‘SMART Subtract’ – New Product Announcement!

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We are proud to release an innovative new audio enhancement product called ‘SMART Subtract’ that can be used to easily reduce or remove interfering music, television or even speech from recordings using reference recordings of these interferences. This product combines the capabilities of three leading audio processing companies namely Salient Sciences (previously Digital Audio Corporation),  Acon Digital (creators of Acoustica) and Oxford Wave Research.

The SMARTSubtract Software can be used to quickly and easily subtract music, television or speech from an audio recording if you have a reference song, TV show, or speech recording that you want to remove from the recording and preserves the underlying speech, making it more intelligible.

SMARTSubtract  uses  MADCAT(TM) audio fingerprinting technology from Oxford Wave Research to precisely align the file with the interfering noise in it, and the reference audio file containing the interfering sounds. It then performs high quality ‘reference cancellation’ using one of the two powerful VST plugins supplied by leading audio processing software companies.  The resulting file can be easily export into WAV format.

For more information please contact us – sales@oxfordwaveresearch.com

Or visit the webpage http://oxfordwaveresearch.com/products/smartsubtract/

'We're delighted that our time-domain Reference Canceller filter that is part of the CARDINAL MiniLab Suite can now be used within SMARTSubtract, making use of MADCAT's audio alignment technology to provide a practical reference noise cancellation tool for our audio and video forensics users.'

Donald Tunstall, General Manager, Salient Sciences

'The Acon Digital Reference Canceller combined with SmartSubtract's audio synchronisation capabilities allows for high quality frequency domain reference cancellation of interfering noises that is both powerful easy to use.'

Stian Aagedal, CEO, Acon Digital

How fast can a fidget spinner video about frequency analysis go?

Last Friday, when we were just winding up for the end of the week we started getting a large number of messages on our website chat app, and also a a huge spike in the number of hits on our website (1283.05%), and in particular from our audio frequency spectrum analyser called Spectrumview.

Had we been hacked? Had some rivettingly interestingly pictures of the intimate details of audio analysis been unwittingly released on our webpage? Thankfully not. Our app had been used by the extremely talented stand-up comedian and maths communicator Matt Parker (@standupmathsto measure how fast he could get a fidget spinner to go. This video had hundreds of thousands of views each day, and just under 300,000 at the time of writing.

This is a brilliant video that shows how to use Spectrumview to calculate the frequency and thereby the speed of the tips of the fidget spinner. We are delighted to see such a weird and wonderful use for our little app.

 

Before you ask, we don’t have an Android version. There are no plans to have one just yet, but we may be persuaded. If you ask nicely.

The Linguistic Data Consortium and Oxford Wave Research announce a new collaboration

The Linguistic Data Consortium (LDC), USA and Oxford Wave Research (UK) are proud to announce a new collaboration. Oxford Wave Research (OWR) is an audio and speech R&D company based in Oxford, UK that works on audio processing and speaker diarization and recognition. This collaboration encompasses the use of LDC’s speech corpora and OWR’s audio fingerprinting, speaker diarization and recognition software.

In particular, LDC will use OWR’s audio fingerprinting technology as part of the MADCAT software (Multimedia Audio Duplication & Content Analysis Tool) to find repeated content in broadcast data including audio signatures that mark program boundaries.

The OWR Research Director, Dr Anil Alexander says,

“The OWR team is really looking forward to working with LDC on this exciting real-world application of audio fingerprinting of short utterances.”

 

LDC Executive Director Chris Cieri says

“The Consortium continually looks for new ways to integrate speech technology into data collection and annotation processes to improve speed, scale and quality while avoiding bias. We are excited by the increased capability that OWR tools offer.”

 

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