Abstract:
Embodiments of the invention are related to a computer-implemented method that includes receiving musical data, identifying a succession of accentuated events in the musical data, determining a pattern in the succession of accentuated events, comparing the pattern to a plurality of reference patterns, and determining a match for the pattern using the plurality of reference patterns. The method further includes selecting one of the matching reference patterns, and generating a rhythmic musical accompaniment for the musical data based on the selected matching reference pattern. In some cases, the musical data is MIDI data or analog audio data. Analog audio data analysis includes detecting transients in the analog audio data by identifying the succession of accentuated event in the musical data. This may include identifying a plurality of events in the musical data, and determining whether each of the plurality of events is an accent.
Abstract:
A method including receiving a first set of performance data corresponding to a first plurality of MIDI-based notes in a first rhythmic order. The first plurality of MIDI-based notes may form a first arpeggio, with each of the first plurality of notes having a corresponding first performance data. The method further includes receiving input data indicating a change to the first performance data corresponding to a note in the first plurality of notes, changing the first performance data for the corresponding note using the input data, receiving a second set of performance data corresponding to a second plurality of MIDI-based notes, and applying the changed first performance data to the second performance data. Applying the first changed performance data includes editing the second set of performance data in real-time by replacing the second performance data with the changed first performance data.
Abstract:
Embodiments of the invention include storing musical elements in a database and processing performance data, where the musical elements including a plurality of reference accent pattern data and a plurality of reference system pattern data. Processing performance data can include receiving input data corresponding to a musical performance, determining an accent pattern for the musical performance, matching the accent pattern data to one or more reference accent pattern data in the database, and selecting one of the matching reference accent patterns. Processing performance data further includes receiving input corresponding to a selection of a musical style, one or more musical performance parameters, and generating a musical accompaniment based on the processed performance data, the selected musical style, and the selected one or more musical performance.
Abstract:
A computer-implemented method comprises receiving musical data including reference timing data, and a succession of musical notes arranged with respect to the reference timing data, receiving input corresponding to a selection of a groove template, and altering the arrangement of the notes (shifting in a positive or negative direction) with respect to the reference timing data based on the selected groove template. Altering the arrangement of notes can further include adding additional musical notes to the succession of musical notes to add stylistic embellishments particular to the selected groove template, where one of the selectable groove templates includes adding a shuffle dynamic to the succession of musical notes by determining a positive offset associated with each of the musical notes along the musical bar, and applying the positive offset to each of the musical notes, wherein the positive offset corresponds to the position of the musical note.
Abstract:
Embodiments of the invention include storing musical elements in a database and processing performance data, where the musical elements including a plurality of reference accent pattern data and a plurality of reference system pattern data. Processing performance data can include receiving input data corresponding to a musical performance, determining an accent pattern for the musical performance, matching the accent pattern data to one or more reference accent pattern data in the database, and selecting one of the matching reference accent patterns. Processing performance data further includes receiving input corresponding to a selection of a musical style, one or more musical performance parameters, and generating a musical accompaniment based on the processed performance data, the selected musical style, and the selected one or more musical performance.
Abstract:
A computer-implemented method comprises receiving musical data including reference timing data, and a succession of musical notes arranged with respect to the reference timing data, receiving input corresponding to a selection of a groove template, and altering the arrangement of the notes (shifting in a positive or negative direction) with respect to the reference timing data based on the selected groove template. Altering the arrangement of notes can further include adding additional musical notes to the succession of musical notes to add stylistic embellishments particular to the selected groove template, where one of the selectable groove templates includes adding a shuffle dynamic to the succession of musical notes by determining a positive offset associated with each of the musical notes along the musical bar, and applying the positive offset to each of the musical notes, wherein the positive offset corresponds to the position of the musical note.
Abstract:
Embodiments of the invention are related to a computer-implemented method that includes receiving musical data, identifying a succession of accentuated events in the musical data, determining a pattern in the succession of accentuated events, comparing the pattern to a plurality of reference patterns, and determining a match for the pattern using the plurality of reference patterns. The method further includes selecting one of the matching reference patterns, and generating a rhythmic musical accompaniment for the musical data based on the selected matching reference pattern. In some cases, the musical data is MIDI data or analog audio data. Analog audio data analysis includes detecting transients in the analog audio data by identifying the succession of accentuated event in the musical data. This may include identifying a plurality of events in the musical data, and determining whether each of the plurality of events is an accent.
Abstract:
Embodiments of the invention include storing musical elements in a database and processing performance data, where the musical elements including a plurality of reference accent pattern data and a plurality of reference system pattern data. Processing performance data can include receiving input data corresponding to a musical performance, determining an accent pattern for the musical performance, matching the accent pattern data to one or more reference accent pattern data in the database, and selecting one of the matching reference accent patterns. Processing performance data further includes receiving input corresponding to a selection of a musical style, one or more musical performance parameters, and generating a musical accompaniment based on the processed performance data, the selected musical style, and the selected one or more musical performance.
Abstract:
Embodiments of the invention include storing musical elements in a database and processing performance data, where the musical elements including a plurality of reference accent pattern data and a plurality of reference system pattern data. Processing performance data can include receiving input data corresponding to a musical performance, determining an accent pattern for the musical performance, matching the accent pattern data to one or more reference accent pattern data in the database, and selecting one of the matching reference accent patterns. Processing performance data further includes receiving input corresponding to a selection of a musical style, one or more musical performance parameters, and generating a musical accompaniment based on the processed performance data, the selected musical style, and the selected one or more musical performance.