This paper describes a detailed comparison of several state-ofthe-art speech recognition techniques applied to a limited Arabic broadcast news dataset. The different approaches were all trained on 50 hours of transcribed audio from the Al-Jazeera news channel. The best results were obtained using i-vectorbased speaker adaptation in a training scenario using the Minimum Phone Error (MPE) criteri...

In a previous work, Multi-Environment Model based LInear Normalization, MEMLIN, was presented and it was proved to be effective to compensate environment mismatch. MEMLIN is an empirical feature vector normalization which models clean and noisy spaces by Gaussian Mixture Models (GMMs). In this algorithm, the probability of the clean model Gaussian, given the noisy model one and the noisy featur...

This paper focuses on an error-corrective method through reranking of hypotheses in speech recognition. Some recent work investigated corrective models that can be used to rescore hypotheses so that a hypothesis with a smaller error rate has a higher score. Discriminative training such as perceptron algorithm can be used to estimate such corrective models. In discriminative training, how to cho...

The increased availability of broadband connections has recently led to an increase in the use of Internet broadcasting (webcasting). Most webcasts are archived and accessed numerous times retrospectively. One of the hurdles users face when browsing and skimming through archives is the lack of text transcripts of the audio channel of the webcast archive. In this paper, we proposed a procedure f...

In a recent work, we proposed an acoustic data-driven grapheme-to-phoneme (G2P) conversion approach, where the probabilistic relationship between graphemes and phonemes learned through acoustic data is used along with the orthographic transcription of words to infer the phoneme sequence. In this paper, we extend our studies to under-resourced lexicon development problem. More precisely, given a...

We address the problem of estimating the word error rate (WER) of an automatic speech recognition (ASR) system without using acoustic test data. This is an important problem which is faced by the designers of new applications which use ASR. Quick estimate of WER early in the design cycle can be used to guide the decisions involving dialog strategy and grammar design. Our approach involves estim...

background various aspects of adherence to hcv treatment such as frequency, risk factors as well as causes of non-adherence, and its real role in clinical and virological outcome of the infected patients have remained largely unknown. objectives the current study aimed to evaluate patients’ adherence to anti-hcv medications in iran. materials and methods from october 2010 to march 2011, socio-d...

this paper aims to investigate the effect of firm reporting quality, timeliness andquantity for disclosure and reliability of financial reports on the reaction of stockprice delay. statistical population includes 111 active firms in tehran stock exchangeduring 2010-2014 using cochrane method with the confidence level of95%. totally, they were 555 firms-years. in this paper, linear and nonlinear...

background: the main professional goal of nurses is to provide and improve human health. medication errors are among the most common health threatening mistakes that affect patient care. such mistakes are considered as a global problem which increases mortality rates, length of hospital stay, and related costs. this study was conducted to evaluate the types and causes of nursing medication erro...