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The Care and Feeding of Loudness Models J. D. (jj) Johnston Neural Audio Kirkland, Washington, USA.

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Presentation on theme: "The Care and Feeding of Loudness Models J. D. (jj) Johnston Neural Audio Kirkland, Washington, USA."— Presentation transcript:

1 The Care and Feeding of Loudness Models J. D. (jj) Johnston Neural Audio Kirkland, Washington, USA

2 Implications? Single band weighting filters can’t get it right. – They can get it moderately right for wideband signals with similar spectrum, where spectrum is smoothed on a critical band basis. This means that for some “typical signals” they aren’t too far off. There’s no mention of time here yet. – Loudness is sensed across frequency at a given time. That’s called “partial loudness” Getting that far is easy. NOW What?

3 The time domain While a variety of experiments have shown that the sum of partial loudnesses is a good measure of total loudness for a given instant, there is a lack of work on what it means when either partial or total loudness varies over time. And, that is where we are today.

4 Some issues In order to get it right, you have to know the intensity at the playback site (i.e. volume control setting, efficiency, acoustics, etc) – Good luck with that. – This creates particularly difficult issues below 500Hz. Distortion, especially in the upper (70-120Hz) region can throw off loudness measurement by a phenominal amount.

5 Bass distortion Consider a 90 Hz sine wave. – Harmonics at 180 and 270 – Each of those harmonics is separated by a critical bandwidth. – Remember compression? If the woofer has 20dB SNR (that would be a very good woofer), the total loudness would scale to something like – 1^1/4 +.01^1/4 +.01^1/4 = 1.63

6 The point? Overall, loudness models for extended periods are still in development. – We don’t know if loudness or annoyance, or something else, is what people adjust volume controls for – We don’t know if it’s peak or average, or some of both – We don’t know if everyone responds in the same fashion

7 What Else? We don’t know how well people agree on long term vs short term preferences – Some people seem to care about peak – Some care about something kinda-sorta like average We need a system that can be adapted at the point of playback, NOT at the source. – Then, just maybe, we might get some dynamic range back


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