We're recruiting a new researcher on @clarityprojuk You need to have a background in speech processing, and up for running challenges to improve speech in noise for hearing aids jobs.ac.uk/job/CYK828/research

The @CadenzaChalleng I work on has just launched a novel series of ML/DSP music challenges. Tasks: listening over headphones and in the car. This is about improving the music for the millions of people who have hearing loss @SalfordScience cadenzachallenge.org/

Today @CadenzaChalleng launch first ever DSP/machine learning challenge to improve music for those with a hearing loss. Task 1 is ready, and is about improving reproduction over headphones. Next week we'll launch task 2 on listening in the car. cadenzachallenge.org/ @EPSRC

If you missed out on yesterday's webinar for applicants to @SalfordUni brilliant scheme. A recording is uploaded here hub.salford.ac.uk/sirc-acousti Any Qs, get in touch.

We're running a webinar to help out acoustic applicants to this scheme, more details hub.salford.ac.uk/sirc-acousti
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RT @trevor_cox
Salford University had just launched a great research fellowship scheme. We're hoping to get strong applications in Acoustics. salford.ac.uk/research/univers
twitter.com/trevor_cox/status/

Salford University had just launched a great research fellowship scheme. We're hoping to get strong applications in Acoustics. salford.ac.uk/research/univers

Post-doc position to run machine learning challenges to improve the processing of speech by hearing aids. Working on claritychallenge.org/
BTW challenge is the current one.
Any Qs, get in touch. This position is in Sheffield, but I'll be involved.

Diff. between our simulated train and measured eval dataset:
* Talkers speaking differently.
* Real room acoustics.
* Directivity of interferers.
* Transducer noise.
* Lower order Ambisonics.
Clarity Challenge
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RT @clarityprojuk
More details on the new eval set for signal processing grand challenge. Including a set of example recordings. Release date 1 Feb 2023.
claritychallenge.org/docs/icas
twitter.com/clarityprojuk/stat

This dataset for ICASSP2023 @clarityprojuk is for this research Q: "Can speech enhancement systems trained on simulated data generalize to more ecologically-valid measurement data?" We're measuring with an ambisonic mic and live actors.
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RT @clarityprojuk
We're setting up ready to record our evaluation set for the @ieeeICASSP signal processing challenge on for hearing aids. St…
twitter.com/clarityprojuk/stat

if you enjoyed this exploration of pleasant sounds, @BBCRadio4 has a program at 11.30 today all about the sounds of the sea bbc.co.uk/programmes/m00193ng
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RT @trevor_cox
We have a winner "Waves on a Beach" 🏆 🌊 🏖
twitter.com/trevor_cox/status/

A few hours left to vote. Coincidentally BBC R4 have a programme on the The Susurrations of the Sea on thurs bbc.co.uk/programmes/m00193ng
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RT @trevor_cox
It's here! Waves on a Beach 🏖 vs Leaves Rustling in the Trees 🍂. After all the votes, we've come down to two sounds with really similar qualities!!! Vote now
twitter.com/trevor_cox/status/

It's here! Waves on a Beach 🏖 vs Leaves Rustling in the Trees 🍂. After all the votes, we've come down to two sounds with really similar qualities!!! Vote now

final will be on Monday. Waves on a Beach vs Leaves Rustling in the Trees. After all the votes, we've come down to two sounds with really similar audio qualities!

2nd semifinal while there is a lull is the less important 🍃 vs 🐦 Out of these two, which is your favourite sound?

First semi-final I find this one hard to call. Which gets your vote?

Learn about how competitors got on in @clarityprojuk challenge to better process speech for hearing aids. Learn about current new ICASSP challenge and help shape Clarity's future challenges. claritychallenge.org/clarity20

The semi-final line up for is (1) Waves on a beach vs Cat purring and (2) Leaves rustling in the trees vs Dawn chorus

Into the quarterfinals A head-to-head between the remaining water sounds. Which is your favourite?

BTW People have researched what makes a good water feature sound, the most memorable conclusion was avoid the "urinal effect" to get a pleasant sound.

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