Audio Infrastructure for AI Builders

Great Music AI
begins with better data.

The Audio Infrastructure. Built for Every Builder.API — A continuously expanding data infrastructure, powered by AI × Music

MusicTGA-HR is a cutting-edge platform for music AI and creative development. We deliver high-quality, rights-cleared music datasets — generated through NeuroSync technology — directly to developers via API.

10,000+
Music classification categories designed by the human ear
24bit / 48kHz
Recording Resolution
6stems
Stem Groups
API
Developer Access
Sound InfrastructureAPINeuroSync24bit 48kHz WAVStem DataMultitrack MIDIRights ClearedAI × MusicHuman-in-the-loopContinuously ExpandingSound InfrastructureAPINeuroSync24bit 48kHz WAVStem DataMultitrack MIDIRights ClearedAI × MusicHuman-in-the-loopContinuously Expanding

Why is building
music AI so hard?

01
Lack of high-quality data
optimized for AI development

Most public datasets suffer from noise, inconsistent quality, and genre bias. Environments where stems, MIDI, and detailed annotations are all available in a development-ready format remain scarce.

02
Complex rights clearance

Navigating copyright and neighboring rights for commercial music is time-consuming and costly — making it difficult for companies and researchers to use tracks confidently in training or product development.

03
High integration costs
into AI workflows

It is rare to find audio, stems, MIDI, and metadata all consistently available in a developer-ready format. Data preparation alone consumes a significant portion of engineering resources.

MusicTGA
-HR
API
Layer
NeuroSync
Rights
Clear
AI Ready
Format
BGM
MIDI

The infrastructure
every audio product needs.

Not just a music library.
The audio infrastructure powering every builder who works with sound.

MusicTGA-HR is an audio infrastructure that delivers high-quality music datasets — produced through NeuroSync technology — to developers via API. Optimized for generative AI, source separation, audio processing, BGM streaming, and research PoC, it fundamentally accelerates the speed and quality of music AI development.

API-First Design
Ready-to-use endpoints that plug into your stack immediately
🔗
NeuroSync Semantic Search
Pass in an emotion. Get back music data.
Continuously Expanding Infrastructure
An AI × Music generation loop that grows the dataset while maintaining quality standards

Bring audio infrastructure
into your product.

With our developer API, implement data retrieval, NeuroSync semantic search, and streaming in just a few lines of code. MusicTGA-HR serves as the audio infrastructure backbone for any product that works with sound.

REST API
Music Data Retrieval API

NeuroSync semantic search, filtering, individual stem retrieval, and metadata access — all via REST endpoints. Works with any language or stack.

Integration
Flexible API Integration

Call from Python, JavaScript, or any stack. Seamlessly integrate music data into your model training pipelines or web applications.

Streaming
Streaming Delivery

Data delivery built for both real-time processing and large-scale training. Scales with your usage.

API EXAMPLE
curl -X 'GET' \
  'https://partner-api.evokemusic.ai/search?term=lofi&locale=ja&page=0&hitsPerPage=1&api_key={API_KEY}' \
  -H 'accept: application/json'
AUDIO PREVIEW
アコースティックピアノ_低_リラックス_66_ジャズ_フルミックス
BPM 66Lo-fiRelaxedCafé
Acoustic Piano / Electric Guitar (Clean) / Acoustic Bass / Vibraphone
0:00/3:02

Emotion becomes
the blueprint of music.

NeuroSync is a technology that connects the meaning of search terms entered into the platform, and designs emotionally resonant music — grounded in music theory — that stimulates hearing while activating neural, cognitive, and memory responses. Its defining feature is a human-in-the-loop hybrid process that fuses algorithmic structure with the creative judgment of domain experts.

Semantic Embedding × Music Theory × Human Creative Judgment

01
Semantic Analysis

Search queries are processed with NLP and translated into musical concepts — mood, instrumentation, form, and tempo

02
Music Theory Mapping

Chord progressions, tonality, meter, and range are structurally scored using music theory parameters

03
Human in the Loop

A Human Refined process that incorporates the aesthetic judgment of musicians and domain experts — capturing nuances no machine can replicate

04
Delivered as Audio Infrastructure

Data is delivered to development teams via API. An AI × Music generation and validation loop keeps the infrastructure expanding without compromising quality

Everything you need
to build, ready to use.

24bit / 48kHz / WAV — Studio Grade

Every format your AI model needs — full mix, stems, multitrack audio, and MIDI. Metadata capturing nuances only the human ear can detect, enabling semantic search, classification, and generative evaluation.

Full Mix
2MIX AUDIO
Finished 2-mix audio (24bit / 48kHz / WAV)
Wide genre coverage from acoustic to electronic
Cross-genre diversity to strengthen training data
Stem Data
6 STEM GROUPS
Drums
Bass
Guitar
Piano
Melody
Others + Instrumental Mix
Multitrack Audio
INDIVIDUAL TRACKS
Individual audio files for every track used in each track
Directly supports source separation model training and evaluation
Enables track-level audio processing research
Multitrack MIDI
SMF / MULTI-TRACK
SMF files for all non-recorded tracks
Extract chord structures, basslines, and performance patterns
Ideal for music theory analysis and generative model conditioning
Metadata
HUMAN-ANNOTATED TAGS

Every audio file is tagged with nuances only the human ear can capture.
Expert-supervised human annotation — zero machine-generated tags.

Mood
HappyMelancholicTenseUpliftingDark

+ 385 mood variations

Video Theme
CorporateCinematicActionAmbient

Optimized for video and content use

Energy
LowMediumHighMax
Tempo / Key / Instruments
BPMKeyInstruments

How it fits
into your workflow.

Generative AI
Training and fine-tuning
music generation models

Pre-train or fine-tune high-accuracy music generation models using large datasets tagged by genre, instrumentation, and mood.

→ Combine stem / metadata / MIDI as a unified dataset

Source Separation
Boost separation accuracy
with stem-level training data

Dramatically improve source separation models using stems split by Drums, Bass, Guitar, Piano, Melody, and Others — paired with multitrack audio.

→ Leverage 6-stem + multitrack audio together

Audio Processing
Feature extraction, analysis
& emotion classification

Annotated data for audio processing research — feature extraction, emotion classification, and genre recognition. Multi-dimensional tags (Key, BPM, Mood, Energy) accelerate feature engineering.

→ Pair metadata with full mix audio

BGM & Content Streaming
Build your own BGM channel
tailored to any scene or mood

Use MusicTGA-HR as the music backbone for video, gaming, karaoke, live streaming, or in-store audio. NeuroSync's high-precision tags let you retrieve the perfect track for any scene, mood, or energy level — and build dynamic BGM streaming channels via API.

→ Dynamic BGM curation via Mood / Energy / Video Theme tags

Why MusicTGA-HR data
is genuinely high quality.

24bit / 48kHz
Studio-Grade
WAV Recording
10,000+
Music classification categories
designed by the human ear
6+1
Stem types
+ Instrumental Mix
Human in the Loop
Quality assurance through
expert judgment
  • Optimized for AI developmentData structured and delivered to support training, evaluation, and fine-tuning workflows.
  • Music-theory-based annotationChord progressions, tonality, meter, and range annotated under expert supervision — no machine-generated tags.
  • Human creative judgmentOnly data that has passed aesthetic review by musicians and engineers is included — preserving nuances no algorithm can detect.
  • Continuously expanding via AI × MusicA generation and validation loop keeps the dataset growing — without compromising the quality bar.

Why you can build
on MusicTGA-HR with confidence.

Rights-cleared music only

Every track is fully cleared for copyright and neighboring rights before inclusion — supporting commercial use, product integration, and academic research.

Clear licensing structure

Transparent license agreements tailored to your use case and scale. Documentation ready for corporate legal review and institutional ethics boards.

Proven with companies & researchers

Deployed with university labs, music tech startups, and R&D teams at major entertainment companies — from early PoC through production.

Simple paths
to integration.

API
Data API Integration

Retrieve data via REST endpoints. Callable from any stack, integrates into existing training pipelines with minimal setup.

Dataset
Dataset Delivery

Receive a packaged dataset tailored to your requirements — WAV, stems, MIDI, and metadata delivered as a complete set.

Custom / Research
Custom Design & Research Collaboration

From custom dataset design by genre, instrumentation, or mood axis, to joint research and PoC support with universities and enterprises.

How it works
01. Initial Consultation
We learn about your development goals, data specs, scale, and API preferences
02. Dataset Design & Proposal
We propose the optimal structure — stem configuration, metadata axes, and MIDI requirements
03. Trial & Evaluation (PoC)
Verify quality, fit, and API behavior with a small-scale sample before committing
04. Full Deployment & Ongoing Support
Production data delivery begins. We support additional recording, expansion, and long-term needs

Bring audio infrastructure
into your product.

API access, dataset inquiries, PoC consultations, research partnerships —
we're ready to talk.

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