Acoustic-Sentry AI Mastering Pipeline

🎚️ Acoustic-Sentry AI Mastering Pipeline is Live! 🚀

Hey Genspark Community! 👋

I want to share a project I've been working on over the past few weeks – a fully automated audio mastering pipeline that combines the Genspark API with Groq AI (openai/gpt-oss-120b)! 🎧🤖

🎯 What Does the Workflow Do?

This n8n workflow analyzes audio files completely automatically and calculates professional mastering parameters:

✅ DSP Analysis (Python): Crest Factor, LUFS, RMS, Peak, Spectral Energy
✅ Genspark Research: Searches for professional mastering targets for your genre
✅ 4x Groq AI Nodes (openai/gpt-oss-120b): Calculates EQ, compression, limiting
✅ Multi-Stage Validation: AI checks all values for audio engineering correctness
✅ Gmail Report: Automatically sends you a detailed mastering report

🔥 Why Groq Instead of Genspark LLM?

I used Groq with openai/gpt-oss-120b because:

🚀 120B-Parameter Model – significantly more powerful & precise for audio engineering than Llama models
📊 Native JSON Mode – perfect for structured outputs (Hz, dB, ratio, attack/release, etc.)
💰 100% Free – 14,400 requests/day in free tier (no credit card required!)
⚡ ~500 Tokens/s – faster than most LLM nodes

Unfortunately, I couldn't find a comparable high-performance model via the Genspark API for this type of workflow automation – hence the Groq integration! 💡

🎛️ 20+ Audio Parameters & 58 Genres

The workflow calculates professional mastering values:

Dynamics: LUFS, RMS, Peak, Crest Factor, Dynamic Range, Transients
Spectrum: Sub-Bass, Bass, Mids, Highs (Hz distribution)
Processing: 5-band EQ (Hz, dB, Q), Compression (Ratio, Threshold, Attack, Release), Limiting
Metadata: Sample Rate, Bit Depth, Format, BPM, Key

Genre Classification from 58 Predefined Genres:
Hardcore, Frenchcore, Industrial, Hard Techno, Techno, House, Trance, Drum & Bass, Dubstep, Hip-Hop, Rock, Metal, Pop, Cinematic, Ambient, Acoustic, Orchestral, Experimental, Speech, and more.

Genre Customization: You can add or edit genres in the Audio Classification node by modifying the JSON Expression. When the classification detects "Unknown", the AI agents autonomously select the best mastering approach based on the complete DSP analysis. 🎨

🤖 AI Agent Autonomy

The 4 AI agents work completely autonomously:

Each node receives the full DSP analysis and determines independently what needs to be done:

✅ Already mastered track? The agents recognize it and avoid over-processing
✅ Missing dynamics? The agents calculate optimal compression ratios
✅ Frequency imbalances? The agents design corrective EQ curves
✅ Excessive limiting? The agents recommend gentler settings

No manual intervention needed – the agents analyze, validate, and adapt based on the audio's actual state! 🧠

🔬 Groq Nodes: Under the Hood

The 4 Groq nodes contain highly specialized audio engineering logic:

⚠️ In the video tutorial, I intentionally skipped the Groq node settings because:

300+ lines of system prompts per node (too complex for standard users)
Proprietary DSP terminology (Crest Factor, PLR, LRA, multiband processing)
Sensitive data (production targets for Spotify, YouTube, mastering)

✅ BUT: The complete n8n workflow is open-source and fully editable! Audio engineers can view all prompts and customize them for their own mastering needs. 🛠️

📦 Download & Setup

🎥 Video Tutorial: https://www.genspark.ai/aidrive/s/7077d887-d109-4c5d-9cfc-5f5ace19b749/85694443-818f-4bab-81d7-700c29fc8055
📄 n8n Workflow JSON: https://www.genspark.ai/aidrive/s/7077d887-d109-4c5d-9cfc-5f5ace19b749/12ba3c42-2d9a-43f1-aeb9-c550ef604b80
📖 Detailed Setup Guide: https://www.genspark.ai/aidrive/s/7077d887-d109-4c5d-9cfc-5f5ace19b749/85694443-818f-4bab-81d7-700c29fc8055

What you need (all free):

Genspark API Token (create here)
Groq API Key (sign up here – no credit card!)
Gmail App Password (create here)

Setup Time: ~10 minutes
Cost per Run: ~$0.01 (only Genspark API, rest is free)

💡 Use Cases

This workflow is perfect for:

🎵 Music Producers – Mastering recommendations for your tracks
🎙️ Podcast Editors – Loudness normalization (LUFS targets)
🎬 Video Creators – Audio post-production checks
🔊 Audio Engineers – Automated quality control

🙏 Feedback & Questions?

If you test the workflow or have questions – feel free to write in the thread! 💬

Looking forward to your feedback! 🚀

Developed by: Demian | Genspark Genius Ambassador for Creative Work
Tech Stack: Genspark API, Groq AI (openai/gpt-oss-120b), n8n, Python, Gmail
Release-Date: July 2026