background: one of the most common complaints expressed by individuals with hearing-impairment is the difficulty in speech perception in background noise. different tests have been developed for the evaluation of reduced ability of speech perception in noise, and the consonant-vowel in noise test is one of the simplest one regard to speech materials. the goal of the present study was developmen...

This paper presents in-car speech recognition using a modelbased Wiener filter (MBW) and multi-condition (MC) training. The MBW is a 2-step denoising algorithm based on both rough and precise estimation of speech signals. Correcting roughly estimated signals with a Gaussian mixture model (GMM) makes it possible to accurately denoise with little computational cost. In an evaluation of in-car spe...

In this paper, a within-class feature normalization (WCFN) framework operating in transformed segment-level (instead of frame-level) super-vector space is proposed for robust speech recognition. In this framework, each segment hypothesis in a lattice is represented by a high dimensional super-vector and projected to a class-dependent lower-dimensional eigensubspace to remove unwanted variabilit...

We present a highly efficient, data-based method for monaural feature enhancement targeted at automatic speech recognition (ASR) in reverberant environments with highly non-stationary noise. Our approach is based on bidirectional Long Short-Term Memory recurrent neural networks trained to map noise corrupted features to clean features. In extensive test runs, enhanced features are evaluated wit...

We present the machine learning framework that we are developing, in order to support explorative search for non-trivial linguistic configurations in low-density languages (languages with no or few NLP tools). The approach exploits advanced existing analysis tools for high-density languages and word-aligned multi-parallel corpora to bridge across languages. The goal is to find a methodology tha...

For many applications such as machine translation and bilingual information retrieval, the bilingual corpora play an important role in training the system. Because they are obtained through automatic or semi automatic methods, they usually include noise, sentence pairs which are worthless or even harmful for training the system. We study the effect of different levels of corpus noise on an end-...

background and aim: there is a controversy about cochlear implant usefulness for users since they do not develop speech and language with equal quality. many researchers by controlling demographic and medical variables in this population suggested the contribution of neuro­cognitive factors such as working memory to this variation. the aim of this study was to com­pare working memory capacity b...