Musical instrument tutor system

Patent metadata

Field	Value
Publication number	US-2019156696-A1
Application number	US-201715817327-A
Country	US
Kind code	A1
Filing date	Nov 20, 2017
Priority date	Nov 20, 2017
Publication date	May 23, 2019
Grant date	—

Abstract

A computer system may generate acoustical recommendations for a user. A set of actual acoustical data input may be received and compared with a set of expected acoustical data accessed from memory. The set of actual and expected acoustical data may be corresponding. A set of actual acoustical data vectors may be generated and analyzed against a set of expected acoustical vectors. Deviating portions between the actual and expected may be determined and a set of performance rating vectors may be generated based on each deviating portion. Based on these vectors, and by applying the performance rating vectors to a list of reference ratings, the system can generate a set of acoustical recommendations.

First claim

What is claimed is:

1 . A system for acoustical data analysis comprising:
a memory having a set of computer readable instructions; a set of input devices for receiving acoustical data input; and at least one processor for executing the set of computer readable instructions, the set of computer readable instructions being configured to cause the processor to perform a method comprising: receiving, from an input device in the set of input devices, a set of actual acoustical data input; accessing, from the memory, a set of expected acoustical data, the set of expected acoustical data corresponding to the actual acoustical data input; generating, by the at least one processor, a set of actual acoustical vectors from the actual acoustical data input; analyzing, against a set of expected acoustical vectors, the set of actual acoustical vectors; determining, responsive to the analyzing, a set of deviating portions between the actual acoustical vectors and the expected acoustical vectors; generating, based on the set of deviating portions, a set of performance rating vectors for each deviating portion; and generating, based on the performance rating vectors and by applying the performance rating vectors to a list of reference ratings, a set of acoustical recommendations.

2 . The system of claim 1 , wherein the method further comprises generating, for the set of expected acoustical data, the set of expected acoustical vectors.

3 . The system of claim 1 , wherein the actual acoustical vectors describe characteristics of the data including tempo.

4 . The system of claim 1 , wherein the method further comprises:
receiving, by the one or more processors, a first set of audio data, wherein the first set of audio data is obtained from an Internet music database; receiving, by the one or more processors, a second set of audio data, wherein the second set of audio data is provided by a musical composition application; determining the first set of audio data and the second set of audio data correlate to a same musical composition; and storing, in a profile, as the set of the expected acoustical data, the first and second sets of audio data.

5 . The system of claim 1 , wherein the set of acoustical recommendations comprises an instruction to play a particular musical composition, wherein the particular musical composition does not correspond to the expected acoustical data.

6 . The system of claim 1 , wherein the set of acoustical recommendations comprises an instruction to perform a piece at a slower tempo.

7 . The system of claim 1 , wherein the set of acoustical recommendations comprises a set of passages to practice, wherein the set of passages comprise select portions of the expected acoustical data.

8 . A method comprising:
receiving, from an input device in the set of input devices, a set of actual acoustical data input; accessing, from the memory, a set of expected acoustical data, the set of expected acoustical data corresponding to the actual acoustical data input; generating, by the at least one processor, a set of actual acoustical vectors from the actual acoustical data input; analyzing, against a set of expected acoustical vectors, the set of actual acoustical vectors; determining, responsive to the analyzing, a set of deviating portions between the actual acoustical vectors and the expected acoustical vectors; generating, based on the set of deviating portions, a set of performance rating vectors for each deviating portion; and generating, based on the performance rating vectors and by applying the performance rating vectors to a list of reference ratings, a set of acoustical recommendations.

9 . The method of claim 8 , further comprising generating, for the set of expected acoustical data, the set of expected acoustical vectors.

10 . The method of claim 8 , wherein the actual acoustical vectors describe characteristics of the data including tempo.

11 . The method of claim 8 , further comprising:
receiving, by the one or more processors, a first set of audio data, wherein the first set of audio data is obtained from an Internet music database; receiving, by the one or more processors, a second set of audio data, wherein the second set of audio data is provided by a musical composition application; determining the first set of audio data and the second set of audio data correlate to a same musical composition; and storing, in a profile, as the set of the expected acoustical data, the first and second sets of audio data.

12 . The method of claim 8 , wherein the set of acoustical recommendations comprises an instruction to play a particular musical composition, wherein the particular musical composition does not correspond to the expected acoustical data.

13 . The method of claim 8 , wherein the set of acoustical recommendations comprises an instruction to perform a piece at a slower tempo.

14 . A computer program product comprising a computer readable storage medium having program instructions embodied therewith, wherein the computer readable storage medium is not a transitory signal per se, the program instructions executable by a processor to cause the processor to perform a method comprising:
receiving, from an input device in the set of input devices, a set of actual acoustical data input; accessing, from the memory, a set of expected acoustical data, the set of expected acoustical data corresponding to the actual acoustical data input; generating, by the at least one processor, a set of actual acoustical vectors from the actual acoustical data input; analyzing, against a set of expected acoustical vectors, the set of actual acoustical vectors; determining, responsive to the analyzing, a set of deviating portions between the actual acoustical vectors and the expected acoustical vectors; generating, based on the set of deviating portions, a set of performance rating vectors for each deviating portion; and generating, based on the performance rating vectors and by applying the performance rating vectors to a list of reference ratings, a set of acoustical recommendations.

15 . The computer program product of claim 14 , wherein the method further comprises generating, for the set of expected acoustical data, the set of expected acoustical vectors.

16 . The computer program product of claim 14 , wherein the actual acoustical vectors describe characteristics of the data including tempo.

17 . The computer program product of claim 14 , wherein the method further comprises:
receiving, by the one or more processors, a first set of audio data, wherein the first set of audio data is obtained from an Internet music database; receiving, by the one or more processors, a second set of audio data, wherein the second set of audio data is provided by a musical composition application; determining the first set of audio data and the second set of audio data correlate to a same musical composition; and storing, in a profile, as the set of the expected acoustical data, the first and second sets of audio data.

18 . The computer program product of claim 14 , wherein the set of acoustical recommendations comprises an instruction to play a particular musical composition, wherein the particular musical composition does not correspond to the expected acoustical data.

19 . The computer program product of claim 14 , wherein the set of acoustical recommendations comprises an instruction to perform a piece at a slower tempo.

20 . The computer program product of c

Assignees

• IBM

Inventors

• Charters Graham C
• Horwood Benjamin T
• Shewell Mark A
• Dixon Bret W
• Poga Alexander H

Classifications

• G06F16/635

  Filtering based on additional data, e.g. user or group profiles · CPC title

• G06F16/637

  Administration of user profiles, e.g. generation, initialization, adaptation or distribution · CPC title

• G10H2210/076

  for extraction of timing, tempo; Beat detection · CPC title

• G10H2240/131

  Library retrieval, i.e. searching a database or selecting a specific musical piece, segment, pattern, rule or parameter set · CPC title

• G09B15/00 Primary

  Teaching music (metronomes G04F5/02) · CPC title