![]() ![]() Procedures have been presented in the literature in order toĭerive the reverberator structure considering the mixing timeĮvaluation and the minimization functions definition for the late Of research has been devoted in the last decades aiming toĪrtificially reproduce the reverberation effect exploiting a hybrid Reverberation is a well known effect that hasĪn important role in our listening experience. The study also discusses CPU usage for different FDN orders and plugin states. Experimenting with delay lengths and distribution demonstrates that choosing too wide or too narrow a length range is disadvantageous to the synthesized sound quality. The proposed plugin explores various FDN setups, showing that the lowest useful order for high-quality sound is 16, and that in the case of a Householder matrix the implementation strongly affects the resulting reverberation. It allows for control of reverberation time in ten octave bands, simultaneously allowing adjusting the feedback matrix type and delay-line lengths. The real-time implementation of an artificial reverberation synthesizer presented in this study introduces an audio plugin based on a feedback delay network (FDN), which lets the user have full and detailed insight into the produced reverb. Implementations that use an algorithmic approach are more flexible but do not let the users have full control over the produced sound, allowing only a few selected parameters to be altered. Although nowadays numerous real-time implementations of artificial reverberation algorithms are available, many of them depend on a database of recorded or pre-synthesized room impulse responses, which are convolved with the input signal. Reverberation is one of the most important effects used in audio production. Based on the results, the equivalent circuit adequately simulated the measured frequency response of the microspeaker and the estimations of the acoustic impedances of the ventilation cloths were in good agreement with the measured frequency responses of the microspeaker. Estimated value of the acoustic impedances of the ventilation cloths were used in an equivalent circuit model of the microspeaker for the simulated frequency responses and subsequently compared with the anechoic chamber measurements. The acoustic properties of the ventilation cloths were estimated from the measured frequency response of the microspeaker and by subsequent use of particle swarm optimization algorithm. The equivalent circuit model of the microspeaker was formulated by considering five types each of non-woven and woven ventilation cloths. Non-woven cloths (5 nos.) consist of irregular meshes and woven cloths (5 nos.) consist of regular meshes. Two types of ventilation cloths (acoustic cloths) are commonly used in electroacoustic products, non-woven and woven. The vents after the rear chamber of the microspeaker were covered with ventilation cloths. In this work, microspeaker frequency response was determined based on measurement and simulation. ![]() ![]() Further, subjective differences between FDN and Freeverb are not significant. ![]() Our method yields overall statistically significant higher scores with respect to other anchor conditions. We evaluated the method with a listening test to assess the similarity with target reverberation. The method has been implemented with two artificial reverberation algorithms: a Feedback Delay Network (FDN) and an implementation of the Schroeder-Moorer reverberator (Freeverb). Before this parameters optimization, the target early reflections are approximated through an autoregressive model. The matching between the approximation and the target is implemented with a perceptually motivated loss function. the approximated RIR, with the target one. This procedure iteratively tunes the artificial reverberator parameters to match its output, i.e. We used a Bayesian optimization procedure using a Gaussian Process as a prior distribution. The method automatically optimizes the parameters of an artificial reverberator to match a target Room Impulse Response (RIR). In this paper, we propose a method for reverb matching. An adequate matching provides a proper auditory immersion to the user. The matching of reverberation features between real sound sources and virtual ones is a key task in Audio Augmented Reality. ![]()
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