The present disclosure provides a method for mixing audio, pertaining to the technical field of multimedia. The method includes: after acquiring an audio material to be mixed, determining a beat feature of a target audio, performing beat adjustment on the audio material based on the beat feature of the target audio; and performing audio mixing on the target audio based on the audio material adjusted by the beat adjustment.

Methods, apparatus, and systems are disclosed to segment audio and determine audio segment similarities. An example apparatus includes at least one memory storing instructions and processor circuitry to execute instructions to at least select an anchor index beat of digital audio, identify a first segment of the digital audio based on the anchor index beat to analyze, the first segment having at least two beats and a respective center beat, concatenate time-frequency data of the at least two beats and the respective center beat to form a matrix of the first segment, generate a first deep feature based on the first segment, the first deep feature indicative of a descriptor of the digital audio, and train internal coefficients to classify the first deep feature as similar to a second deep feature based on the descriptor of the first deep feature and a descriptor of a second deep feature.

A haptic device according to one embodiment can comprise: a database unit for storing acoustic information or receiving the acoustic information from an external device; a control unit for converting the acoustic information into an electrical signal according to a predetermined pattern; a driving unit for generating a motion signal on the basis of the electrical signal; and a transfer unit for transferring a patterned tactile signal to a user by means of the motion signal.

A music beat point detection method includes: performing a frame processing on a music signal to obtain a frame signal; obtaining a power spectrum of the frame signal; performing sub-band decomposition on the power spectrum, and decomposing the power spectrum into at least two sub-bands; performing a time-frequency domain joint filtering on a signal of each sub-band according to a beat type corresponding to each sub-band; obtaining a to-be-confirmed beat point from the frame signal of the music signal according to a result of the time-frequency domain joint filtering; and obtaining a beat point of the music signal according to a power value of the to-be-confirmed beat point.

Systems and methods for generating a graphical representation of audio signal data during time compression or expansion are provided. The system may include a processor that performs a method including displaying a waveform during audio-signal playback at a first speed by scrolling the waveform from aright portion of a display to a left portion of the display. The method includes receiving a command to increase or decrease the audio-signal playback speed and horizontally expanding or horizontally contracting the waveform in response to receiving the command to increase or decrease the audio-signal playback speed.

The disclosure provides a method for generating action according to an audio signal and an electronic device. The method includes: receiving an audio signal and extracting a high-level audio feature therefrom; extracting a latent audio feature from the high-level audio feature; in response to determining that the audio signal corresponds to a beat, obtaining a joint angle distribution matrix based on the latent audio feature; in response to determining that the audio signal corresponds to a music, obtaining a plurality of designated joint angles corresponding to a plurality of joint points based on the joint angle distribution matrix; and adjusting a joint angle of each of the joint points on the avatar according to the designated joint angles.

According to an embodiment, there is provided a system and method for automatic AI controlled loop based song construction. It provides and benefits from a machine learning AI in a audio loop selection engine for the generation of a song structure and for the selection of fitting audio loops from a database of audio loops. In one embodiment, the instant method provides a music generation process that utilizes an AI system that has been trained and validated on a music item database to complete the creation of a music item given an incomplete song that was started but not finished by a user.

A system for fractionally representing time signature for use with digital device includes a user interface that enables a user to enter a first number to represent the number of beats per bar; and to enter a second number to represent the number of divisions per beat. The system uses a processing device to run a set of transcription rules to the first and second numbers in response to user selected inputs. A graphical output is used to display a visual representation of the desired fractional output is displayed. The system also includes a method for fractionally representing time signatures with the steps of entering, via an electronic processing device, a first and a second number where the first number represents the number of beats per bar and the second number represents the number of divisions per beat and displays the result on an electronic display.

This video control device includes: a detection unit that detects a beat timing of audio; and a control unit that updates a display mode of a video on the basis of the beat timing and change information indicating a change in a display mode of a video displayed on a display device.

An electronic device may comprise audio processing circuitry, pace tracking circuitry, and positioning circuitry. The pace tracking circuitry may be operable to selects a tempo of songs for playback, by the audio processing circuitry based on position data generated by the positioning circuitry, a desired tempo, and whether the songs are stored locally or network-accessible. The position data may indicate the pace of a runner during a preceding, determined time interval. The pace tracking circuitry may control the song selection and/or time stretching based on a runner profile data stored in memory of the music device. The profile data may include runner's distance-per-stride data. The electronic device may include sensors operable to function as a pedometer. The pace tracking circuitry may update the distance-per-stride data based on the position data and based on data output by the one or more sensors.