Utterance classification is a critical pre-processing step for many speech understanding and dialog systems. In multi-user settings, one needs to first identify if an utterance is even directed at the system, followed by another level of classification to determine the intent of the user’s input. In this work, we propose RNN and LSTM models for both these tasks. We show how both models outperfo...

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In this paper, image transmission in underwater channels is considered. The images are encoded with forward error correction using an unequal error protection technique together with the Reed-Solomon codes and dynamic bit-rate allocation before transmitted. This paper proposes a novel rate allocation scheme for efficient image bit stream transmission in underwater acoustic channels with optimum...

In this paper, we present a simple and effective signature verification method that depends only on the raw binary pixel intensities and avoids using complex sets of features. The method looks at the signature verification problem as a graph matching problem. The method is tested using genuine and forgery signatures produced by five subjects. An equal error rate of 26.7% and 5.6% was achieved f...

The artificial noise (AN) aided channel quality indicator (CQI) mapped generalized spatial modulation (GSM) philosophy is proposed for improving the security of legitimate links. Given randomness CQI, eavesdroppers cannot successfully decode confidential information. We analyse both secrecy rate as well eavesdropper's error and reveal that scheme outperforms its CQI-mapped counterpart. Theoreti...

among the food products, grains play an important role in the consumption patterns of people, especially in the developing countries. since iran's main source of public dietary energy comes directly from grains, investigating and identifying the determinants of import of these products can be an important step towards food security. most experimental studies consider import of grains as only a ...

We consider a multi-hop distributed hypothesis testing problem with multiple decision centers (DCs) for against independence and where the observations obey some Markov chain. For this system, we characterize fundamental type-II error exponents region, i.e., that various DCs can achieve simultaneously, under expected rate-constraints. Our results show region is boosted compared to maximum-rate ...