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Automatic bird species recognition method using their voices is presented in this paper. The selected bird species have been detected by hidden Markov models (HMM) classifier using Mel-frequency cepstral coefficients (MFCC). In order to support recognition process, analysed signals have been appropriately filtered before classification in the so called prefiltration process. The prefiltration strategy assumed using n-th order IIR Butterworth filter bank. Each filter from the filter bank was applied for band pass filtration in the bird species-specific and signal type band. Increase of recognition accuracy has been observed in case of prefiltration with properly chosen filter order. Experiments have been carried out on the set of bird voices containing 30 bird species, one of which is endangered with extinction. [ABSTRACT FROM PUBLISHER]

This paper describes preliminary research results on enhancement of loudspeaker impulse response measurement in small room. Proposed enhancement is a combination of MLS (Maximum Length Sequence) algorithm and Delay-Sum Beamforming in order to measure frequency response of loudspeakers even in very small and poorly suppressed rooms. Application of the beamforming algorithm allows the extension measure of impulse response by damping reflections from walls, floor and ceiling. [ABSTRACT FROM PUBLISHER]