Sentences varied with respect to frequency of word use and phonetic confusability. Familiar consonant-vowel-consonant words, nouns and modifiers, were used to form 500 sentences of seven to nine syllables. Based on concepts from the Neighborhood Activation Model for spoken w...

We propose a noise robust speech recognition method based on combining novel features extracted from fundamental frequency (F0) information and spectral subtraction. F0 features have been shown to be effective in speech recognition in noisy environments. Recently, F0 features obtained by Hough transform were developed for concatenated digit recognition and significantly improved recognition per...

This paper investigates the relationship between the word accuracy and the PESQ (ITU-T Recommendation P.862) score, and the availability of the artificial voice (ITU-T Recommendation P.50) for calculating the PESQ score. For this purpose, recognition experiments using four noise reduction algorithms were performed on the AURORA-2J connected digit recognition task. These results confirmed that t...

Background: Variability in speech performance is a major concern for children with cochlear implants (CIs). Spectral resolution is an important acoustic component in speech perception. Considerable variability and limitations of spectral resolution in children with CIs may lead to individual differences in speech performance. The aim of this study was to assess the correlation between auditory ...

INTRODUCTION In ideal listening situations, subjects with normal hearing can easily understand speech, as can many subjects who have a hearing loss. OBJECTIVE To present the validation of the Word Recognition Test in a Free Field in the Presence of Noise in normal-hearing adults. METHODS Sample consisted of 100 healthy adults over 18 years of age with normal hearing. After pure tone audiome...

In this paper we show that time-frequency averaging of noise compensation filters, estimated using well-known techniques such as spectral subtraction, Wiener filtering and Ephraim-Malah approach, improves the performance of automatic speech recognition system in non-stationary noisy environments. The experiments were conducted on a multilingual isolated word recognition task in signal to noise ...

With the aim of using an automatic speech recognition (ASR) system in practical environments, various approaches focused on noise-robustness such as noise adaptation and reduction techniques have been investigated. We have previously proposed a distinctive phonetic feature (DPF) parameter set for a noise-robust ASR system, which reduced the effect of high-level additive noise[1]. This paper des...