Vocal training system and method with flexible performance evaluation criteria

• US 20060009979A1
• Filed: 05/14/2004
• Published: 01/12/2006
• Est. Priority Date: 05/14/2004
• Status: Abandoned Application

• Current Assignee: Konami Digital Entertainment Incorporated (Konami Holdings Corp.)
• Original Assignee: Konami Digital Entertainment Incorporated (Konami Holdings Corp.)
• Inventors: McHale, Mike, Egozy, Eran B.
• Application Number:
  US10/846,422
• Publication Number:
  US 20060009979A1
• Time in Patent Office: Days
• US Class Current: 704/270
• CPC Class Codes: A63F 13/10 Control of the course of the game, e.g. start, progess, end
• CPC Class Codes: A63F 13/215 comprising means for detecting acoustic signals, e.g. using a microphone
• CPC Class Codes: A63F 13/44 involving timing of operations, e.g. performing an action within a time slot
• CPC Class Codes: A63F 13/45 Controlling the progress of the video game
• CPC Class Codes: A63F 13/5375 for graphically or textually suggesting an action, e.g. by displaying an arrow indicating a turn in a driving game
• CPC Class Codes: A63F 13/63 by the player, e.g. authoring using a level editor
• CPC Class Codes: A63F 13/814 Musical performances, e.g. by evaluating the player's ability to follow a notation
• CPC Class Codes: A63F 2300/1081 Input via voice recognition
• CPC Class Codes: A63F 2300/303 for displaying additional data, e.g. simulating a Head Up Display
• CPC Class Codes: A63F 2300/308 Details of the user interface
• CPC Class Codes: A63F 2300/6027 using adaptive systems learning from user actions, e.g. for skill level adjustment
• CPC Class Codes: A63F 2300/61 Score computation
• CPC Class Codes: A63F 2300/8047 Music games
• CPC Class Codes: G10H 1/368 displaying animated or moving pictures synchronized with the music or audio part
• CPC Class Codes: G10H 2210/091 for performance evaluation, i.e. judging, grading or scoring the musical qualities or faithfulness of a performance, e.g. with respect to pitch, tempo or other timings of a reference performance
• CPC Class Codes: G10H 2220/015 Musical staff, tablature or score displays, e.g. for score reading during a performance
• CPC Class Codes: G10H 2220/151 Musical difficulty level setting or selection

Abstract

A music video game includes a vocal training system and method with flexible performance evaluation criteria. The player is presented with an in-game interface including one or more feedback mechanisms configured to provide feedback to a player relating to the player'"'"'s performance of the music video game. A compare module compares the player'"'"'s performance with a reference performance provided by the music video game. A performance evaluation module determines the performance feedback to be presented to the player while the player performs the musical composition. In some embodiments, the player'"'"'s pitch and rhythm are compared against a reference pitch and rhythm. If the player'"'"'s pitch and rhythm matches the reference pitch and rhythm to within a predetermined target range, then the performance feedback is positive. Otherwise, the performance feedback is negative. In some embodiments, the target range can be adjusted based on the difficulty of the song and/or a player profile.

Claims

1. A vocal training system, comprising:

a graphical user interface including a first portion for displaying graphical representations of music notes of a musical composition and a second portion including a first feedback display mechanism for providing a first feedback indicative of the player'"'"'s performance of the musical composition based on performance evaluation data;

a compare module for comparing a player'"'"'s performance of the musical composition with a reference performance of the musical composition provided by the music video game; and

a performance evaluation module coupled to the compare module and to the graphical user interface, the performance evaluation module for determining if the player'"'"'s performance matches the reference performance to within a selected target range, generating positive performance evaluation data if the player'"'"'s performance matches the reference performance to within the selected target range, and generating negative performance evaluation data if the player'"'"'s performance does not match the reference performance to within the selected target range.

2. The vocal training system of claim 1, wherein the compare module compares the player'"'"'s vocal performance to a reference vocal performance and the performance evaluation module provides positive performance evaluation data to the graphical user interface if the player'"'"'s vocal performance matches the reference vocal performance to within the selected target range.

3. The vocal training system of claim 1, wherein the target range is automatically adjusted by the music video game based on a player profile.

4. The vocal training system of claim 1, wherein the target range is automatically adjusted by the music video game based on a level of difficulty associated with the musical composition.

5. The vocal training system of claim 1, wherein the target range is manually adjusted by the player.

6. The vocal training system of claim 1, wherein the compare module compares the player'"'"'s vocal pitch with a reference pitch from the reference performance.

7. The vocal training system of claim 6, wherein the compare module determines a pitch error between the player'"'"'s vocal pitch and the reference pitch and the performance evaluation module generates performance evaluation data based on the pitch error and a player profile.

8. The vocal training system of claim 1, wherein the compare module compares the player'"'"'s vocal rhythm with a reference rhythm from the reference performance.

9. The vocal training system of claim 8, wherein the compare module determines a rhythm error between the player'"'"'s vocal rhythm and the reference rhythm and the performance evaluation module generates performance evaluation data based on the rhythm error and a player profile.

10. A vocal training method, comprising:

receiving player performance data related to a musical composition;

receiving reference performance data related to the musical composition;

selecting a target range;

determining if the player performance data matches the reference performance data to within the selected target range;

generating positive performance evaluation data if the player performance data matches the reference performance data to within the selected target range; and

generating negative performance evaluation data if the player performance data does not match the reference performance data to within the selected target range.

11. The method of claim 10, further comprising:

automatically adjusting the target range based on a player profile.

12. The method of claim 10, further comprising:

manually adjusting the target range via a graphical user interface.

13. The method of claim 10, wherein determining if the player performance data matches the reference performance data, further comprises:

determining a pitch error between the player'"'"'s vocal pitch and a reference pitch from the reference performance; and

comparing the pitch error with the target range.

14. The method of claim 10, wherein determining if the player performance data matches the reference performance data, further comprises:

determining a rhythm error between the player'"'"'s vocal rhythm and a reference rhythm from the reference performance; and

comparing the rhythm error with the target range.

15. A computer-readable medium having stored thereon instructions, which, when executed by a processor, causes the processor to perform the operations of:

receiving player performance data related to a musical composition;

receiving reference performance data related to the musical composition;

selecting a target range;

determining if the player performance data matches the reference performance data to within the selected target range;

generating positive performance evaluation data if the player performance data matches the reference performance data to within the selected target range; and

generating negative performance evaluation data if the player performance data does not match the reference performance data to within the selected target range.

16. The computer-readable medium of claim 15, further comprising:

automatically selecting the target range based on a player profile.

18. The computer-readable medium of claim 15, wherein determining if the player performance data matches the reference performance data, further comprises:

determining a pitch error between the player'"'"'s vocal pitch and a reference pitch from the reference performance; and

comparing the pitch error with the target range.

19. The computer-readable medium of claim 15, wherein determining if the player performance data matches the reference performance data, further comprises:

determining a rhythm error between the player'"'"'s vocal rhythm and a reference rhythm from the reference performance; and

comparing the rhythm error with the target range.

17. The computer-readable medium of 15, further comprising:

manually selecting the target range via a graphical user interface.

20. A vocal training system, comprising:

means for receiving player performance data related to a musical composition;

means for receiving reference performance data related to the musical composition;

selecting a target range;

means for determining if the player performance data matches the reference performance data to within the selected target range;

means for generating positive performance evaluation data if the player performance data matches the reference performance data to within the selected target range; and

means for generating negative performance evaluation data if the player performance data does not match the reference performance data to within the selected target range.

21. A data structure having stored therein instructions, which, when executed by a processor, causes the processor to perform the operations of:

receiving player performance data related to a musical composition;

receiving reference performance data related to the musical composition;

selecting a target range;

determining if the player performance data matches the reference performance data to within the selected target range;

generating positive performance evaluation data if the player performance data matches the reference performance data to within the selected target range; and

generating negative performance evaluation data if the player performance data does not match the reference performance data to within the selected target range.