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… Here is my new evaluation list for Dragonfly. Now it’s up to our voters to prove that it is more useful than other programs. Please take some time to download, install and try Dragonfly. Then read the descriptions below for details. There is also a short video at Most of the time you will see that there are three so called filters: Beamforming, Sound-Localization and Linked List. Every filter does a different job but they can be combined to get a very powerful tool. Here are some observations that I have done in Real World Applications: Beamforming: Beamforming is a very powerful tool and it can also get some serious issues like time reversal, spatial limitations and others if not used carefully. Beamforming works by applying spatial filters to incoming sound. The final result is a beamformed sound. The Beamforming input image on the left side shows the input signal (yellow +) and the spatial filter (blue -). The center wave shows the output after the beamforming filter is applied. 1) Time Reversal (2-Way). The time reversed sound (right) is very interesting, as it can have an effect on the perception of frequencies. This will be the topic of a separate post. 2) Spatial Limitations. The spatial filter should be evaluated to have some degree of accuracy. It should not project energy in the direct line of the microphone as this will create artifacts. You should check your results and look if the locations of the the peaks in your image is correct. If not you should apply a filter to have a correct result. Linked List: The linked list is a basic filter that splits the input signal in a left and right part. I have seen filters as complex as a combination of beamforming and linked list. However, the only real problem that I have found with linked list is not related to the filter itself but to the phase of the left and right channel. The issue is that I can sometimes see the phase difference when looking at the interleaved left-right output. The left side shows the original input signal (yellow +) and the output after applying the linked list filter. The right side shows the same input signal (yellow +) and the output after removing the phase difference (yellow -). 2) Combined
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ExpSuite Crack Keygen is a set of programs for generating and presenting audiovisual stimuli for psychoacoustics and binaural hearing research. It is composed of four software products: The products are: ExpSuite_Control, a graphical user interface that runs on the PC. ExpSuite_Simulator, a software simulator of auditory and visual signals for hearing researchers. ExpSuite_Composition, a software that generates stimuli for psychophysics and psychophysiological measurements. ExpSuite_SineGen, a software that generates stimuli for psychoacoustics experiments and auditory brainstem response (ABR) measurements. Additionally, the software can be integrated with the ear-canal-model ear simulator by modifying the sigmoid ‘fit’ function. The software controls the ear-canal simulator and can be switched to the ear simulator by the user. Key features: * Full and fast control of the system using a graphical user interface. * Automatic generation of stimulus envelopes based on the input stimulus parameters. * Spectra for normal-hearing listeners, cochlear-implant listeners and noise. * Function prototypes that can be used to modify the sigmoid fit function. ExpSuite_Simulator: Psychoacoustics with ExpSuite_Simulator The ExpSuite_Simulator software is a tool for psychoacoustic and psychophysiological measurements. Auditory stimuli are generated on the fly, based on a linear amplitude-modulation system. The simplest stimuli can be generated with one cycle of the modulator, but signals with a wide range of frequencies can be achieved with the use of a digital FIR filter with parameters defined by the user. This software, along with the rest of the ExpSuite_Simulator software, is based on MATLAB® code. Advantages of the ExpSuite_Simulator software: Fast generation of stimuli in Psychoacoustics. Simulation of acoustic and visual stimuli for both normal hearing listeners and cochlear implant listeners. The noise stimulus module of ExpSuite_Simulator can be used in a variety of ways. It can be used in conjunction with any other stimulus and can be used as a noise stimulus. It can also be used as a noise stimulus for hearing researchers to get an impression of the masking-effect of that stimulus, depending on the stimulation frequency and the mask 7ef3115324
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This small tool allows the easy creation of simple to complex experiments. It is easy to use, the settings are saved, and the program is very user-friendly. Praat is a program package for the creation, editing and analysis of auditory stimuli, using a highly powerful and object-oriented API. Praat has been used to carry out the listening tests used in the cochlear implant field. It is also used for the analysis of the auditory evoked response (AER), in particular by the team at the Royal Holloway University of London, UK. For users of Praat without sufficient sound source programming experience, it has been designed to be both educational and user-friendly. It is also suitable for people who are just beginning to study cochlear implantation, because it provides a user-friendly interface. The language used in the interface is English. The Psychoacoustic Toolbox (PTB) was developed to provide customized psychoacoustic measurements, analysis, and data manipulation in conjunction with auditory evoked response (AER) recordings. PTB provides three major frameworks to the user. The (1) PTA (Psychoacoustic Toolbox Analysis framework), (2) SPTA (Sine Wave Psychoacoustic Toolbox), and (3) PtbBase (PTB’s base framework), which are organized as a set of core modules and extensions. PTA is a MATLAB-based toolbox that simplifies the analysis of AERs by providing a user-friendly interface. PTB’s SPTA allows data collection from conventional psychoacoustic experiments in addition to providing powerful AER analysis tools. PtbBase is a language independent framework that provides a powerful application programming interface (API). AudioSniff is a shareware console audio sniffer and spectrum analyzer. It is designed to help you analyze your audio files in small detail. It provides waveform viewing, basic spectrum analysis, spectrum versus time line viewing, Fast Fourier Transform and Wavelet Analysis, and a number of special tools such as support for tempo detection, audio footprint detection, and audio file format identification. BMI has been developed to provide, within the framework of web-based application technology and in combination with a Java application server, the possibility to design, store and process different types of studies in a fast and efficient way. The studies are processed with standardised algorithms, which are maintained in XML files. In order to adapt BMI to the particular situation at hand, the user has
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====================== ExpSuite is a free software for testing psychoacoustic and auditory device compatibility. It is an open-source project maintained and developed by the PsychoAcoustics research group at the University of Antwerp in Belgium. ExpSuite provides a library of tests to evaluate the speech performance of cochlear implants (CI) in normal and aided conditions. The software is based on the Matlab environment and is designed to automate the traditional test procedure (situational free-field stimulation). ExpSuite has the ability to automatically simulate the CI’s signal processing strategy (either spectral or temporal envelope coding of the stimuli) and allows one to apply pure-tone or synthetic speech stimuli. The TestMode library provides the same functionality as the Classic library and provides a.wav file containing the stimulus envelope. ExpSuite has the ability to record and analyse the response of an auditory device to a short audio stimulus, and to store the results in .csv format. ExpSuite main features: ======================= – Accept any matrix stimuli, including audio signals, frequency-time- amplitude functions, frequency responses and stimuli time evolutions and noise; – Execute any spectrum (short-time Fourier transform, FFT) for any period; – Compute the evoked potential by zero-crossing calculation of the first derivative of the signal; – Generate normalised time evolutions, spectra or FFTs per condition (electrode to electrode); – Generate CVs per condition; – Compute the normalised growth of the cochlear microphonic; – Test the discrimination between different stimuli; – Re-stimulate the cochlea with a new stimulus, a combination of sounds or noise; – Accept any matrix stimuli, including audio signals, frequency-time- amplitude functions, frequency responses and stimuli time evolutions and noise; – Execute any spectrum (short-time Fourier transform, FFT) for any period; – Compute the evoked potential by zero-crossing calculation of the first derivative of the signal; – Generate normalised time evolutions, spectra or FFTs per condition (electrode to electrode); – Generate CVs per condition; – Test the discrimination between different stimuli
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