An apparatus for providing an output signal to an audio transducer comprises: one or more signal paths for receiving respective digital audio input signals, applying respective digital gains, and outputting respective amplified digital audio input signals; one or more inputs for receiving one or more volume parameters associated with the digital audio input signals; converter circuitry, coupled to the one or more signal paths, for converting the one or more amplified digital audio input signals into the analogue domain, and outputting an analogue audio input signal; an analogue gain element, for applying an analogue gain to the analogue audio input signal and outputting the output signal; and a control circuit, coupled to the one or more signal paths, operative to select the analogue gain based on a comparison of the volume parameters and the one or more digital audio input signals as multiplied by the volume parameters, and to select the respective digital gains for each digital audio input signal so that an overall gain in the respective signal path corresponds to a volume parameter associated with the respective digital audio input signal.

A guitar holder with a built-in guitar amplifier for enabling convenient guitar practice and/or play with a compact, space-saving footprint. The guitar holder may comprise any of a variety of guitar holders, including but not limited to a guitar stand and/or a guitar wall hanger.

Provided is a sound pickup loudspeaker apparatus which suppresses the influence of feedback produced when adding a speaker while also reducing a sense of unnaturalness in a sound image. The sound pickup loudspeaker apparatus collects a target sound emitted from a first seat in the vehicle, plays back the collected target sound to a listener seated in a second seat in the vehicle from a second sound amplifying device disposed in a direction different from the first seat from the perspective of the listener, and furthermore plays back the collected target sound to the listener from a first sound amplifying device disposed in the same direction as the first seat from the perspective of the listener. The apparatus multiplies the target sound by a first gain and outputs the target sound to the first sound amplifying device; delays the target sound by an amount of time obtained by adding a time for achieving a precedence effect to a delay time of the first sound amplifying device relative to the second sound amplifying device; and multiplies the delayed target sound by a second gain and outputs the target sound to the second sound amplifying device. A first gain adjustment unit adjusts the first gain to a low value and a second gain adjustment unit adjusts the second gain to a high value.

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.

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.

A microphone device, an interface circuit and method are provided for managing a potential difference in sensitivity to a detected environmental stimulus associated with a sensor arrangement, where multiple electrical signals forming a differential signal can be produced, and the multiple electrical signals can be better balanced. Such an interface circuit, which can be used within a microphone device includes a bias voltage generator having one or more bias output voltage terminals, where a respective one of one or more DC bias voltages is produced at each of the bias output voltage terminals, for being coupled to a pair of transduction elements of a sensor. The interface circuit further includes an amplifier circuit having a first input terminal coupled to a first one of the pair of output terminals of the sensor and having a second input terminal coupled to a second one of the pair of output terminals of the sensor, the amplifier circuit producing a differential output signal. The interface circuit still further includes a compensation circuit coupled to the amplifier circuit for producing a balance signal based on an output signal being produced by the amplifier circuit, wherein the balance signal compensates for any difference in amplitude in the first and second electrical signals that are received by the amplifier circuit from the sensor.

A voice signal control device includes a processor having hardware configured to process a voice signal generated by a voice signal generation device configured to generate the voice signal according to setting information of a voice output in a voice processing device configured to output the voice signal, and make the voice processing device output voice according to the voice signal after the processing.

Methods and systems are provided for independent audio volume control. User input may be received in an audio setup configured for combined-audio, with the user input including one or both of a selection of a desired volume of a first type audio component of the combined-audio signal, and a selection of a desired volume of a second type audio component of the combined-audio signal. Based on the user input, a corresponding mix setting may be determined, with the mix setting including one or more control parameters for adaptively controlling mixing of the first type audio component and the second type audio component to generate the combined-audio signal. The mix setting may be determined based on a data set characterizing an audio device where at least portion of the mixing is performed. The data set may be pre-programmed and/or determined based on testing of the audio device.

To avoid damage from overheating, playback device operation can be modulated based on input from temperature sensors. An example method includes obtaining, via one or more temperature sensors carried by the playback device, temperature data. Based on the temperature data, a first temperature parameter is detected. In response to detecting the first temperature parameter, a gain of audio playback is decreased by a first amount. After decreasing the gain of audio playback by the first amount, a second temperature parameter is detected. In response to detecting the second temperature parameter, the gain of audio playback is decreased by a second amount different than the first amount.

Methods and apparatus to perform an automated gain control protocol with an amplifier based on historical data corresponding to contextual data are disclosed. Example apparatus disclosed herein are to select an automatic gain control (AGC) parameter for an AGC protocol based on historical data corresponding to contextual data, the contextual data including at least one of a time during which the AGC protocol is performed, a panelist identified by a meter, demographics of an audience identified by the meter, a location of the meter, a station identified by the meter, a media type identified by the meter, or a sound pressure level identified by the meter. The disclosed example apparatus are also to perform the AGC protocol based on the selected AGC parameter.