A method for flattening power of a musical sound signal, said method being characterized by comprising: determining second values corresponding to respective first values indicating power at a plurality of time points of a musical sound signal each on the basis of the result of a comparison between the present value of the first value and the present value of the second value; and flattening the plurality of first values using the second values corresponding to the plurality of first values, respectively, wherein the second value changes while drawing a predetermined trajectory when, in the result of the comparison, a state where the present value of the second value is larger than the present value of the first value continues.

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.

Example articles of manufacture and apparatus for producing supplemental information for audio signature data are disclosed herein. An example apparatus includes memory including computer readable instructions. The example apparatus also includes a processor to execute the instructions to at least obtain first audio signature data associated with a first time period of media, obtain first semantic signature data associated with the first time period of the media and second semantic signature data associated with a second time period of the media, and when second audio signature data associated with the second time period of the media is unavailable, identify the media based on the first audio signature data associated with the first time period of media when the second semantic signature data associated with the second time period matches the first semantic signature data associated with the first time period of the media.

Example articles of manufacture and apparatus for producing supplemental information for audio signature data are disclosed herein. An example apparatus includes memory including computer readable instructions. The example apparatus also includes a processor to execute the instructions to at least obtain first audio signature data associated with a first time period of media, obtain first semantic signature data associated with the first time period of the media and second semantic signature data associated with a second time period of the media, and when second audio signature data associated with the second time period of the media is unavailable, identify the media based on the first audio signature data associated with the first time period of media when the second semantic signature data associated with the second time period matches the first semantic signature data associated with the first time period of the media.

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.

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.

An apparatus for making music includes a cymbal, an acoustic transducer, a signal-processing system that receives a first signal from the acoustic transducer and that generates a second signal based on a property of the first signal, and a classifier that determines a particular manner in which the cymbal was struck based on the second signal, and provides an output trigger signal for triggering production of a sound that consistent with the particular manner.

System, apparatus and method for determining semantic information from audio, where incoming audio is sampled and processed to extract audio features, including temporal, spectral, harmonic and rhythmic features. The extracted audio features are compared to stored audio templates that include ranges and/or values for certain features and are tagged for specific ranges and/or values. The semantic information may be associated with audio signature data Extracted audio features that are most similar to one or more templates from the comparison are identified according to the tagged information. The tags are used to determine the semantic audio data that includes genre, instrumentation, style, acoustical dynamics, and emotive descriptor for the audio signal.

An apparatus for making music includes a cymbal, an acoustic transducer, a signal-processing system that receives a first signal from the acoustic transducer and that generates a second signal based on a property of the first signal, and a classifier that determines a particular manner in which the cymbal was struck based on the second signal, and provides an output trigger signal for triggering production of a sound that consistent with the particular manner.

Described are methods and systems of identifying one or more fundamental frequency component(s) of an audio signal. The methods and systems may include any one or more of an audio event receiving step, a signal discretization step, a masking step, and/or a transcription step.