According to one aspect, there is an electronic musical instrument including operators which includes a first operator corresponding to a first pitch and a second operator corresponding to a second pitch, and a sound source configured to generate a first output signal from a first close loop and a second output signal from a second close loop, to generate an integration signal, and return a subtraction signal, the subtraction signal being obtained by subtracting a signal circulating through the first close loop from the integration signal, to the first close loop, and then output a musical sound signal including signal components corresponding to the second pitch as a musical sound signal corresponding to the first pitch.

The present invention provides a band-pass filtering adaptive response method and system for music lamp strip. The method comprises the following steps: Step 1: obtaining sound data acquired by a microphone in real time, and sequentially filtering the obtained sound data through a low-pass filter; Step 2: classifying the filtered sound data by a volume classifier, so as to classify the continuous changes of sound into a number of discrete classifications; Step 3: determining a BPM of the sound data according to a classification result of the volume classifier; Step 4: determining a acquisition frequency of MCU according to the determined BPM; Step 5: acquiring the classification result of the volume classifier by MCU according to the determined acquisition frequency; Step 6: controlling color change and/or brightness change of LED lamp on the music lamp strip according to the classification result acquired by MCU.

The present invention provides a band-pass filtering adaptive response method and system for music lamp strip. The method comprises the following steps: Step 1: obtaining sound data acquired by a microphone in real time, and sequentially filtering the obtained sound data through a low-pass filter; Step 2: classifying the filtered sound data by a volume classifier, so as to classify the continuous changes of sound into a number of discrete classifications; Step 3: determining a BPM of the sound data according to a classification result of the volume classifier; Step 4: determining a acquisition frequency of MCU according to the determined BPM; Step 5: acquiring the classification result of the volume classifier by MCU according to the determined acquisition frequency; Step 6: controlling color change and/or brightness change of LED lamp on the music lamp strip according to the classification result acquired by MCU.

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.

Systems and methods for creating a digital audio filter, such as an impulse response filter, using a pickup audio signal provided to an instrument signal capture device and a microphone signal provided to a mobile device are disclosed. In one embodiment, a method includes capturing a first audio signal using a signal capture device, performing frequency analysis on the digitized first audio signal to generate a frequency response spectrum representation, transmitting the frequency response spectrum representation of the first audio signal from the signal capture device to a mobile device, capturing a second audio signal using a microphone on the mobile device, performing frequency analysis on the at least one digitized second audio signal using the mobile device to generate a frequency response spectrum representation, and generating a digital audio filter from the frequency response spectrum representations of the first audio signal and the second audio signal.

Systems and methods for creating a digital audio filter, such as an impulse response filter, using a pickup audio signal provided to an instrument signal capture device and a microphone signal provided to a mobile device are disclosed. In one embodiment, a method includes capturing a first audio signal using a signal capture device, performing frequency analysis on the digitized first audio signal to generate a frequency response spectrum representation, transmitting the frequency response spectrum representation of the first audio signal from the signal capture device to a mobile device, capturing a second audio signal using a microphone on the mobile device, performing frequency analysis on the at least one digitized second audio signal using the mobile device to generate a frequency response spectrum representation, and generating a digital audio filter from the frequency response spectrum representations of the first audio signal and the second audio signal.

Disclosed are a method and device for processing an audio signal, in which a pitch processed signal 21 is mixed 33 with a high pass filtered 30 version of the input signal. This produces improvements in the latency and quality of the pitch processed signal, particularly for live performance.

A method and system for shaping the tone by modular circuit bending and modding of electric and electronic music instruments, audio amplifiers and sound equipment. The design of the system consists of a modding structure of a plurality of inserts, inputs and outputs connections for compatible modules, to reconfigure the electronic circuit without the physical changing of component values and without adding or removing electronic parts of the audio equipment by soldering. A plurality of tone modules for shaping the sound by the intervention into the signal path and a plurality of modules for shaping the tone by other sound design methods that are not part of the signal path are provided. For the modular system, an external device can be used as a multiplier, which consists of a plurality of inserts, inputs and outputs connections for compatible modules also including a plurality of combined series/parallel circuits of freely selectable inputs and outputs for the direct swap of a plurality of modding modules. In addition, switching options are available to control bypass, for advanced series or parallel connections, and for AB testing capabilities. The modular modding system can be used as a standalone device or as an upgrade to existing equipment.

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.

Methods and systems for improved neural beat generation for digital audio files are provided. In one embodiment the method is provided that includes receiving a digital audio file and a beat frequency for a neural beat. Chromagram features may be extracted from the digital audio file and may be used to identify dominant pitch classes at a plurality of timestamps within the digital audio file. A plurality of carrier frequencies at different time periods within the digital audio file may be selected based on the dominant pitch classes. A neural beat may be synthesized for the digital audio file based on the beat frequency in the plurality of carrier frequencies. The neural beat may be stored and/or may be combined with the digital audio file to generate a combined audio track, which may be stored.