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Speech emotion can add more information to speech in comparison to available textual information. However, it will also lead to some problems in speech recognition process. In a previous study, we depicted the substantial changes of speech parameters caused by speech emotion. Therefore, in order to improve emotional speech recognition rate, in a first step, the effects of emotion on speech parameters should be evaluated and in the next steps, emotional speech recognition accuracy be improved through application of suitable parameters. The changes in speech parameters, i.e. formant frequencies and pitch frequency, due to anger and grief were evaluated for Farsi language in our former research. In this research, using those results, we try to improve emotional speech recognition accuracy using baseline models. We show that adding parameters such as formant and pitch frequencies to the speech feature vector can improve recognition accuracy. The amount of improvement depends on parameter type, number of mixture components and the emotional condition. Proper identification of emotional condition can also help in improving speech recognition accuracy. To recognize emotional condition of speech, formant and pitch frequencies were used successfully in two different approaches, namley decision tree and GMM.

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Systems of recognition and location identification of underwater moving bodies which using acoustic waves are called sonar. Electroacoustic transducers have an important role in underwater communication systems such as Sonar. A set of electroacoustic transducers which is called sonar array, can be used for sending and receiving underwater sound. The most widely used transducer in these arrays are Tonpilz transducer. In this paper, a full simulation of Tonpilz transducer is given and the most important factors for evaluating transducer performance are checked experimentally and numerically. Also for validation of finite element model, the sample of transducer was designed and made. This transducer was tested in two methods, electrically and acoustically. Electrical behavior was tested by Impedance gain analyzer devise. Acoustic test was carried in the acoustic pool. Then the result of FEM compared with experimental results. With comparing FEM results and tested model, it is observed that the finite element model can predict electrical and acoustical behavior of Tonpilz transducer so well. Finally it is tried to improve frequency response of transducer with making changes in the structure. While the addition of damping factors can increase frequency bandwidth.

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Supervisor reduction procedure can be used to construct the reduced supervisor with a reduced number of states in discrete-event systems. However, it was proved that the reduced supervisor is control equivalent to the original supervisor with respect to the plant; it has not been guaranteed that the reduced supervisor and the original one are control equivalent under partial observation. In this paper, we extend the supervisor reduction procedure by considering partial observation; namely not all events are observable. A feasible supervisor which is constructed under partial observation becomes reduced based on control consistency of uncertainty sets of states, instead of the original supervisor. In order to construct a partial observation reduced supervisor, a partial observation control cover is constructed based on control consistency of uncertainty sets in the supervisor. Four basic functions are defined in order to capture the control and marking information on the uncertainty sets. In the resulting reduced supervisor, only observable events can cause state changes. The results are illustrated by some examples.