BoryMusicAI Platform

BoryMusicAI Platform | Bory AI Music Education Analytics Platform |

Bory's common AI music education platform that analyzes performance audio, vocals, sheet music, MIDI, and learning histories with AI and connects them to performance assessment, personalized feedback, learning reports, and music content generation

BoryMusicAI Platform Overview

BoryMusicAI Platform is Bory's AI music education analytics platform that uses AI to analyze performance audio, vocal recordings, sheet music, MIDI, beat, rhythm, and pitch data, and learning history data, connecting them to performance assessment, learning feedback, practice assignment recommendations, music education reports, and content generation.

In music education, instructors must listen to learners' performances and assess pitch, beat, rhythm, tempo, dynamics, expressiveness, repeated mistakes, and practice history. However, repeatedly reviewing and documenting every learner's performance imposes a significant time and workload burden.

BoryMusicAI Platform provides a common platform for performance analysis, score comparison, AI feedback, learning history management, education dashboards, and content generation, enabling music teachers and institutions to review learner performance data more systematically.

BoryMusicAI Platform can be deployed as a standalone platform or integrated with BoryPlayScore, Songle, BoryAudio Solution, BoryVoice Platform, educational apps, music academy management systems, and online course platforms.

[Platform Implementation Inquiry][AI Music Education Analytics Consultation][Performance Analysis PoC Inquiry][Request a Proposal]

Category	Details
Platform Type	A common AI analytics platform for music education, performance analysis, composition and arrangement, and feedback generation
Core Data	Performance audio, vocal recordings, MIDI, sheet music, tempo, rhythm, and pitch data, and learning histories
Core Functions	Pitch, beat, and rhythm analysis; performance scoring; score comparison; personalized feedback; and learning reports
Target Users	Music academies, schools, online music education, practical music programs, instrument practice apps, and competition and evaluation systems
Integrated Products	BoryPlayScore, Songle, BoryAudio Solution, BoryVoice Platform, BORY AI Platform

Platform Definition

BoryMusicAI Platform is a common platform that modularizes Bory's AI music education analytics technology.

A product is a packaged offering delivered to a customer, a solution is a system built for the customer's environment, and a platform is a shared technology foundation from which multiple products and solutions can be created repeatedly.

BoryMusicAI Platform provides the following functions within a unified platform architecture.

· Performance audio collection and analysis

· Vocal and instrument audio analysis

· Pitch and intonation analysis

· Beat, rhythm, and tempo analysis

· Sheet music and MIDI comparison analysis

· Performance accuracy and completeness assessment

· AI-based performance feedback generation

· Personalized practice assignment recommendations

· Learning history and growth trend management

· Teacher learning dashboard

· Music content and practice-piece generation integration

· External education system API integration

In other words, BoryMusicAI Platform is Bory's common AI music education analytics platform that “listens to, analyzes, compares, and evaluates music learning data and converts it into feedback and learning reports.”

Customer Challenges

Performance assessment depends heavily on the teacher's experience and available time

Music education relies on teachers' listening skills, experience, and observation to assess learner performance. However, as class sizes grow or online lessons increase, it becomes difficult to listen to and document every performance in detail. BoryMusicAI Platform performs an initial AI analysis of performance data so teachers can understand learning status more quickly.

It is difficult for learners to objectively identify where they made mistakes

Learners often cannot tell whether they sang or played the wrong pitch, fell behind the beat, or repeatedly made mistakes in a particular section. BoryMusicAI Platform can compare actual performance with sheet music, MIDI, and reference audio to identify section-level errors and improvement points.

Practice histories are not accumulated as data

The number of practice sessions, practice time, repeated mistakes, improvement speed, and completion level for each piece are important educational data. However, most learning environments do not store this history systematically. BoryMusicAI Platform stores learning data and presents growth trends through dashboards and reports.

Online music education lacks timely feedback

In remote lessons and online courses, teachers cannot directly observe every stage of a learner's practice. BoryMusicAI Platform analyzes recorded or uploaded performances and provides basic feedback, serving as a complementary tool for online music education.

Creating music education content and assignments becomes repetitive work

Teachers must create level-specific practice pieces, rhythm exercises, pitch exercises, vocal exercises, and repeated assignments. Based on learner levels and analysis results, BoryMusicAI Platform can assist in generating practice assignments, feedback text, and educational content.

Platform Overview

BoryMusicAI Platform is Bory's common music AI platform that collects, analyzes, evaluates, and visualizes music education data and integrates it with education services.

· Audio input and recording module

· Audio preprocessing and noise reduction module

· Pitch and intonation analysis module

· Rhythm, beat, and tempo analysis module

· Sheet music and MIDI comparison module

· Performance scoring and error-section detection module

· Vocal and instrument-specific feature analysis module

· AI feedback generation module

· Learning history and growth trend management module

· Teacher and learner dashboards

· Music content generation integration module

· Education platform API integration module

Depending on the customer's educational environment, BoryMusicAI Platform can be configured as a web-based platform, a mobile app-integrated system, an administrative system for academies and schools, an online lesson platform, or an API-integrated system.

Core Modules

1. Performance Audio Input and Recording Module

This module collects learner performance audio, vocal recordings, instrument recordings, and submitted assignment files. It can integrate with mobile apps, web browsers, PCs, kiosks, and external recording devices.

· Piano, guitar, violin, and wind instrument performance recording

· Vocal practice audio collection

· Assignment audio upload

· Online lesson performance file collection

· Audio storage by practice session

2. Audio Preprocessing Module

This module processes noise, volume variations, silent sections, and differences in audio length caused by recording environments before analysis. It is a foundational function for improving analysis quality.

· Noise reduction

· Silence detection

· Volume normalization

· Performance start and end detection

· File format conversion

3. Pitch and Intonation Analysis Module

This module analyzes pitch changes in instrumental or vocal performances and identifies differences from reference pitches. It can analyze intonation accuracy, off-pitch notes, sustained-note stability, and section-level pitch changes.

· Intonation accuracy analysis

· Off-pitch section detection

· Vocal pitch stability analysis

· Assistance in checking instrument tuning status

· Section-level pitch graph generation

4. Rhythm, Beat, and Tempo Analysis Module

This module analyzes the temporal structure of a performance to identify beat, rhythm, tempo, timing instability, delays, and rushing.

· Beat accuracy analysis

· Rhythm pattern comparison

· Tempo stability analysis

· Measure-level timing error detection

· Performance comparison against a metronome reference

5. Sheet Music and MIDI Comparison Analysis Module

This module compares learner performances with reference sheet music, MIDI, model performances, or teacher-provided reference audio. It can identify where errors occurred, which notes were omitted, and which rhythms differed.

· Sheet music-based performance comparison

· MIDI-based pitch and rhythm comparison

· Measure-level error analysis

· Repeated-error section detection

· Piece completion analysis

6. Performance Scoring and Assessment Module

This module provides performance assessment results by combining pitch, beat, rhythm, tempo, completion, repeated mistakes, and expressive elements. Scoring categories and criteria can be adjusted to educational objectives.

· Performance accuracy score

· Separate scores for pitch and beat

· Piece completion assessment

· Assignment pass criteria settings

· Learner-specific assessment reports

7. AI Feedback Generation Module

This module converts analysis results into sentences that learners can easily understand. Rather than showing only scores, it explains the sections that need improvement and recommended practice directions.

· Section-level improvement feedback

· Guidance text by learner level

· Draft teacher comments

· Practice method recommendations

· Next assignment suggestions

8. Personalized Learning History Management Module

This module stores and manages learners' practice frequency, assignment submissions, score changes, improved sections, and progress by piece.

· Practice history storage

· Score trend tracking

· Progress management by piece

· Repeated-error pattern analysis

· Learner growth reports

9. Teacher Dashboard Module

This administrative screen allows teachers to review each learner's performance status and assignment progress. It provides visibility into student weaknesses, assignment submission status, and lesson preparation materials.

· Learning status by class and student

· Assignment submission management

· Error-section review

· AI feedback review

· Lesson report generation

10. Learner Feedback Screen Module

This screen allows learners to review their performance analysis results. It provides scores, pitch and beat graphs, error sections, improvement feedback, and the next practice assignment.

· My performance analysis results

· Measure-level error display

· Pitch and rhythm graphs

· AI coaching messages

· Next practice assignment review

11. Music Content Generation and Recommendation Module

This module assists in generating practice patterns, rhythm exercises, pitch exercises, accompaniment, and simple composition and arrangement content tailored to each learner's level and goals.

· Level-specific practice assignment generation

· Rhythm training content generation

· Vocal practice phrase generation

· Accompaniment and practice-track recommendations

· Songle-integrated music generation

12. Education System API Module

This API module connects BoryMusicAI Platform analysis results with academy management systems, online course platforms, mobile apps, LMSs, and external content platforms.

· Performance analysis API

· Assignment submission API

· Learning history API

· Assessment result API

· Education dashboard integration API

Platform Deployment Models

Web Platform Type

This type provides performance audio upload, analysis result viewing, and teacher dashboard operation through a browser. It is suitable for music academies, schools, and online lesson services.

Mobile App-Integrated Type

This type allows learners to record performances on a smartphone and review analysis results. It is suitable for personal practice, assignment submission, and remote lessons.

Educational Institution Administrator Type

This type enables academies, schools, and educational institutions to manage assignments, scores, feedback, and learning histories for multiple learners in one place.

API Integration Model

This type connects performance analysis and AI feedback functions to a customer's existing education platform, LMS, music app, or academy management system via APIs.

Cloud Model

This type manages multiple branches, learners, and content resources centrally in the cloud. It is well suited to expansion into a service-based music education platform.

On-Premises Model

This type can be deployed in environments that require private-network or self-hosted server operation, such as schools, institutions, and corporate training centers.

Application Areas

Music Academies and Practical Music Education

It can be used for learner performance assignment submission, performance scoring, AI feedback, teacher dashboards, and learning history management.

School Music Education

It can be used in elementary, middle, high school, and university music classes for performance assignment assessment, rhythm and beat training, and personalized learning reports.

Online Music Education Platforms

It can be used to automatically analyze learner performances and provide feedback in remote lessons, online courses, and practice apps.

Instrument Practice Apps and Services

It can provide pitch, beat, and rhythm analysis and practice assignment recommendations for piano, guitar, string, wind, and other instrument practice.

Vocal Training

It can be used to analyze vocal pitch, range, pitch stability, phonation sections, and beat accuracy and to suggest practice directions.

Music Competition and Assessment Support

It can be used in a structure where AI provides initial analysis data for performance assessment and judges or teachers make the final decision.

AI Composition and Music Content Services

Through integration with Songle, it can expand into generating level-specific practice pieces, accompaniment, rhythm patterns, and educational music content.

Integrated Products and Solutions

BoryPlayScore

It serves as the core analytics platform for the AI Performance Analysis Package. It analyzes learner performance audio and provides scores, error sections, and feedback.

Songle

It can integrate with AI composition services to expand into educational practice-piece generation, accompaniment, music content generation, and customized music production.

BoryAudio Solution

It extends the scope of music education analytics by integrating audio analysis, acoustic feature extraction, music generation, and sound analysis functions.

BoryVoice Platform

It can integrate vocal analysis, speech analysis, voice input, voice feedback, and conversational educational guidance functions.

BoryData Platform

It can connect learning histories, assessment results, practice data, statistics, and reports to a data analytics platform.

BORY AI Platform

It connects generative AI, natural language processing, audio analysis, dashboard, and API functions to a higher-level AI platform.

Expected Benefits

More Efficient Performance Assessment

It reduces the burden of teachers repeatedly listening to and documenting every performance and allows AI analysis results to support lesson preparation and feedback.

Stronger Personalized Feedback

Learners can identify pitch, beat, rhythm, and repeated-error sections and receive specific practice directions.

Music Education Data Asset Development

Practice histories, assignment submissions, assessment results, and growth trends can be accumulated as data and used to improve educational quality.

Greater Competitiveness in Online Music Education

Performance analysis and feedback can be provided even in remote environments, improving the completeness of online music education services.

Higher Content Production Productivity

AI can assist with generating feedback, assignments, and practice content that teachers would otherwise create repeatedly.

Expansion of Bory's Music AI Product Portfolio

Based on BoryMusicAI Platform, BoryPlayScore, Songle, BoryAudio, educational apps, and music analytics APIs can be expanded rapidly.

Deployment Process

Requirements Review: The target learners, instrument types, assessment criteria, connected systems, and service format are reviewed.
Data Environment Analysis: Performance audio, vocal data, sheet music, MIDI, reference audio, and learning history data are reviewed.
Analysis Criteria Design: Pitch, beat, rhythm, tempo, completion, and feedback criteria are defined according to educational objectives.
PoC Implementation: Performance analysis, scoring, and feedback quality are validated using selected pieces and learner data.
Platform Implementation: The AI analysis engine, server, database, dashboard, APIs, user screens, and administrator screens are implemented.
Product and Service Integration: The platform is integrated with BoryPlayScore, Songle, educational apps, web services, and academy management systems.
Operational Validation and Enhancement: Analysis accuracy, feedback quality, screen usability, and reports are improved based on actual learning data.

What BoryMusicAI Platform Can Deliver

· AI music education analytics platform implementation

· Performance audio analysis engine implementation

· Pitch and intonation analysis system implementation

· Beat, rhythm, and tempo analysis system implementation

· Sheet music and MIDI-based performance comparison analysis

· AI performance scoring system implementation

· Section-level error detection and feedback generation

· Vocal training analytics function implementation

· Teacher learning dashboard implementation

· Learner performance feedback screen implementation

· Personalized learning history and growth trend management

· Automated music education report generation

· Level-specific practice assignment recommendations

· AI composition and practice-piece generation service integration

· Online music education platform integration

· Music academy and school assignment management system integration

· Performance analysis API provision

· BoryPlayScore core platform integration

· Songle music generation service integration

Implementation Inquiries

BoryMusicAI Platform can be proposed as a web platform, mobile app-integrated system, educational institution administrator system, cloud-based system, or API-integrated system depending on the customer's music education objectives, instrument types, learner scale, assessment criteria, available content, and existing system architecture.

· AI music education analytics platform adoption inquiry

· Performance analysis AI platform implementation inquiry

· AI performance scoring system inquiry

· Pitch and rhythm analysis engine inquiry

· Sheet music and MIDI comparison analysis inquiry

· Vocal training AI analytics inquiry

· Teacher music education dashboard inquiry

· Online music education platform integration inquiry

· BoryPlayScore integration inquiry

· Songle music generation service integration inquiry

· Request a PoC proposal

Important Information

BoryMusicAI Platform is an AI-based music education analytics platform that analyzes performance audio, vocals, sheet music, MIDI, and learning histories to support performance assessment and learning feedback.

This platform supports music education and practice and should not be presented as a replacement for professional teacher guidance or final assessment.

Performance analysis results may vary depending on recording quality, microphone performance, ambient noise, instrument tuning, performance speed, sheet music data quality, reference audio, and learning data conditions.

AI-generated scores, feedback, practice assignments, and reports should be reviewed by a teacher or operator and used appropriately for educational purposes.

When using audio recordings, sheet music, MIDI, accompaniment, or educational content, copyright, usage rights, and license scope must be reviewed in advance.

If learner voices, performance audio, names, learning histories, or assessment results are stored or analyzed, privacy standards and data security policies must be agreed in advance.

Before adoption, the target instruments, assessment criteria, data collection method, storage scope, copyright handling rules, personal data processing rules, connected systems, and operational standards must be reviewed.

Related Products, Solutions, and Platforms

BORY.ai Key Services Overview

Bory Co., Ltd. develops products, solutions, platforms, and services for industrial, medical, public-sector, healthcare, and barrier-free applications based on AI technologies involving speech, language, video, sensors, and data.

Below are the main representative domains currently operated or being prepared by Bory Co., Ltd.

Primary Domain	Service/Brand	Description
bory.ai	BORY.ai	The official AI brand website of Bory Co., Ltd., serving as the company’s main website for the integrated presentation of its products, solutions, platforms, and services
borysense.com	BORY SENSE	An AI-powered hearing assistance platform that supports communication for people with hearing disabilities and older adults through real-time captioning, lip-reading AI, and AR glasses integration
borytalk.com	BORY TALK	A web-based conversational AI chatbot service designed for civil service inquiries, consultations, information guidance, and customer support
borykiosk.com	BORY KIOSK	A barrier-free AI kiosk service for older adults and people with disabilities, featuring voice guidance, captioning, and easy-to-use interfaces
boryservice.com	BORY SERVICE	A service portal introducing Bory’s AI services and custom-built AI offerings for industrial, public-sector, and everyday applications
borysong.com	BORY SONG	A music AI service that supports AI-powered composition, music generation, and sound content production

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