People of MODA; Matt Brown

MODA DAO
3 min readSep 14, 2021

Over the last 6 months the vision for Music3 has been shared one-on-one with as many music-industry insiders who would listen! It’s time to spill the beans on who they are and share some personal insights into the launch members, their partnering businesses, artists and advisors.

We’re giving you the inside scoop by releasing bios and interviews from the launch members, but remember; it’s you, your friends, your fans and favourite artists that will help make sure Web3 changes music forever.

Today we meet Matt Brown, Audio Engineer, Music Technology Consultant and Director of Step-In CTO. https://www.modadao.io/people/matt-brown

Matt is a musician and engineer with knowledge and practical experience in both software and hardware design and production. Matt is currently working as a digital signal processing engineer for Cochlear Australia. Matt holds a global patent for a unique audio recognition algorithm which he invented and built.

He often wondered, wouldn’t it be great if you could take out a microphone, record any song and get the sheet music for it? Five years later, he graduated with honours in electrical engineering at UNSW, majoring in audio signal processing. He wrote his patented engineering thesis on polyphonic music transcription — software that can to transcribe up to six simultaneously played notes. Matt has over seven years experience working on audio signal processing algorithms. Working at Cochlear, Matt built technology to help deaf people hear music for the first time.

At Dolby, Matt worked on spatial audio teleconferencing systems and smart-home wake word detection technology.

Today, Matt now uses the skills he gathered along the way to run Step-In CTO — a Sydney-based technology consultancy specialising in building turn-key technology for startups. In 2021, Step-In CTO and MODA are in collaboration building a novel acoustic fingerprinting algorithm.

This technology will allow users to upload their content to the platform and in return, an acoustic fingerprint is produced. This fingerprint contains the key elements of the work, such that an artist could have their content correctly recognised and in turn, proportional royalty paid.

Interview

What do you love most about music?

The thing I love most about music is how it can make you feel emotions that you otherwise would not have felt.

It really is a communication medium that brings us together through feeling.

Over the years, what has frustrated you the most about the music business?

Over the years there are three things that have frustrated me most.

1. The inability to transcribe live music.

2. The fact that it’s so hard for artists to be paid properly.

3. The fact that often, the art musicians produce has no unique, clear, traceable origin for other collaborators to use and pay royalties.

Why are you excited about Web3 and MODA DAO?

What excited me about MODA DAO is the opportunity for me to invent a solution to the audio fingerprinting problem. I’ve always wanted to build something that performs plagiarism detection for music.

Now that you know Matt, we encourage you to get amongst MODA DAO by visiting our Telegram, Discord, Twitter and Website, all linked below!

Telegram: https://t.me/modadao

Discord: https://discord.gg/PzU6jJ7N82

Twitter: https://twitter.com/MODA_DAO

Website: https://www.modadao.io/

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MODA DAO

MODA DAO is defining the future of music ownership, distribution and publishing via NFT standards, decentralised governance and automated finance.