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.

An optical receiver disclosed includes a bias terminal, an input terminal, a photodiode, an amplifier circuit, a first resistor, a bypass circuit, a filter circuit, and a control circuit. The photodiode receives a bias from the filter circuit through the bias terminal, and outputs a current signal to the amplifier circuit through the input terminal. The amplifier circuit converts an input current to an output voltage. The bypass circuit electrically connected to the input terminal decreases a first input impedance viewed from the input terminal, when activated, and increases the first input impedance, when deactivated. The filter circuit increases a second input impedance viewed from the bias terminal, when a dumping function thereof is activated, and decreases the second input impedance, when the dumping function is deactivated. The control circuit activates the dumping function and the bypass circuit, when the output voltage is larger than a certain voltage.

A voice enhancing device amplifies and clarifies the voice of a user with hypophonia or other voice issues. The device includes a collar of either rigid or a soft material that is shaped to comfortably sit on the shoulders of the user. One or more microphone arrays are adjustably mounted to the collar to capture audio of the user talking. An electronics module enhances the captured audio signal and generates an enhanced audio signal that drives at least one speaker adjustably attached to the collar. The electronic controller implements one or more of an AGC amplifier to correct amplitude variation in spoked words, adaptive filtering to actively filter out background noise, a variable attack and decay function to improve intelligibility of the spoken words, a diphthong modification function to clarify the spoken words, and an echo cancelation function to reduce echo and feedback in the enhanced audio.

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.

Embodiments described herein provide for smart configuration of audio settings for a playback device. According to an embodiment, while a playback device is a part of a first zone group that includes the playback device and at least one first playback device, the playback device applies a first audio setting. The embodiment also includes the playback device joining a second zone group that includes the playback device and at least one second playback device. The embodiment further includes the playback device applying a second audio setting based on an audio content profile corresponding to the second zone group.

Frequency domain compensation is provided for spectral impairment resulting from the audio path characteristics for a given audio device in a given listening space. Selected segments of an audio stream are recorded at a listener position to measure degradation in the audio path and to update compensation filter characteristics of the audio device. Recorded transmitted and received audio sequences are aligned based and compared in the frequency domain. The difference between the aligned transmitted and received sequences represents the frequency domain degradation along the acoustic path due to the speaker, the physical attributes of the room, and noise. A dynamically updated noise model is determined for adjusting compensation filter characteristics of the audio device, which can be updated during use of the audio device. A compensation curve is derived which can adapt the equalization of the audio device passively during normal usage.

The present application relates to the field of audio technology, and provides a method, a device, and an apparatus for playing audio, and a computer-readable storage medium. The method for playing audio includes: obtaining an ambient atmospheric pressure value and audio data to be played; obtaining multiple target frequency points contained in the audio data to be played when the ambient atmospheric pressure value meets a preset condition, and determining equal-loudness multiples corresponding to the target frequency points according to the ambient atmospheric pressure value and a preset calibration atmospheric pressure value; and sending the audio data to be played and the equal-loudness multiples of the target frequency points to a power amplifying module, such that the power amplifying module amplifies the audio data to be played according to the equal-loudness multiples corresponding to the target frequency points.