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Automatic speech recognition (ASR) technology provides a natural interface for human-machine interaction. Typical ASR systems can achieve high performance in quiet environments but, unlike humans, perform poorly in real-world situations. To better simulate the human auditory periphery and improve the performance in realistic noisy scenarios, we propose two models of speech recognition front-ends based...
Emotions play a significant role in human communication and decision making. In order to bypass current limitations of human-robot interaction, more natural, trustworthy and nonverbal way of communication is needed. This requires robots to be able to explain and perceive person's emotions. Our work is based on the concept that each emotional state can be placed on a two-dimensional plane with arousal...
In recent years, there has been a growing demand for the development of smart environments to improve quality of life. A major role in this process have wearable devices capable of monitoring and recording psychophysiological measures/signals required for variety of applications including remote health monitoring, physical activity monitoring and general user interaction. This paper surveys the current...
Radio Frequency Identification (RFID) technology became the most important tool for identification of items and tracking. Nowadays, the most popular in terms of best price-performance ratio is passive RFID technology, where tags are both powered-up and communicating using the same radio waves transmitted via reader antenna(s).
In this paper we present an architecture of the RFID UHF Gen2 tag which enables an increased reading range based on the integration of the HF harvester with the UHF Gen2 tag. HF harvester charges the circuitry of the UHF tag in a similar way as it works with a battery assisted scheme. In regard to a standard battery-assisted tag, the proposed solution is preferred since: i) the proposed tag, although...
Voice SMS is an application developed in this work that allows a user to record and convert spoken messages into SMS text message. User can send messages to the entered phone number or the number of contact from the phonebook. Speech recognition is done via the Internet, connecting to Google's server. The application is adapted to input messages in English. Used tools are Android SDK and the installation...
In this paper we use a priori information in the object domain to reconstruct the object from the partly available spectrum. Basically, when a priori information consists of the support constraints only, this is a well known problem where an iterative IFFT/FFT is more or less efficient depending on the amount of the a prior information and relative share of the available part of the spectrum. Conceptually...
There are many noise cancellation applications which require utilization of adaptive filters. An adaptive noise canceller adaptively filters a noise reference input to maximally match and subtract out noise or interference from the primary (signal plus noise) input. In this work we use a simple neural network called Adaline as adaptive filter. Our experiments are based on engine noise cancellation...
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