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US 12,743,961 B2Granted
Enhanced e-book providing real-time feedback and guided content for musical instruction
AssigneeAccelerando, LLC
InventorDavid Simeon Smolover
Life of this patent
Estimating the term…
Abstract
Presented herein are systems and methods for presenting content of an electronic book to provide real-time feedback to a user performing a musical piece, and to select content for subsequent presentation to the user based at least in part on an automated assessment of user performance of the musical piece.
Claims20
A method for automatically providing one or more tailored content elements customized to an individual user of an interactive electronic book, the method comprising:
- (a) receiving, by a processor of a computing device, one or more audio signals, each corresponding to a performance of the individual user on a particular musical piece of one or more musical pieces, wherein the interactive electronic book comprises a plurality of chapters in which content is delivered to the user via a combination of media types, wherein the plurality of chapters comprises the one or more musical pieces;
- (b) determining, by the processor, one or more measures of proficiency evaluating performance of the individual user on the one or more musical pieces, said determining comprising, for at least a first audio signal of the one or more audio signals:
- automatically identifying, by the processor, one or more musical features from the first audio signal, said one or more musical features selected from the group consisting of (i), (ii), and (iii) as follows:
- (i) a sequence of pitches, (ii) a rhythm, and (iii) a tempo;
- automatically determining, by the processor, where the identified one or more musical features agree with and/or deviate from corresponding reference features of a first musical piece of the one or more musical pieces, wherein the first audio signal corresponds to a first performance of the individual user on the first musical piece;
- and
- determining, by the processor, a first measure of proficiency of the one or more measures of proficiency based at least in part on the determined agreement with and/or deviation from the reference features of the first musical piece;
- (c) automatically identifying, by the processor, using one or more machine learning module(s), a specific media type of the combination of media types as a preferred learning style of the user based on the one or more measures of proficiency;
- (d) automatically identifying, by the processor, the one or more tailored content elements based on the preferred learning style of the user, wherein the one or more tailored content elements comprises one or more new musical pieces and/or explanatory content;
- and
- (e) storing and/or providing, by the processor, the one or more tailored content elements for display to and/or access by the individual user.
8 more elements
A system for automatically providing one or more tailored content elements customized to an individual user of an interactive electronic book, the system comprising:
- a processor of a computing device;
- and
- memory having instructions stored thereon, wherein the instructions, when executed by the processor, cause the processor to:
- (a) receive one or more audio signals, each corresponding to a performance of the individual user on a particular musical piece of one or more musical pieces, wherein the interactive electronic book comprising a plurality of chapters in which content is delivered to the user via a combination of media types, wherein the plurality of chapters comprises the one or more musical pieces;
- (b) determine one or more measures of proficiency evaluating performance of the individual user on the one or more musical pieces, said determining comprising, for at least a first audio signal of the one or more audio signals:
- automatically identifying one or more musical features from the first audio signal, said one or more musical features selected from the group consisting of (i), (ii), and (iii) as follows:
- (i) a sequence of pitches, (ii) a rhythm, and (iii) a tempo;
- automatically determining where the identified one or more musical features agree with and/or deviate from corresponding reference features of a first musical piece of the one or more musical pieces, wherein the first audio signal corresponds to a first performance of the individual user on the first musical piece;
- and
- determining a first measure of proficiency of the one or more measures of proficiency based at least in part on the determined agreement with and/or deviation from the reference features of the first musical piece;
- (c) automatically identify, using one or more machine learning module(s), a specific media type of the combination of media types as a preferred learning style of the user based on the one or more measures of proficiency;
- (d) automatically identify the one or more tailored content elements based on the preferred learning style of the user, wherein the one or more tailored content elements comprises one or more new musical pieces and/or explanatory content;
- and
- (e) store and/or provide the one or more tailored content elements for display to and/or access by the individual user.
11 more elements
Dependencies are inferred from the claim text.