Artificial Intelligence | News | Insights | AiThority
[bsfp-cryptocurrency style=”widget-18″ align=”marquee” columns=”6″ coins=”selected” coins-count=”6″ coins-selected=”BTC,ETH,XRP,LTC,EOS,ADA,XLM,NEO,LTC,EOS,XEM,DASH,USDT,BNB,QTUM,XVG,ONT,ZEC,STEEM” currency=”USD” title=”Cryptocurrency Widget” show_title=”0″ icon=”” scheme=”light” bs-show-desktop=”1″ bs-show-tablet=”1″ bs-show-phone=”1″ custom-css-class=”” custom-id=”” css=”.vc_custom_1523079266073{margin-bottom: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}”]

VNUE Announces Most Advanced Version of Soundstr Platform Yet

VNUE, Inc. is announcing the newest and most advanced version of its Soundstr audio recognition and identification platform product, Soundstr MDM.  VNUE, through significant investment and engineering advancement over the last quarter has finalized initial delivery of the music industry’s first music performance identification facility which detects and identifies recorded feature music in venues as well as live music performances.

The Soundstr Music Data Market, Soundstr MDM, delivers rich analytics for music usage reporting across a wide array of clients, including venue owners, radio station management, music performers, music labels and publishers, and rights administration clients.  Sampling, streaming, and live detection capabilities are now developed producing client and usage-specific reports representing analytics across multiple music report types.

Recommended AI News: QuickLogic Announces Strategic Investment by Long-Time and New Institutional Investors

Highlighting the Soundstr MDM platform functionality is the industry’s first live music performance identification capability, a fundamental AI-powered facet of the platform.  Live music identification as a service fills a significant gap for performing rights organizations, venue owners, and other participants in the rights management lifecycle.  Live music is sampled and through a trained machine learning engine, ever-improving identifications are produced based on VNUE’s proprietary similarity assessment techniques.

The Soundstr MDM product is delivered as a DaaS (Data as a Service) solution, utilizing both a VNUE-produced physical device for autonomous sampling which can be deployed within a music performance environment, such as a live music venue – and a streaming music delivery interpretative service to ingest digital music feeds for recognition.  Both methods manage multiple identification types, including exact music time stamping, exact music matching, silence identification, non-music recognition, speech or talking IDs, and various PRO and admin client defined usages via APIs.

Related Posts
1 of 30,400

Recommended AI News: TiDB Cloud Launches in AWS Marketplace

VNUE is working with an initial set of customers to train and refine the Soundstr MDM facilities, which include over 70 million fingerprint tracks, to support music use auditing, attribution across performing rights organizations, learning facilities for continuously improving ID results, and more.

Zach Bair, VNUE CEO, described this significant engineering delivery: “VNUE has built the cornerstone technology for a new music administration service for the industry.  With the Soundstr MDM offering, we can deliver value to a cross section of clients including venue owners using music, music industry professionals looking to understand both feature and live music usage in bricks and mortar locations, and a cross section of music rights holders and rights administration organizations.”

Recommended AI News: Brivo Delivers Enterprise Security Solutions to Global Customers Including Afterpay and Angi

[To share your insights with us, please write to]

Comments are closed.