Described are methods and devices for modulating the tempo of music in real time based on physiological rhythms.

Described are methods and devices for modulating the tempo of music in real time based on physiological rhythms.

Systems and methods for selecting an audio track by performing a gesture on a track-list image are provided. The system includes a processor that performs a method including displaying the audio-track list, detecting a contact with the touchscreen display at a location corresponding to the audio track, detecting a continuous movement of the contact in a direction, detecting a length of the continuous movement, and selecting the audio track if the continuous movement has a length longer than a threshold length. The method includes shifting text associated with the audio track based on the length and direction of the continuous movement. The method includes determining that the selection is a command to queue the audio track for playback or add it to a preparation track list. This determination may be based on the direction of the continuous movement.

Systems and methods for selecting an audio track by performing a gesture on a track-list image are provided. The system includes a processor that performs a method including displaying the audio-track list, detecting a contact with the touchscreen display at a location corresponding to the audio track, detecting a continuous movement of the contact in a direction, detecting a length of the continuous movement, and selecting the audio track if the continuous movement has a length longer than a threshold length. The method includes shifting text associated with the audio track based on the length and direction of the continuous movement. The method includes determining that the selection is a command to queue the audio track for playback or add it to a preparation track list. This determination may be based on the direction of the continuous movement.

In at least one embodiment, a method of performing automatic transcription of musical content included in an audio signal received by a computing device is provided. The method includes processing, using the computing device, the received audio signal to extract musical information characterizing at least a portion of the musical content and generating, using the computing device, a plurality of musical notations representing alternative musical interpretations of the extracted musical information. The method further includes applying a selected one of the plurality of musical notations for transcribing the musical content of the received audio signal.

In at least one embodiment, a method of performing automatic transcription of musical content included in an audio signal received by a computing device is provided. The method includes processing, using the computing device, the received audio signal to extract musical information characterizing at least a portion of the musical content and generating, using the computing device, a plurality of musical notations representing alternative musical interpretations of the extracted musical information. The method further includes applying a selected one of the plurality of musical notations for transcribing the musical content of the received audio signal.

[Object] To propose an image processing method, image processing apparatus and program which are capable of exciting the emotions of a viewer more effectively. [Solution] An information processing method including: analyzing a beat of input music; extracting a plurality of unit images from an input image; and generating, by a processor, editing information for switching the extracted unit images depending on the analyzed beat.

[Object] To propose an image processing method, image processing apparatus and program which are capable of exciting the emotions of a viewer more effectively. [Solution] An information processing method including: analyzing a beat of input music; extracting a plurality of unit images from an input image; and generating, by a processor, editing information for switching the extracted unit images depending on the analyzed beat.

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. 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.

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. 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.