Provided is a game system capable of expanding the range of factors that affect the result of the music game. The game system is provided with control panels having individual rotational buttons. The game system provides a music game in which operation timings at which the individual rotational buttons are to be operated are guided in accordance with the rhythm of a musical piece selected from among a musical piece group. Furthermore, the game system awards card selection opportunities for selecting character cards to be used in play, from among a plurality of character cards prepared so as to have a plurality of skills which are different to each other, and which respectively correspond to changes. In a special mode, the game system implements, in the music game, the changes corresponding to the skills of the character cards selected at the card selection opportunities.

A method of displaying light with the rhythm of music that uses a host system to control display units to display light-emitting colors along with music. The control unit of each display unit controls display elements to operate separately or synchronously. The processor of the host system analyzes the transitions of intro, verse, and hook segments to play the rhythm of the music melody. The host system is used to transmit the display signal to the display units in conjunction with the music to be played, to change various display lighting methods, so as to achieve the effect of displaying light with the rhythm of the music.

A signal processor includes an image obtainer, an estimator, and an outputter. The image obtainer obtains a performance image including playing of a drum. The estimator estimates a degree of attention attracted by the playing of the drum included in the performance image by inputting the performance image into a learning model. The learning model has been subjected to machine learning to estimate the degree of attention based on a feature quantity related to the playing of the drum. The outputter outputs the degree of attention estimated by the estimator.

This disclosure relates to systems and methods for determining when a user likes a piece of content based, at least in part, on analyzing user responses to the content. In one embodiment, the user's response may be monitored by audio and motion detection devices to determine when the user's vocals or movements are emulating the content. When the user's emulation exceeds a threshold amount the content may be designated as liked. In certain instances, a similar piece of content may be selected to play when the current content is finished.

Example apparatus, articles of manufacture and methods to determine semantic audio information for audio are disclosed. Example methods include extracting a plurality of audio features from the audio, at least one of the plurality of audio features including at least one of a temporal feature, a spectral feature, a harmonic feature, or a rhythmic feature. Example methods also include comparing the plurality of audio features to a plurality of stored audio feature ranges having tags associated therewith. Example methods further include determining a set of ranges of the plurality of stored audio feature ranges having closest matches to the plurality of audio features, a tag associated with the set of ranges having the closest matches to be used to determine the semantic audio information for the audio.

The present invention relates to a method and system for analysing audio (eg. music) tracks. A predictive model of the neuro-physiological functioning and response to sounds by one or more of the human lower cortical, limbic and subcortical regions in the brain is described. Sounds are analysed so that appropriate sounds can be selected and played to a listener in order to stimulate and/or manipulate neuro-physiological arousal in that listener. The method and system are particularly applicable to applications harnessing a biofeedback resource.

Systems and methods for visualizations of music may include one or more processors which receive an audio input, and compute a simulation of a human auditory periphery using the audio input. The processor(s) may generate one or more visual patterns on a visual display, according to the simulation, the one or visual patterns synchronized to the audio input.

An intelligent system for matching audio with video of the present invention provides a video analysis module targeting color tone, storyboard pace, video dialogue, length and category and director's special requirement, actors expression, movement, weather, scene, buildings, spacial and temporal, things and a music analysis module targeting recorded music form, sectional turn, style, melody and emotional tension, and then uses an AI matching module to adequately match video of the video analysis module with musical characteristics of the music analysis module, so as to quickly complete a creative composition selection function with respect to matching audio with a video.

A music composition, editing, and playback system and method provides a user interface design based on geometric interpretation of music theory replacing traditional modern music notation with geometric shapes including chords represented by polygons that are colored with colors or hues.

Example articles of manufacture and apparatus disclosed herein for producing supplemental information for audio signature data obtain the audio signature data of a first time period including data relating to at least one of time or frequency components representing a first characteristic of media. Disclosed examples also obtain first semantic audio signature data, for the first time period, that is a measure of generalized information representing characteristics of the media. Disclosed examples further store the audio signature data of the first time period in association with a second time period when it is determined that second semantic audio signature data for the second time period substantially matches the first semantic audio signature data for the first time period.