A sound processing method includes: determining a vector of a first residual signal according to a first signal vector and a second signal vector, the first signal vector including a first voice signal and a first noise signal input into the first microphone, the second signal vector including a second voice signal and a second noise signal input into the second microphone, and the first residual signal including the second noise signal and a residual voice signal; determining a gain function of a current frame according to the vector of the first residual signal and the first signal vector; and determining a first voice signal of the current frame according to the first signal vector and the gain function of the current frame.

Road vehicle comprising at least one electric motor; an acoustic system, which comprises at least one reproduction device, which generates a sound that can be associated with the electric motor; wherein the electric motor is mechanically connected to the reproduction device so as to be able to excite a resonant frequency thereof; and a control unit configured to control the electric motor so as to inject at least one sonority current or voltage, as an input, to the electric motor itself; wherein said at least one sonority current or voltage excites a frequency resulting in a vibration of said at least one reproduction device, which emits, due to the vibration, in the form of acoustic waves, a sound as a function of the injected sonority current or voltage.

Road vehicle comprising at least one electric motor; an acoustic system, which comprises at least one reproduction device, which generates a sound that can be associated with the electric motor; wherein the electric motor is mechanically connected to the reproduction device so as to be able to excite a resonant frequency thereof; and a control unit configured to control the electric motor so as to inject at least one sonority current or voltage, as an input, to the electric motor itself; wherein said at least one sonority current or voltage excites a frequency resulting in a vibration of said at least one reproduction device, which emits, due to the vibration, in the form of acoustic waves, a sound as a function of the injected sonority current or voltage.

Systems and methods of presenting an output audio signal to a listener located at a first location in a virtual environment are disclosed. According to embodiments of a method, an input audio signal is received. For each sound source of a plurality of sound sources in the virtual environment, a respective first intermediate audio signal corresponding to the input audio signal is determined, based on a location of the respective sound source in the virtual environment, and the respective first intermediate audio signal is associated with a first bus. For each of the sound sources of the plurality of sound sources in the virtual environment, a respective second intermediate audio signal is determined. The respective second intermediate audio signal corresponds to a reverberation of the input audio signal in the virtual environment. The respective second intermediate audio signal is determined based on a location of the respective sound source, and further based on an acoustic property of the virtual environment. The respective second intermediate audio signal is associated with a second bus. The output audio signal is presented to the listener via the first bus and the second bus.

Systems and methods of presenting an output audio signal to a listener located at a first location in a virtual environment are disclosed. According to embodiments of a method, an input audio signal is received. For each sound source of a plurality of sound sources in the virtual environment, a respective first intermediate audio signal corresponding to the input audio signal is determined, based on a location of the respective sound source in the virtual environment, and the respective first intermediate audio signal is associated with a first bus. For each of the sound sources of the plurality of sound sources in the virtual environment, a respective second intermediate audio signal is determined. The respective second intermediate audio signal corresponds to a reverberation of the input audio signal in the virtual environment. The respective second intermediate audio signal is determined based on a location of the respective sound source, and further based on an acoustic property of the virtual environment. The respective second intermediate audio signal is associated with a second bus. The output audio signal is presented to the listener via the first bus and the second bus.

An integration unit IU for tuning an OEM sound system augmented with aftermarket components, such as an amplifier or a subwoofer. The integration unit is contained in a small housing that can be installed inconspicuously in most vehicles without removing the original head unit. The unit may comprise a DSP-based active line output converter that is configured to automatically detect the frequency response and phase of the OEM head unit. The unit performs various algorithms to detect and analyze crossovers, EQ, time delay, and allpass filters and then matches left and right audio channels. The IU may allow for low bass correction detecting and defeating the factory high pass filter. Still further, the IU can correct the various filters to ensure a clean, uncolored audio signal for the augmented components.

An integration unit IU for tuning an OEM sound system augmented with aftermarket components, such as an amplifier or a subwoofer. The integration unit is contained in a small housing that can be installed inconspicuously in most vehicles without removing the original head unit. The unit may comprise a DSP-based active line output converter that is configured to automatically detect the frequency response and phase of the OEM head unit. The unit performs various algorithms to detect and analyze crossovers, EQ, time delay, and allpass filters and then matches left and right audio channels. The IU may allow for low bass correction detecting and defeating the factory high pass filter. Still further, the IU can correct the various filters to ensure a clean, uncolored audio signal for the augmented components.

An electronic device may include one or more terminals configured to provide a voltage signal to an actuator. The electronic device may detect a current associated with the voltage signal provided by the terminal to the actuator. The electronic device may determine an impedance across associated with the actuator based on the voltage signal and the electrical current. The electronic device may compare the impedance to a threshold impedance to determine whether there is sufficient skin contact with the actuator. The electronic device may provide audio via cartilage conduction if there is sufficient contact based on comparing the impedance to the threshold impedance, or may output a notification to the user to adjust placement of the electronic device to improve contact.

Various arrangements for performing dynamic volume control are provided. Audio characteristics of audio content being output to a user may be identified. Adjustments made to an audio volume setting by the user while the audio content is being output to the user can be monitored. A machine learning model can be trained based on the adjustments made to the audio volume setting by the user that are mapped with the audio characteristics of the audio content. After the machine learning model is trained, the audio volume setting can be adjusted based at least in part on the trained machine learning model analyzing audio content.

Various arrangements for performing dynamic volume control are provided. Audio characteristics of audio content being output to a user may be identified. Adjustments made to an audio volume setting by the user while the audio content is being output to the user can be monitored. A machine learning model can be trained based on the adjustments made to the audio volume setting by the user that are mapped with the audio characteristics of the audio content. After the machine learning model is trained, the audio volume setting can be adjusted based at least in part on the trained machine learning model analyzing audio content.