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In the absence of any theoretical or experimental support, the video watermarking attacks are by default assumed to be Gaussian distributed. By combining four types of statistical tests, the present paper carries out an in-depth study on this hypothesis for eight types of attacks: filtering (median, Gaussian, FMLR, sharpening), rotations, JPEG compression, row&column removal, and StirMark. These...
In the first part of this paper a recognizer based on hidden Markov models (HMMs) is compared in the simple task of vowel recognition with a recognizer based on the multilayer perceptron (MLP). In this situation, we have obtained better results for the last recognizer, fact which highlights the advantage of the discriminative training of the perceptron versus the maximum likelihood training of the...
In this paper we will present progresses made in Automatic Speech Recognition (ASR) for Romanian language. The recognition system is based on statistical modelling with hidden Markov models (HMMs). The progresses concern enhancement of modelling by taking into account the context in form of triphones, improvement of speaker independence by applying a gender specific training and enlargement of the...
This paper describes continuous speech recognition experiments for Romanian language, based on statistical modelling by using hidden Markov models. These experiments are made in order to select the most appropriate features extraction method. The compared methods are cepstral and LPC analysis, in standard and perceptual versions. In our tests the cepstral coefficients perform in the most situations...
This paper describes continuous speech recognition experiments for Romanian language, by using HMM modeling. The following questions are to be discussed: the realization of a new front-end reconsidering linear prediction, the enhancement of recognition rates by context dependent modeling, the evaluation of training strategies ensuring speaker independence of the recognition process without speaker...
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