Audio Quality × AI

Turning how audio sounds into decisions you can measure.

Amplify Consultants helps audio and technology teams evaluate sound quality with rigorous listening tests, connect those results to objective and AI-based metrics, and set clear targets products have to meet.

13years leading perceptual evaluation at SRS Labs and Xperi/DTS
4U.S. patents in spatial audio and bass enhancement
30%faster certification development from perceptual standards
34quality metrics benchmarked against expert listener ratings
Oveal Walker, Founder and Principal Consultant
Meet the founder

Oveal Walker

Former Director, Audio Quality Control at Xperi/DTS. For 13 years I led the listening tests and quality standards behind products like DTS:X and Headphone:X. Now I help teams connect what listeners hear with what the data and AI metrics say.

More about me →
What I do

From the listening room to the data

Perceptual evaluation

Blind listening tests (MUSHRA, BS.1116, ABX, MOS) designed so the results hold up and actually answer your question.

Audio quality + AI

Which objective and AI-based metrics track what listeners hear, where they break down, and how to use them safely.

Targets & standards

Turning "it should sound great" into measurable targets, acceptance criteria, and release tests your teams can use.

Featured research

Can AI metrics stand in for listeners?

I benchmarked 34 audio quality metrics, 17 of them AI-based, against expert MUSHRA listener ratings. A machine-learning fusion model reached a correlation of 0.89 on unseen trials, compared with 0.74 for the best single metric. The limits are documented too.

Correlation with expert listener ratings (unseen trials)

ML fusion model
0.89
Best single metric
0.74

Pearson r. Higher means the score tracks what listeners actually rated.

Have a product that needs to sound right?

Or a team that needs a perceptual audio lead? Either way, let's talk.