A parametric equalizer includes an equalizer circuit, a first protection circuit, a second protection circuit, and a first addition circuit. The equalizer circuit is arranged to receive an input signal, and process the input signal to generate an output signal. The first protection circuit is arranged to generate a first protection signal according to the output signal, the input signal, and a first processed signal. The second protection circuit is arranged to generate a second protection signal according to the input signal and a second processed signal. The first addition circuit is coupled to the first protection circuit and the second protection circuit, and is arranged to combine the first protection signal and the second protection signal to generate an equalizer output signal.

A circuit is disclosed, in accordance with some embodiments. The circuit includes a transistor stage, a resistive element, a first tunable capacitive element and a second tunable capacitive element. The transistor stage includes a first input/output terminal and a second input/output terminal. The resistive element is connected to the transistor stage. The first tunable capacitive element is connected in parallel with the resistive element. The second tunable capacitive element is connected to the second input/output terminal of the transistor stage.

A semiconductor integrated circuit includes an equalizer circuit configured to amplify a signal component in a particular frequency band of an input signal on a signal path after a coupling capacitor, a sampler circuit configured to convert a first signal outputted from the equalizer circuit to a digital signal, a detector circuit configured to output a second signal based on a frequency of appearance of two values included in the digital signal, and a compensator circuit configured to compensate for a shift of a DC voltage level on the signal path after the coupling capacitor based on the second signal outputted from the detector circuit.

An electronic circuit includes a microcontroller and a DSP (Digital Signal Processor), where the differential of the electronic circuit now proposed, is to transfer the output power to one of the different channels in a free and individual way, from one side to the other, being able to equalize and amplify each channel (speaker), permitting the power division not necessarily equal to said channels.

An equalizer and a method of controlling same are provided. The equalizer includes a memory storing an EQ value set for a plurality of music attributes and storing a general-purpose EQ value; and a processor configured to: obtain an input music signal; calculate a plurality of probability values for the plurality of music attributes by analyzing attributes of the input music signal based on a convolutional neural network; calculate a moderate index between the plurality of probability values; generate an EQ value based on the plurality of probability values and the moderate index; and perform equalizing by applying the generated EQ value to the input music signal.

A leveling equalizer includes a graphic equalizer circuit, a first multiplication circuit, a second multiplication circuit, an addition circuit, and a gain control circuit. The graphic equalizer circuit processes a first input signal and output a first output signal and a second output signal. The first multiplication circuit multiplies the first output signal and one of an adjustable gain value and a fixed gain value to generate a first adjusted output signal. The second multiplication circuit multiplies the second output signal and another of the adjustable gain value and the fixed gain value to generate a second adjusted output signal. The addition circuit combines the first adjusted output signal and the second adjusted output signal to generate an equalizer output signal. The gain control circuit dynamically adjusts the adjustable gain value according to the equalizer output signal.

A microphone has a MEMS device, a driver, and a control unit. The MEMS device outputs a first electrical signal according to an acoustic pressure. The driver vibrates the MEMS device by a drive signal. The control unit calculates a correction value for correcting the first electric signal based on a second electric signal output from the MEMS device when the MEMS device is vibrated by the drive signal.

The present invention provides a deep learning based method and system for processing sound quality characteristics. The method comprises: obtaining data characteristics of an audio data to be processed by extracting features from user preference data including the audio data to be processed; based on the data characteristics, generating a sound quality processing result of the audio to be processed by using a trained baseline model; wherein the baseline model is a neural network model trained by using audio data behavioral data, and other relevant data from multiple users or a single user.

Methods, apparatus, systems and articles of manufacture are disclosed methods and apparatus for audio equalization based on variant selection. An example apparatus includes a processor to obtain training data, the training data including a plurality of reference audio signals each associated with a variant of music and organize the training data into a plurality of entries based on the plurality of reference audio signals, a training model executor to execute a neural network model using the training data, and a model trainer to train the neural network model by updating at least one weight corresponding to one of the entries in the training data when the neural network model does not satisfy a training threshold.

The present disclosure provides an impedance apparatus. The apparatus includes a mass component, at least one elastic component, and a fixed component, the mass component connecting with the fixed component through the at least one elastic component; a damping component disposed between the mass component and the fixed component and providing damping for a movement of the mass component relative to the fixed component. When the mass component is in contact with an external vibration unit, the mass component receives a vibration of the external vibration unit and moves relative to the fixed component, a mass of the mass component is in a range of 0.5 g-5 g, an elastic coefficient of the at least one elastic component is in a range of 600 N/m-5000 N/m, a damping of the damping component is in a range of 1-4, and the impedance apparatus provides the external vibration unit with a mechanical impedance in a range of 6 dB-50 dB.