Embodiments are disclosed for re-timing a video sequence to an audio sequence based on the detection of motion beats in the video sequence and audio beats in the audio sequence. In particular, in one or more embodiments, the disclosed systems and methods comprise receiving a first input, the first input including a video sequence, detecting motion beats in the video sequence, receiving a second input, the second input including an audio sequence, detecting audio beats in the audio sequence, modifying the video sequence by matching the detected motions beats in the video sequence to the detected audio beats in the audio sequence, and outputting the modified video sequence.

The present invention provides a method for processing music audio data, comprising the steps of providing input audio data representing a first piece of music containing a mixture of predetermined musical timbres, decomposing the input audio data to generate at least a first audio track representing a first musical timbre selected from the predetermined musical timbres, and a second audio track representing a second musical timbre selected from the predetermined musical timbres, applying a predetermined first audio effect to the first audio track, applying no audio effect or a predetermined second audio effect, which is different from the first audio effect, to the second audio track, and obtaining recombined audio data by recombining the first audio track with the second audio track.

In implementations of searching for music, a music search system can receive a music search request that includes a music file including music content. The music search system can also receive a selected musical attribute from a plurality of musical attributes. The music search system includes a music search application that can generate musical features of the music content, where a respective one or more of the musical features correspond to a respective one of the musical attributes. The music search application can then compare the musical features that correspond to the selected musical attribute to audio features of audio files, and determine similar audio files to the music file based on the comparison of the musical features to the audio features of the audio files.

The present invention provides a method for processing music audio data, comprising the steps of providing input audio data representing a first piece of music containing a mixture of predetermined musical timbres, decomposing the input audio data to generate at least a first audio track representing a first musical timbre selected from the predetermined musical timbres, and a second audio track representing a second musical timbre selected from the predetermined musical timbres, applying a predetermined first audio effect to the first audio track, applying no audio effect or a predetermined second audio effect, which is different from the first audio effect, to the second audio track, and obtaining recombined audio data by recombining the first audio track with the second audio track.

Techniques are described herein for tracking and analyzing musical activity (e.g., musical performances) captured by a music controller device. Data indicative of a musical performance by an individual is received. Metadata characterizing the musical data is generated. One or more analytics of the musical data is generated based, at least in part, on the metadata.

A method for controlling a playback tempo of an audio track to be presented at an audio output, the audio track comprising a plurality of audio components, a first audio component of the plurality of audio components being associated with a plurality of sets of audio data, wherein each set of audio data in the plurality of sets of audio data is associated with a respective playback tempo range, the method comprising receiving a playback tempo for presenting the audio track at the audio output, selecting, from the plurality of sets of audio data, a set of audio data that has an associated playback tempo range comprising the received playback tempo, and allocating the selected set of audio data to the first audio component for presenting the audio track at the audio output.

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.

Techniques for automatically controlling the expressive behavior of a virtual musical instrument by analyzing an audio recording of a live musician are provided. In some embodiments, an audio recording may be analyzed at various points along the timeline of the recording to derive corresponding values of a parameter that is in some way representative of the musical expression of the live musician. Values of control parameters that control one or more aspects of the audio playback of a virtual instrument may then be generated based on the determined values of the expression parameter. Values of control parameters may be provided to a sample library to control how a digital score selects and/or plays back samples from the library, and/or values of the control parameters may be stored with the digital score for subsequent playback.

A method and device for audio signal processing is provided. The method includes steps of: obtaining an inputted audio signal; parsing the audio signal to obtain at least one audio feature; determining at least one vibration feature corresponding to the at least one audio feature; and generating a vibration signal corresponding to the audio signal according to the at least one vibration feature. The inputted audio signal is automatically converted into a vibration signal by the vibration feature corresponding to the audio feature of the inputted audio signal, which can avoid errors caused by manual operation and make the vibration signal possess high versatility.

Apparatus and associated methods relate to comparing a musical score model to a captured performance of the musical score, calculating a degree of similarity between the musical score model and the captured performance based on the comparison, and automatically evaluating the captured performance based on the degree of similarity and musical score degree of difficulty determined as a function of the musical score entropy. In an illustrative example, a musician may be learning to play the musical score. The musical score may be modelled, for example, based on pitch, volume, and rhythm, permitting comparison to the captured performance of the musical score. In some examples, the musical score degree of difficulty may be adapted based on the captured performance evaluation. Some embodiments may generate musical scores based on the captured performance evaluation. Various examples may advantageously provide corrective instruction based on the degree of difficulty and the captured performance evaluation.