A method and associated systems for real-time analysis of a musical performance using analytics. A performance-analysis system receives feedback from which may be inferred an audience's reaction to the performance. This feedback may be derived from sensors embedded in instruments or microphones, from video-input devices that visually represent the audience's body language and facial expressions, and from performance ratings and natural-language comments submitted by audience members to a social-media network or performance-rating application. An analytics engine of the performance-analysis system uses methods of artificial intelligence to infer the audience's emotional state from the received feedback and to determine whether certain characteristics of the performance are undesirable. The system represents these inferences as a value of a performance index and represents the index value to the performers. The system may also make specific recommendations deemed likely to reduce undesirable performance characteristics during the remainder of the performance.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A performance-analysis system comprising a processor, a memory coupled to the processor, one or more sensors coupled to the processor and embedded into musical instruments used by performers of a musical performance, a network interface that connects the processor to a computer network, and a computer-readable hardware storage device coupled to the processor, the storage device containing program code configured to be run by the processor via the memory to implement a method for analysis of a musical performance using analytics, the method comprising: the processor electronically receiving feedback characterizing an ongoing musical performance by one or more performers; the processor inferring a characteristic of the performance by using an artificially intelligent analytics procedure to analyze the feedback, where the analytics procedure is a function of a repository of archived information about past performances by the one or more performers and of a knowledgebase from which the feedback may be given semantic meaning, and where the inferred characteristic is considered undesirable by the one or more performers; and the processor communicating the inferred characteristic to the one or more performers for the purpose of allowing the one or more performers to alter their ongoing performance in order to mitigate undesirability of the inferred characteristic. 2. The system of claim 1, where the feedback comprises an electronic record of the ongoing performance recorded by the sensors during the ongoing performance. 3. The system of claim 1, where the feedback comprises a performance rating submitted by an audience member through a personal communications device to an Internet-based service, and where the performance rating is received by the processor through the network interface. 4. The system of claim 1, where the feedback comprises a visual identification of involuntary behavior of the audience, and where the inferring comprises performing an analytics-based sentiment analysis upon the visual identification. 5. The system of claim 4, where the involuntary behavior comprises at least one audience member's body language and facial expressions. 6. The system of claim 1, where the feedback comprises: an electronic record of the ongoing performance recorded by the sensors during the ongoing performance, a set of performance ratings submitted by at least one audience member through a personal communications device to an Internet-based service, and a visual identification of at least one audience member's body language and facial expressions, and where the inferring comprises: performing an analytics-based sentiment analysis upon the visually identified body language and facial expressions, and computing a numeric performance index as a function of: a percent of the set of performance ratings that indicate an undesirable audience reaction, a percent of sentiments identified by the sentiment analysis that indicate an undesirable audience reaction, and a percent of notes played incorrectly by a performer of the one or more performers. 7. The system of claim 1, where the performance is a practice exercise, where the feedback comprises an electronic record of the ongoing performance recorded by the sensors during the ongoing performance, and where the characteristic is an inaccurate playing of a note of a musical score. 8. The system of claim 1, where the inferring further comprises a determination that a modification to the performance of at least one performer of the one or more performers during the remainder of the ongoing performance is likely to mitigate the undesirability of the characteristic, and where the communicating comprises recommending the modification to the at least one performer. 9. A method for analysis of a musical performance using analytics, the method comprising: a processor of a performance-analysis system electronically receiving feedback characterizing an ongoing musical performance by one or more performers; the processor inferring a characteristic of the performance by using an artificially intelligent analytics procedure to analyze the feedback, where the analytics procedure is a function of a repository of archived information about past performances by the one or more performers and of a knowledgebase from which the feedback may be given semantic meaning, where the inferred characteristic is considered undesirable by the one or more performers, and where the inferring further comprises a determination that a modification to the performance of at least one performer of the one or more performers during the remainder of the ongoing performance is likely to mitigate the undesirability of the characteristic; and the processor communicating the inferred characteristic to the one or more performers for the purpose of allowing the one or more performers to alter their ongoing performance in order to mitigate undesirability of the inferred characteristic, where the communicating comprises recommending the modification to the at least one performer. 10. The method of claim 9, where the feedback comprises an electronic record of the ongoing performance recorded during the ongoing performance by one or more sensors coupled to the processor and embedded into musical instruments used by performers. 11. The method of claim 9, where the feedback comprises a performance rating submitted by an audience member through a personal communications device to an Internet-based service, and where the performance rating is received by the processor through a network interface. 12. The method of claim 9, where the feedback comprises a visual identification of at least one audience member's body language and facial expressions, and where the inferring comprises performing an analytics-based sentiment analysis upon the visual identification. 13. The method of claim 9, where the feedback comprises: an electronic record of the ongoing performance recorded during the ongoing performance by one or more sensors coupled to the processor and embedded into musical instruments used by performers, a set of performance ratings submitted by at least one audience member through a personal communications device to an Internet-based service, and a visual identification of at least one audience member's body language and facial expressions, and where the inferring comprises: performing an analytics-based sentiment analysis upon the visually identified body language and facial expressions, and computing a numeric performance index as a function of: a percent of the set of performance ratings that indicate an undesirable audience reaction, a percent of sentiments identified by the sentiment analysis that indicate an undesirable audience reaction, and a percent of notes played incorrectly by a performer of the one or more performers. 14. The method of claim 9, where the performance is a practice exercise, where the feedback comprises an electronic record of the ongoing performance recorded by the sensors during the ongoing performance, and where the characteristic is an inaccurate playing of a note of a musical score. 15. The method of claim 9, further comprising providing at least one support service for at least one of creating, integrating, hosting, maintaining, and deploying computer-readable program code in the computer system, wherein the computer-readable program code in combination with the computer system is configured to implement the receiving, the inferring, and the communication. 16. A computer program product, comprising a computer-readable hardware storage device having a computer-readable program code stored therein, the program code configured to be executed by a performance-analysis system comprising a processor, a memory coupled to the processor, one or more sensors coupled to the processor and embedded into musical instruments used by performers of a musical performance, a network interface that connects the processor to a computer network, and a computer-readable hardware storage device coupled to the processor, the storage device containing program code configured to be run by the processor via the memory to implement a method for analysis of a musical performance using analytics, the method comprising: the processor electronically receiving feedback characterizing an ongoing musical performance by one or more performers; the processor inferring a characteristic of the performance by using an artificially intelligent analytics procedure to analyze the feedback, where the analytics procedure is a function of a repository of archived information about past performances by the one or more performers and of a knowledgebase from which the feedback may be given semantic meaning, and where the inferred characteristic is considered undesirable by the one or more performers, and where the inferring further comprises a determination that a modification to the performance of at least one performer of the one or more performers during the remainder of the ongoing performance is likely to mitigate the undesirability of the characteristic; and the processor communicating the inferred characteristic to the one or more performers for the purpose of allowing the one or more performers to alter their ongoing performance in order to mitigate undesirability of the inferred characteristic, where the communicating comprises recommending the modification to the at least one performer. 17. The computer program product of claim 16, where the feedback comprises an electronic record of the ongoing performance recorded during the ongoing performance by one or more sensors coupled to the processor and embedded into musical instruments used by performers. 18. The computer program product of claim 16, where the feedback comprises a performance rating submitted by an audience member through a personal communications device to an Internet-based service, and where the performance rating is received by the processor through a network interface. 19. The computer program product of claim 16, where the feedback comprises a visual identification of at least one audience member's body language and facial expressions, and where the inferring comprises performing an analytics-based sentiment analysis upon the visual identification. 20. The computer program product of claim 16, where the feedback comprises: an electronic record of the ongoing performance recorded during the ongoing performance by one or more sensors coupled to the processor and embedded into musical instruments used by performers, a set of performance ratings submitted by at least one audience member through a personal communications device to an Internet-based service, and a visual identification of at least one audience member's body language and facial expressions, and where the inferring comprises: performing an analytics-based sentiment analysis upon the visually identified body language and facial expressions, and computing a numeric performance index as a function of: a percent of the set of performance ratings that indicate an undesirable audience reaction, a percent of sentiments identified by the sentiment analysis that indicate an undesirable audience reaction, and a percent of notes played incorrectly by a performer of the one or more performers.