Abstract: An electronic device includes a main body, a sound guiding tube, a microphone assembly and an adjustment cavity. The device body includes a wall plate. The sound guiding tube is formed on the wall plate of the main body and includes an input end, a first output end and a second output end, and the input end is in communication with the external environment. The microphone assembly is arranged on the main body and in communication with the first output end of the sound guiding tube, and the microphone assembly is acoustically connected to the external environment. The adjustment cavity is arranged in the main body and in communication with the second output end of the sound guiding tube, and the adjustment cavity is acoustically connected to the external environment.

Abstract: The invention discloses a prediction method for porous material of electroacoustic devices and prediction system thereof. The method comprises the following steps. The step (A) is to obtain at least one acoustic parameter of a porous material from an electroacoustic device, and the at least one acoustic parameter comprises a flow resistance value, a specific flow resistance value and a flow resistance ratio. The step (B) is to calculate an actual resistance value of the porous material based on the at least one acoustic parameter. Thereafter, the step (C) establishes an equivalent circuit model corresponding to the electroacoustic device based on the structure configuration and material parameters of the electroacoustic device. At last, step (D) introduces the actual impedance value of the porous material into the equivalent circuit model, and calculates the frequency response curve and impedance curve of the electroacoustic device affected by the porous material.

Abstract: An electronic device includes a main body, a sound guiding tube, a microphone assembly and an adjustment cavity. The device body includes a wall plate. The sound guiding tube is formed on the wall plate of the main body and includes an input end, a first output end and a second output end, and the input end is in communication with the external environment. The microphone assembly is arranged on the main body and in communication with the first output end of the sound guiding tube, and the microphone assembly is acoustically connected to the external environment. The adjustment cavity is arranged in the main body and in communication with the second output end of the sound guiding tube, and the adjustment cavity is acoustically connected to the external environment.

Abstract: The invention discloses a prediction method for porous material of electroacoustic devices and prediction system thereof. The method comprises the following steps: in step (A), obtaining at least one acoustic parameter of a porous material from an electroacoustic device, and the at least one acoustic parameter comprising a flow resistance value, a specific flow resistance value and a flow resistance ratio; in step (B), calculating an actual resistance value of the porous material based on the at least one acoustic parameter; in step (C), establishing an equivalent circuit model corresponding to the electroacoustic device based on the structure configuration and material parameters of the electroacoustic device; and in step (D), introducing the actual impedance value of the porous material into the equivalent circuit model, and calculating the frequency response curve and impedance curve of the electroacoustic device affected by the porous material.

Abstract: An exemplary embodiment illustrates an equalization pre-processing method, adapted for characterizing a second sound receptor unit in a sound receiving system based on knowing the internal structure parameters of a first sound receptor unit.

Abstract: A method discloses measuring electroacoustic parameters of transducer. With known voice-coil displacement, voice-coil current, transducer impedance and its stimulus signal as inputs, the five calculation procedures of direct problem, adjoint problem, sensitivity problem, conjugate gradient method, and constraint equations are involved in inversely solving electroacoustic parameters. The presented method has the characteristics of high efficiently, low iterations for computational algorithm, and high accuracy for electroacoustic parameters estimation. Through the numerical result and discussion, the relative errors between estimated and accurate electroacoustic parameters are sufficiently small even with the inclusion of the inevitable measurement errors. These results indicate that the presented method has high feasibility for estimating electroacoustic parameters of a transducer.