SpectraSing: Generative Singing AI Agent
A hyper-personalized voice agent that sings your lyrics with expressive emotion, branded tone, and cultural
nuance—at scale.
- Client:: A top-tier global creative agency for their campaign for a leading global confectionery brand
- Solution Type: Generative AI Singing Voice System
- Use Case: Hyper-personalized user-generated content (UGC) for multilingual brand campaigns
Problem
Personalization at scale remains one of the biggest challenges for global brands. Static campaigns struggle to emotionally engage users across languages and cultures. This brand aimed to change that — enabling people to create their own personalized songs in seconds, powered by AI that could sing with emotional tone, language fluency, and cultural nuance. Traditional marketing content often lacks interactivity and personalization. the brand wanted a breakthrough experience where users could create AI-generated songs in their own language and style —sung by avatars with emotion and brand tone. The challenge: generate expressive, believable, multilingual AI singing voices in real-time, at global scale.
Objective
To develop an AI singing voice system that:
- Synthesizes emotionally expressive vocals in multiple languages
- Supports real-time personalization of lyrics and music tone
- Delivers high-quality media with brand visuals and avatars
- Scales to millions of outputs with minimal human intervention
AI Agent Architecture
1) Input Processing Layer
- Frontend Interface:: Web UI where users enter or choose lyrics in English, Hindi, French, or German
- Language Detection: Used langdetect (Python) to auto-route to language-specific voice models
2) Text-to-Singing Voice Pipeline
- Voice Cloning Engine:
- Coqui TTS fine-tuned on branded voice samples
- Bark by Suno.ai for expressive emotional singing synthesis
- Singing Optimization:
- Tuned voice model for lyrical rhythm via phoneme sustain
- Pitch & tempo normalized to align with beat structure
3) Real-Time Composition & Mixing
- Lyric-to-Audio Alignment:
- Forced alignment tools to sync lyrics with beat templates
- Dynamic Score Generator:
- Instrumental loops mixed using pydub and librosa
- Users select emotion (happy, festive, mellow) + instruments (piano, EDM, guitar)
4) Media Generation Layer
- Lip Sync & Animation:
- Used Blender3D with phoneme-to-viseme mapping for singing avatar animation
- Brand Overlay:
- OpenCV added campaign visuals, custom text, and user names
5) Deployment & Scaling:
- Infrastructure:
- Modular APIs deployed via AWS Lambda
- Output delivery via S3 + CloudFront
- Devops:
- CI/CD with GitHub Actions and Docker containers
Deployment & Integration
| Category | Details |
|---|---|
| Deployment | Python, LangChain, Docker, n8n |
| Channels/Platforms | Google Calendar, Gmail, Notion, Todoist, Sheets |
| Monitoring Tools | Logs + workflow status via n8n dashboard |
Business Results
| Metric | Result |
|---|---|
| Task Execution Success Rate | >85% end-to-end multi-step task completion |
| Time Saved | \~80% reduction in user effort for repetitive tasks |
| Contextual Recall Accuracy | High precision memory recall across sessions |
| Productivity Uplift | Enables 24x7 AI-assistant behavior for professionals |
Localizations & Variants
- Multilingual versions: Hindi, French, English, German
- Tone presets: festive, romantic, mellow
- Event-specific campaigns: Valentine’s Day, Easter
Expansion Potential
- Integrate with Snapchat Lenses and Instagram AR filters for avatar + voice
- Add user voice cloning for duet-style experiences
- Plug into Spotify Canvas for song sharing directly